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Table of Content

    10 July 2023, Volume 31 Issue 4
    Research progress on sustainable fashion consumption
    ZHOU Zeyan, XU Jun, SHAN Yufu, HAO Yan, LEI Zhenzhen
    2023, 31(4):  1-10. 
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    Sustainability is the focus of the fashion industry, but the research on sustainable fashion consumption is still very scattered, lacking of more systematic summary. Based on the above problems, this paper uses Bibliometrix to conduct a quantitative analysis and a systematic literature review of 140 articles published in the Web of Science from 2018 to 2022. As shown by the results, this field mainly conducts research from four themes: consumer perspective, business perspective, product perspective and industry perspective. Challenges in sustainable fashion consumption include pollution, complexity, incompatibility, ecological consciousness, social status and unfairness. Opportunities in sustainable fashion consumption include utilitarianism, hedonism, leadership influence, nostalgia, pollution management and adequacy. Future research can be carried out from the perspective of national characteristic culture, technology perspective, nostalgic perspective, infant perspective, and transnational perspective. 
    Analysis of green standards of China′s textile and garment industry
    HE Chengtiana, b, DONG Tingwei, FU Chenxina, YU Tongqiana, XU Yua, YE Xiangyu, WANG Lailia, b,
    2023, 31(4):  11-19. 
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    In order to systematically analyze the green standards of China′s textile and garment industry, we statistically categorized the existing relevant green standards, sorted out the green evaluation indexes and compared the green index limits. The results show that the current green standards of textile and garment industry are divided into three categories of restricted standards (the norm of water intake, the discharge limit of water pollutants, and the norm of energy consumption) and five categories of encouraging standards (the water-saving enterprise evaluation, the green factory evaluation, the green-ecological product evaluation, the green industrial park evaluation and the green supply chain evaluation). The evaluation indexes in the first four categories of standards only set requirements for a certain aspect of green performance, while the latter four categories of standards are based on the multi-dimensional comprehensive evaluation of water withdrawal, energy consumption, pollutant emission and other indicators. In terms of the norm of water intake and wastewater discharge limit per unit of product, the standards for the norm of water intake and discharge standards of water pollutants have the minimum requirements in relevant standards. In terms of energy consumption limit per unit product, there is a small gap in the limit value among the standards for the norm of energy consumption, green factory evaluation standards and green-ecological product evaluation standards for similar products.
    Environmental impact calculation and assessment of bio-based chemical fiber textiles
    HU Xuerui, HE Tingting , PENG Yanyan , DING Xuemei
    2023, 31(4):  20-28. 
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    Chemical fibers, as the most used fiber raw material for textile and apparel products, are obtained from petroleum, and the overuse of petroleum resources and excessive emission of carbon dioxide (CO2) have brought about a series of resource and environmental problems. Therefore, in order to reduce the dependence on fossil resources and to address global environmental issues and climate change, bio-based chemical fibers have become one of the raw materials of choice for future development as an alternative to petroleum-based fibers. Bio-based chemical fiber textiles are somehow considered as green fiber products in academic and industrial circles; however, there is no systematic analysis of accounting and evaluation of their environmental attributes.
    Therefore, this paper systematically studied 2,382 related papers between January 2010 and June 2022 using statistical measures and content analysis, finding that the majority of existing studies focus on the development and performance of bio-based chemical fiber materials, with only eight papers using the LCA method to calculate the seven types of fibers: viscose, Lyocell, modal, bio-based PET, PTT, PLA, and synthetic spider silk. Among the eight papers, 87.5% of the research literature involves one or two stages of the product life cycle, of which the boundary from raw materials (planting) to fiber manufacturing account for the highest percentage (75%), followed by fiber production to waste disposal (37.5%), without involving the whole life cycle assessment. The accounting indicators focus on the global warming potential and acidification potential, and the bio-carbon storage accounting methods are still controversial, with different calculation methods yielding diametrically opposed results. The evaluation results indicate that bio-based chemical fibers are better than petroleum-based ones in terms of resource consumption and toxicity risk, but they may also have problems such as increased water pollution, increased land use, and impact on ecosystem quality. The environmental impact of bio-based chemical fibers in the production process is not significantly different from that of traditional petroleum-based chemical fibers and is mainly influenced by their different biological sources.
    In general, there are large research gaps in the environmental impact accounting and evaluation of bio-based chemical textiles, and the existing research findings are not enough to prove the green attributes of bio-based chemical textiles. As for such questions as whether bio-carbon should be accounted for in bio-based chemical fibers and how to define the duration of carbon sequestration, it is suggested to determine the bio-cabron accounting method for this category according to the application areas of bio-based products. It is suggested that future life cycle assessment of bio-based chemical textiles in a broader consumer context and practical applications should be conducted on a multidimensional level.
    Life cycle assessment system and database analysis of textile products
    WU Chongzhena, LI Qizhenga, b, LIU Canc, WANG Lailic
    2023, 31(4):  29-36. 
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    Life cycle assessment (LCA) is a comprehensive method to identify and evaluate the environmental impact of a product or a process throughout the life cycle, which can effectively identify the key stages of the environmental impact of a product's life cycle and thus provide important and accurate guidance for the development of energy conservation and emission reduction strategies. Due to the long and complex supply chain and manufacturing processes, the textile industry is inevitably one of the most pollutant industries around the world. Therefore, conducting life cycle assessment and selecting the appropriate LCA systems and databases for textile products and production processes are of vital significance. China is one of the largest producers and consumers of textile products around the world. LCA of textile products is an effective tool to quantify the environmental impacts generated by the production and consumption of textile products, which further provides valid references for green and low-carbon textile product design, production and consumption. Data collection and result evaluation are two key aspects of product LCA. Using LCA system and its built-in database of impact factors for energy, materials and other input lists can greatly improve the efficiency and accuracy of LCA for products.
    In order to conduct a systematic and comprehensive analysis of LCA systems and databases for textile products, we firstly searched literature pertaining to product LCA research on China National Knowledge Infrastructure (CNKI) and Web of Science and summarized the product LCA systems and databases applied in the literature. Considering that LCA of textile products is receiving increasing attention and research, we then searched the literature on LCA research of textile products and analyzed the assessment systems and databases applied in literature. According to the fiber category, the literature found was classified and the impact models and LCA databases used were listed and compared. In addition, we systematically analyzed and compared the accounting interfaces of the current LCA systems of textile products, including the tree interface, flowchart interface and Sankey diagram interface and so on. The built-in Ecoinvent database, Gabi database, and IDEMAT database of Simapro and Gabi systems contain most of the material and energy inventory data required for conducting LCA of textile products. Thus, Simapro and Gabi systems are most widely used in LCA studies of textile products among the current LCA systems. Database and the number of impact assessment models, characterization factors, normalization factors as well as weighting factors applied in the research literature of LCA of textile products were compared as well. And we took the characterization factor of marine ecotoxicity and normalization factors of EDIP model for example. On the whole, the number of built-in databases and impact assessment models in the LCA system directly determines the comprehensiveness and accuracy of LCA results. LCA systems often have the same sorts of characterization factors with different values between built-in databases. Taking the Simapro and Gabi systems which are widely used in LCA studies of textile products as examples, we compared the marine ecotoxicity characterization factors of the ReCiFe2016 database and normalization factors of EDIP model within the two evaluation systems. In addition, we analyzed the reasons and influencing factors for the differences in weighting factors in different LCA systems. The inconsistency of characterization factors, normalization factors, and weighting factors among major LCA systems and databases, as well as the different numbers of databases and impact assessment models lead to differences in results when LCA studies are conducted for the same textile product using different LCA systems and databases. The results show that in terms of cases of LCA of textile products, Simapro system and Gabi system are the systems used most commonly, accounting for 53.77% in total. In terms of impact evaluation databases used in cases of LCA of textiles, Ecoinvent database and Gabi database are the databases used most commonly in the LCA of textile products, accounting for 79.24% in total. Moreover, the built-in databases of Simapro and Gabi systems have the same type of characterization factors, normalization factors, and weighting factors with different values, resulting in discrepancy between the life cycle assessment results for the same textile products. The reasons for the differences include the facts that the Simapro and Gabi systems are developed by separate institutions, and that the production scale and technology levels in the developers' regions, and the conversion factors are different.
    The differences between LCA systems and databases of pollutant emission channels and production scale, technology level, economic status, and environmental policies in the region are the main reasons for the different results when different LCA systems for LCA studies of textile products are used. By comprehensively considering the above factors, constructing an LCA system and database of textile products with regional features and a unified benchmark can improve the integrity and accuracy of the evaluation results.
    Fitted garments design based on zero-waste technology
    GUO Peiping, LIANG Yan,
    2023, 31(4):  37-47. 
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    In order to discuss the applicability of zero-waste technology in modern garment industry, zero-waste technology is divided into zero-waste cutting and direct molding according to the design thinking of fit garment. Virtual fitting technology is used to demonstrate the high universality of zero-waste cutting technology, analyze the key modeling points and industrial development potential of different technologies in practical application, and analyze the limitations of zero-waste technology in industrial application combined with brand cases. The emerging direct forming technology expands the dimension of zero-waste fitted garment design and designers can innovate according to the different characteristics of weaving technology and nonwoven technology. Further research on zero-waste technology is in line with the needs of colleges and universities to cultivate composite talents, and enhance the innovation ability of brands and green industrial transformation.
    Research on constraints of sustainable development of Ethiopian textile and apparel industry based on text mining
    TONG Wenliana, b, ZHU Yininga, b, YAN jinjiang, YUAN Chao, DING Xuemeia, b
    2023, 31(4):  48-55. 
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    The textile and apparel industry is not only one of the priority industries of Ethiopia′s manufacturing industry and one of the key areas of China's investment in Africa. Its sustainable development plays an important role in achieving Ethiopian export-oriented economic goals and promoting sustainable overseas investment of China's textile and apparel industry. This paper explores the constraints to the sustainable development of Ethiopian textile and apparel industry through a text-mining approach by interviewing seven senior experts who have invested in or assisted the textile and garment industry in Ethiopia based on the grounded theory. The results show that the sustainable development of Ethiopian textile and apparel industry is mainly constrained by 12 factors such as limited labor force quality, limited supply of raw materials and relatively backward industrial infrastructure. Among them, labor force literacy, standard system and training of workers in enterprises have a significant impact on the sustainable development of the textile and garment industry in Ethiopia, which requires more attention from the government and relevant industry management departments. In addition, this paper gives some countermeasures and suggestions for Ethiopian textile and garment industry to get rid of the development dilemma and promote the sustainable development of the industry from the enterprise, industry and government levels, which can provide reference for Chinese textile enterprises to formulate investment strategies in Ethiopia and the Ethiopian government to carry out sustainable development plans for the textile and apparel industry.
    Spinning research of copolymerized flame-retardant polyester industrial yarns
    JI Hong, SONG Minggen, ZHANG Yue, CHEN Kang, ZHANG Yumei
    2023, 31(4):  56-62. 
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    Polyester industrial yarns are widely used in the fields of safety belts, rubber reinforcement materials, geotextile, and cables due to their excellent dimensional stability, weather resistance, and mechanical properties. However, the flammability of the polyester limits its further application. With excellent flame-retardant durability, the copolymerized flame-retardant polyester is the ideal method for the flame-retardant modification of polyester industrial yarns. In the process of high-temperature melt spinning, how to restrain the thermal degradation of high molecular weight copolyesters and ensure the appropriate liquidity of melt is the key technology to prepare the copolymerized flame-retardant polyester industrial yarns. Based on the rheological behavior of high molecular weight flame-retardant copolyesters during spinning and melting, the corresponding spinning process was designed, the thermal degradation degree of copolyesters during spinning and forming was determined, and the process parameters were optimized. Polyester industrial yarns with good mechanical properties, flame-retardant properties, and durability were prepared. 
    The rheological properties of high molecular weight flame-retardant copolyesters at different temperatures were tested by the rotating rheometer. The spinning processing temperature range was defined according to appropriate melt fluidity and stable spinning pressure requirements. At the same time, the thermal degradation of copolyesters was quantified at different spinning temperatures to optimize the melt-spinning process. Then, the thermal drawing processes such as temperature and ratio were designed to improve the mechanical properties of the fibers. The mechanical and flame-retardant properties of the industrial yarns were measured by means of tensile and combustion tests. In addition, X-ray diffraction and sonic orientation equipment were used to analyze and test the crystal and orientation of the fibers. It is found that compared with pure PET, the viscosity of copolyesters melt is lower and the temperature sensitivity is more obvious. When the temperature is between 275 °C and 285 ℃, the melt viscosity is similar to that of pure PET spinning temperature. The pressure fluctuation of the spinning pack in this temperature range is small, which is conducive to avoiding excessive adjustment of spinning parameters in the production process. The process was further optimized by choosing a lower spinning temperature (about 285 ℃). The melt viscosity had little influence on spinning pressure and the thermal degradation degree was low (the viscosity dropped to 11.5%). Finally, by multistage hot drawing process, the breaking strength of the flame-retardant industrial yarns prepared by the primary fiber can reach 6.75 cN/dtex, the limit oxygen index (LOI) can reach 31% and the flame-retardant durability is outstanding, which meets the requirements of flame-retardant and mechanical properties of flame-retardant polyester industrial yarns. The results of microstructure analysis show that the copolymerization unit reduces the number of pure polyester chain segments and results in a short length of near-end pure polyester chain segments, which makes it difficult to embed in the lattice and further leads to the decrease of crystallinity and the low orientation of the amorphous chain segment, and the decline of mechanical properties of flame retardant fibers.
    Based on the rheological properties and degradation behavior of high molecular weight flame-retardant copolyesters, the key technical factors of processing and molding were studied. The melt spinning process was designed, the drawing parameters were optimized, and the relationship between structural characteristics and mechanical properties of the prepared flame-retardant copolyesters was analyzed. On this basis, the flame-retardant polyester industrial yarns with good mechanical properties and excellent flame-retardant properties and outstanding flame-retardant durability were prepared, which greatly expanded the application of polyester industrial yarns and had certain guiding significance for the development and application of flame-retardant polyester industrial yarns.
    Preparation and conductive properties of flexible sensors based on silk fibroin/MXene composite nanofiber membranes
    WANG Yina, DING Xinboa, LIU Taoa, b, QIU Qiaohuaa, WANG Yanminga
    2023, 31(4):  63-73. 
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    Flexible sensors have the characteristics of well flexibility, ductility, lightness and portability, can be bent or even folded, can adapt to the measurement of physiological signals of complex surfaces, and have a broad market in medical care, motion monitoring, robot human-computer interface, etc. However, there are still many problems to be solved in the development of flexible sensors. During fabrication of high-performance sensors, complex and costly manufacturing processes are often involved, such as 3D electronic printing, metal plasma deposition, silicon based etching and other technologies. It is difficult to achieve large-scale, low-cost, high-performance flexible sensor preparation. Therefore, it is still an urgent problem to develop flexible stress sensors with light weight, high reliability, high sensitivity, fast response, low hysteresis and good biocompatibility to adapt to different applications. MXene, as a new two-dimensional nano material, has excellent conductivity, good mechanical properties and high specific surface area. At present, MXene materials are mostly used in energy storage, catalysis, electromagnetic materials and other fields, and there is less research work in the field of flexible sensors. Therefore, studying the application of new material MXene in the field of flexible sensors and exploring its sensing mechanism will not only help broaden the application scope of MXene material, but also further develop the application of wearable electronic devices.
    In order to obtain a flexible strain sensor with a large strain sensing range and high sensitivity, SF with excellent mechanical properties and good biocompatibility is used as the matrix. MXene material is obtained by etching Ti3AlC2 with HF as the additive material. The nanofiber composite membrane with high porosity, large specific surface area and high permeability is obtained by electrospinning after blending SF and MXene, and its structure and properties are analyzed. It is found that the flexible sensor prepared by this method not only has good mechanical and physical properties such as light weight, high stability, and good durability, but also has good sensing properties such as high conductivity, high sensitivity, and fast response speed, which can maintain the initial resistance after 6000 bending cycles.
    MXene shows great application prospects in the field of flexible sensors. As a thin, portable and highly sensitive flexible sensor, SF/MXene sensor is convenient for people to monitor health, sports and other information anytime and anywhere, which is conducive to timely discovery, prevention or rehabilitation of diseases, and has good application prospects in medical care, sports monitoring and other fields.
    Preparation of wool keratin and polyvinyl alcohol composite fiber membrane and the exploration as surgical-mask filtration materials
    CHENG Wei, ZHANG Jing, XU Chengshu, REN Yan
    2023, 31(4):  74-83. 
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    Air is an important element of human living environment,and air quality has draw more and more attention. While China's industry is developing rapidly, air pollution problems are also intensifying. Tiny particles in the air have a great impact on human health, and wearing a mask is a convenient and effective solution. The air filtration material in the mask can filter most harmful substances in the air. At present, common air filtration materials are mainly composed of ultrafine glass fiber materials and meltblown electret nonwoven materials. The glass fiber is brittleness and easy falling off and the characteristics restrict its wide application. The meltblown electret nonwoven material is greatly affected by the environment, which makes its filtration efficiency unstable. Electrospun nanofiber membrane has the advantages of controllable fiber morphology and diameter, large specific surface area, high porosity and narrow pore size distribution.These properties indicated electrospun nanofibers possess excellent performance in PM2.5 particles filtration. In addition, China is rich in wool resources, and a large number of waste wool is produced every year. The main constituent of wool is keratin, which has excellent biodegradability, high permeability and good biocompatibility. Adding keratin to the electrospun nanofiber membrane can improve fiberous membranes’ performance, and make good use of waste wool resources.
    In the present study, the composite fiberous membranes consisted of wool keratin and polyvinyl alcohol (PVA) are prepared by electrospinning technology and applied to the filter element material of medical masks. First, keratin is extracted from wool fibers by acid-base method, and centrifuged to obtain keratin precipitates. Keratin is then added to the prepared PVA solution and mixed well. The mixed solution is prepared into keratin/PVA nanofiber membranes by electrospinning technology. There are different concentrations of Keratin and PVA. Both the physical and chemical properties of fiberous membranes with different concentrations were analyzed by scanning electron microscopy,Fourier transform infrared spectroscopy, dust filtration and other tests. The results of fiberous morphology indicates that when the concentration of keratin is constant, the diameter of the prepared fiber is increase with increasing the mass fraction of PVA solution. When the mass fraction of PVA solution is constant, the higher the concentration of keratin, the smaller the diameter of the prepared nanofiber. Infrared spectroscopy test shows that wool keratin and PVA are stably combined by hydrogen bonds. Contact angle test shows that adding keratin can significantly improve the hydrophilicity of filter element material. The air filtration efficiency test shows that when the concentration of PVA solution is 6% and the ratio of keratin to PVA is 30:70, the filtration efficiency is the highest, reaching to 97.17%.
    This fiber membranes prepared by electrospinning has good filtration performance. Keratin has the advantages of excellent biodegradability, high permeability and good biocompatibility. The addition of keratin/PVA nanofiber membrane is conducive to improving the filtration efficiency of medical masks. Keratin/PVA nanofiber membrane has broad application prospects in air filter materials. However, electrospinning fiber membrane still has problems such as long preparation time and low yield at present. Therefore, in future research, the preparation process should be optimized to make the electrospinning fiber membrane output steady and efficiently. And the influence of different structures of fiber membrane should be explored to further expand application field of electrospinning fiber membrane.
    Preparation and application of pBT/PVDF piezoelectric films
    HONG Yinga, WU Xiaqiong, WU Minghuab, WANG Shiwena
    2023, 31(4):  84-92. 
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    With the improvement of people's living standards and quality of life, emerging industries and multidisciplinary fields such as the Internet of Things, big data and artificial intelligence are developing rapidly. Intelligent wearable devices begin to flood into the public life and get rapid development, and the demand for flexible and durable power is also increasing. As electronic devices consume less and less power, it is possible to convert environmental energy such as solar, thermal and mechanical energy into weak electricity to drive electronic devices. Therefore, piezoelectric nanogenerators have been widely studied as a power source for wearable electronic devices due to their advantages of large energy output, long service life, convenient manufacture and relatively stable output. At the same time, piezoelectric nanogenerators also have good flexibility and mechanical stability, which makes it possible for the development of fully flexible self-driven modern electronic equipment. The PVDF has excellent piezoelectric properties, the film made of PVDF is soft, light and deformable, and can be made into sensors of any shape and size. It can be closely combined with wearable products to realize the intellectualization of wearable products. PVDF-based piezoelectric nanogenerators have a promising development prospect in the field of wearable products. However, the low electromechanical coupling coefficient and piezoelectric coefficient d33 limit the application of piezoelectric polymers. In order to overcome the shortcomings, inorganic piezoelectric BT nanoparticles with high piezoelectric coefficient were blended with flexible PVDF, so that the BT nanoparticles were dispersed in the PVDF matrix. The piezoelectric properties of the composites are improved to some extent while the advantages of flexibility, light weight and easy processing are retained. However, the poor dispersion of BT nanoparticles in the PVDF matrix limits the piezoelectric properties of the composites. In order to solve the problem of uneven dispersion of BT nanoparticles in the PVDF matrix, the BT nanoparticles were modified with polydopamine to prepare polydopamine-modified BT nanoparticles (pBT). And pBT/PVDF composite piezoelectric films were prepared by electrospinning and the composite spinning solution of PVDF and pBT nanoparticles. The dispersion of BT nanoparticles in the PVDF matrix was improved, and the high voltage property of BT nanoparticles was fully brought into play. The results showed that the pBT nanoparticles with core-shell structure could be evenly dispersed in the PVDF matrix, and the agglomeration was significantly reduced. When the content of pBT nanoparticles was 3, the d33 of pBT/PVDF composite piezoelectric film increased from 13±3 pc/N before modification to 20±3 pc/N. The output voltage of pBT/PVDF piezoelectric nanogenerator could reach 1.2 V. This paper provides a simple modified method to successfully solve the problem of uneven dispersion of the BT nanoparticles in the PVDF matrix, and to significantly improve the output voltage of the pBT/PVDF piezoelectric nanogenerator. The pBT/PVDF piezoelectric nanogenerator has great application prospects in intelligent textiles, wearable electronic devices and other fields.
    Preparation of the cellulose/MXene composite aerogel and its adsorption mechanism for methylene blue
    ZHOU Huimin, DING Xinbo, LIU Tao, QIU Qiaohua
    2023, 31(4):  93-102. 
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    At present, the discharge of wastewater from the traditional textile industry is increasing, and the discharge of dye wastewater accounts for about 35% of the total industrial wastewater, which seriously affects human health and ecological environment. Therefore, it is of great significance for environmental protection to develop efficient and convenient methods to remove organic dyes from water. As a kind of sustainable renewable energy, cellulose in biological matrix materials can not only reduce environmental pollution, but also has been widely used in the treatment of printing and dyeing wastewater due to its excellent physical and chemical properties. However, the inherent adsorption capacity of pure cellulose is quite low. In order to promote the adsorption effect of cellulose materials on dyes, fixing MXene on the 3D frame of cellulose aerogels not only helps to dope nano materials, but also can enhance the adsorption capacity of cellulose aerogels. As a new two-dimensional nanomaterial, MXene has a unique layered structure and terminal hydroxyl (−OH), oxygen (−O), fluorine (−F) and other functional groups, which makes it have good hydrophilicity and rich active sites. According to the needs of printing and dyeing wastewater treatment, MXene has been widely used in dopants of various substrates, showing the promising application prospect of MXene in the treatment of environmental dye wastewater.
    Therefore, in order to obtain better dye adsorption results, the composite aerogel prepared by freeze-drying MXene doped into the traditional pure cellulose framework has the advantages of high porosity and high adsorption rate. The preparation of MXene and the comparison of adsorption effects of the composite aerogel and the pure gas gel on methylene blue dye were studied. The micro morphology and chemical structure of MXene as well as the adsorption performance of the composite aerogel were characterized by analysis and testing. The results showed that MXene materials had been successfully prepared, and the adsorption effect of the MXene-doped composite aerogel was 60% higher than that of the pure cellulose aerogel gel. Then, the adsorption effects of methylene blue on different mass adsorbents, initial concentrations of the methylene blue solution and ambient temperatures were compared. The study showed that when the mass of the adsorbent was 100 mg, the initial concentration was 50 mg·L-1, and the ambient temperature was 20 ℃, the composite aerogel had the best adsorption effect on the methylene blue solution, with a removal rate of 80%, making most of the methylene blue adsorbed.
    In this paper, the adsorption potential of MXene was fully developed, and the composite materials were prepared by blending and doping, which effectively absorbed a certain volume and concentration of the dye solution. The research findings of composite or modification of new nanomaterials on traditional biological substrates will provide inspiration and suggestions for the treatment of printing and dyeing wastewater.
    Effects of silane coupling agent modification on the mechanical properties of basalt fiber-reinforced vinyl ester resin composites
    LUO Xuanyao, WEI Yuehai, MA Leilei, TIAN Wei, ZHU Chengyan
    2023, 31(4):  103-110. 
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    Fiber-reinforced resin matrix composites have developed rapidly in recent years. Their overall properties are not only related to the properties of resins and fibers, but also closely related to the interface between resins and fibers. When the composite is loaded, the interface will transfer the stress of the matrix to the reinforced fiber in the form of shear stress. Therefore, fiber-reinforced composites require excellent interface phases so that the matrix can effectively transfer load to the fiber. The appropriate modification method can improve the interface and mechanical properties of the composites. The operation steps of silane coupling agent modification are relatively simple, and the fiber will not be damaged during modification. There are hydroxyl groups on the surface of the basalt fiber, so the use of silane coupling agents can build a bridge between the basalt fiber and resin matrix.
    In order to improve the interfacial bonding property of the basalt fiber and vinyl ester resin, silane coupling agents KH550, KH560 and A171 with a respective mass fraction of 0.5%, 1.0%, 1.5% and 2% were used to modify the basalt fiber, and basalt fiber-reinforced vinyl ester resin composites were prepared by the molding process. The scanning electron microscope, infrared spectrometer and universal testing machine were used to test and analyze the surface micro morphology and chemical structure of basalt fibers and the mechanical properties of composite materials, and to explore the modification mechanism of silane coupling agents with different kinds and concentrations, providing theoretical support for their application in engineering practice. The research results show that after the basalt fiber is modified by the silane coupling agent, the silane coupling agent is grafted on the surface of the basalt fiber, which makes the surface rough and increases the surface chemical activity of the fiber, forming an interface layer to transmit stress, and improving the bending strength and impact strength of basalt fiber-reinforced composites. The absolute value of Pearson correlation coefficient R of bending strength and impact strength fitting curves is approximately 1 after the basalt fiber is modified by silane coupling agents with different kinds and different mass fractions, which indicates that the fitting curve is approximately a quadratic equation with one variable, showing a trend of first increasing and then decreasing. The basalt fiber modified by silane coupling agents KH550, KH560 and A171 with a mass fraction of 1% has the best interface bonding with vinyl ester resin, and the flexural strength of the modified basalt fiber-reinforced composite is respectively 16.71%, 14.96% and 13.59% higher than that of the unmodified composite; the impact strength increases by 10.13%, 8.84% and 7.41%. With the experimental results taken into consideration comprehensively, the modification effect of KH550 is the largest, followed by that of KH560, and that of A171 is the smallest.
    In this paper, basalt fibers were modified by silane coupling agents KH550, KH560, and A171 with different mass fractions, and the mechanical properties of their reinforced vinyl ester resin composites were analyzed to study the modification effect of silane coupling agents, and the best type and concentration of silane coupling agents were given, playing a certain guiding role in improving the interfacial bonding properties and mechanical properties of composites.
    Preparation, anisotropic heat transfer and elastic deformation of CF/EP composite plates
    JIANG Jinyu a, b, HE Haoyua, HUANG Leia, WU Zhenpenga, DONG Bowena,
    2023, 31(4):  111-118. 
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    In this paper, carbon fiber reinforced epoxy (CF/EP) composite plates for solar arrays were prepared by molding technology, and the macrostructure and microstructure were characterized by optical and scanning electron microscopy. Based on the above characterization results, a three-dimensional geometric model of CF/EP composite plates was constructed and substituted into the subsequent heat transfer and mechanical numerical model for solution. Firstly, based on the multi-physics field coupling calculation software Comsol, the solid heat transfer numerical model of CF/EP composite plates was established to reveal the mechanism of the influence of carbon fibers′ anisotropy on the heat transfer behavior of the composite plates. Through the curve coordinate system conversion algorithm, the relevant geometric model was converted from the three-dimensional Cartesian coordinate system to a curve coordinate system which is more suitable to describe the axial/longitudinal properties of carbon fibers, and can simplify the calculation. The actual heat transfer behavior of CF/EP was simulated with the boundary conditions such as surficial heat source region and surface air convection area. A constant temperature area and a thermal insulation area were set to reduce the difficulty of the solution. The above mathematical models were further solved based on the finite element method. Based on the calculated temperature field diagram and the heat vector in CF/EP composite plates, it is found that heat was transmitted preferentially along the axial direction of carbon fibers during heating. However, the thermal conductivity of the fiber in the radial direction was low. The mechanism of carbon fibers in improving the thermal conductivity of CF/EP composite plates was thus revealed. 
    Further, the CF/EP three-dimensional geometric model was substituted into the mechanical numerical model, and the axial stress-strain model of CF/EP was established based on the finite element calculation software Abaqus. The research shows that, in the uniaxial tensile test along the fiber axis, the stress concentration occurs preferentially at the bonding interface between the carbon fiber and the resin matrix. The stress-strain relationship of CF/EP composite plates is calculated. It is found that during the initial elastic deformation of CF/EP, the carbon fibers arranged along the direction parallel to the stress bear most of the stress. When the strain rate rises to 1%, the internal stress of the axial carbon fibers can reach 54.1MPa at most. It can be seen that the strengthening effect of carbon fiber reinforcement on the mechanical properties also presents obvious anisotropy. 
    In conclusion, based on the three-dimensional geometric model of the actual CF/EP composite plate, the anisotropic heat transfer and elastic deformation behavior model of CF/EP was constructed by combining the physical properties of carbon fibers and epoxy resins. The finite element method was used to solve the above models. The strengthening mechanism of carbon fibers on the heat transfer and mechanical properties of the epoxy resin matrix was revealed. This work can serve as a positive theoretical significance for the subsequent production, preparation and performance optimization of high-performance CF/EP composites and other carbon fiber-reinforced composites.
    Progress on the regulation of crystallization behavior and phase transition mechanism of poly(hydroxybutyrate-co-hydroxyvalerate)
    MIAO Lulu, DONG Zhengmei, XIE Guoyan, LÜ Shafeng, ZHU Fanqiang, ZOU Zhuanyong
    2023, 31(4):  119-129. 
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    Poly(3-hydroxybutyrate-co-3-hydroxyvalerate)(PHBV), is a kind of biomaterial produced by fermentation engineering technology using starch as the raw material. It is not only environmentally friendly, easy to biodegrade, and pollution-free, but also exhibits similar properties to polypropylene. It holds great promise for the development and application of new bio-based fibers. However, PHBV itself also has problems of high brittleness, poor toughness, and poor thermal stability, restricting its large-scale application in textile and other fields. Considering that the physical and mechanical properties of polymers are closely related to the crystalline condensed structure, this paper therefore introduces the crystal structure and properties of PHBV copolymers, summarizes the methods for regulating the crystallisation behaviour of PHBV, concludes the existing studies on the crystalline phase transition mechanism of PHBV copolymers, and provides an outlook on the application prospects of PHBV materials. 
    The copolymerization units of PHBV are 3-hydroxybutyric acid (HB) and 3-hydroxyvalerate acid (HV), both of which belong to the same orthogonal crystal system. The common methods for regulating the crystallization behavior of PHBV include chemical modification, physical blending modification, external force field induced crystallization, heat treatment regulation and thermal stress stretching. Chemical modifications include block copolymerization modification, graft copolymerization modification, crosslinking modification, end group chain extension and long chain branching, etc., which can increase the main chain of the PHBV polymer or construct the body structure to improve the mechanical properties of the material. Physical blending modification usually blends PHBV with nanoparticles, plasticizers, and other polymers to increase the nucleation rate by heterogeneous nucleation to improve the tenacity of the material. During the processing, PHBV is subjected to external force to induce the orientation of the polymer molecular chain, which may be accompanied by the phase transition of the polycrystalline polymer, thus affecting the crystal structure and crystallization kinetics of the polymer. Heat treatment is conducive to the generation of thermodynamically stable crystals to improve the brittleness of materials. Thermal stress stretching promotes the formation of βchain conformation and increases the strength of the material.
    The β-form of PHB in PHBV is a metastable crystal form formed by stretching, with good elongation of the molecular chain and significantly improved mechanical properties of the material. The thermodynamic stability of α and β crystal forms of PHBV is different, and the two will change under the action of external force strong enough. One-step or two-step stretching is usually used to promote the transformation of α-form to β-form to improve the mechanical properties of materials.
    The regulation of PHBV crystallization behavior and the study of phase transition mechanism can improve the toughness, thermal stability and tensile properties of PHBV materials to some extent. And a more convenient and easy-to-operate way to regulate the crystal form and crystalline structure of PHBV can be explored in the future by considering the synergistic effect between various regulation methods, so as to meet the needs of PHBV industrialization production and continuously promote the expansion of PHBV application market.
    Neural backstepping fractional order fast terminal sliding mode control of warp tension
    FU Maowen, SHEN Danfeng, ZHAO Gang, SHANG Guofei , BAI Shunwei
    2023, 31(4):  130-138. 
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    With the progress of current computer technology and modern control methods and theories, the textile field has been fully developed in the past decade, gradually realizing intelligence and advancement. However, the domestic textile industry still has the problems of low competitiveness and high labor costs. Looms in textile machinery need  to be closely integrated with electromechanical equipment. High-quality looms apply more advanced algorithms to looms on the basis of continuous pursuit of higher weaving efficiency and fabric quality, reducing the degree of manual intervention. The performance of the let-off mechanism, a direct tension control mechanism, determines the speed and efficiency of the loom spindle. Studying the let-off system and developing a more efficient control algorithm or structure is an important factor to improve the performance of the loom, which meets the national economic needs and social significance of China.
    In order to enhance the matching degree between the let-off mechanism and weaving requirements of looms, the key control algorithm of the let-off mechanism is designed, which is combined with modern control theory to improve the robustness and stability of the control algorithm. This research aims to develop a neural backstepping fractional order fast terminal sliding mode controller (RBF-BCFOFTSMC) to control the warp tension. Firstly, the time-varying mathematical model of the let-off system of the loom was established through dynamic analysis. In order to improve the dynamic response performance of the system and reduce chattering, a new backstepping fractional order fast terminal sliding mode control method was derived. Since there are disturbances such as motor vibration and heald frame motion in the weaving process of the loom, the upper bound of the total disturbance of the system is unknown, so an adaptive law was designed to estimate the upper bound of the external disturbance. The time-varying characteristics of the system make the controller have unmodeled and modeling uncertainties. The neural network parameter adaptive law was designed to approximate the real system state, and the Lyapunov stability was used to prove the rationality of the system. In order to verify the effectiveness of the designed control strategy, it was compared with traditional sliding mode control (SMC) and neural PID (RBFPID) in simulation experiments and actual working conditions. The results show that RBF-FOTSMC not only reduces chattering in warp tension control, but also has high robustness and response performance.
    Through the research, the algorithm design and experiment of the let-off control system have been successfully completed, which has greatly improved the control effect, robustness and stability of the system. However, as the loom let-off system is a complex control system, more research needs to be supplemented in the future from two main points. First, it is necessary to study the influence of heald frame, weft insertion, beating up and other movements on loom tension, and analyze the influencing factors for corresponding tension compensation. Second, the adopted hardware needs to be optimized. If the controller with faster processing speed can be replaced, the high-speed and advanced level of the loom will be improved.
    Design and development of AIRCLAD moisture-absorbing, quick-drying and sunscreen fabrics with cold feeling
    LIANG Xiaoxi a, b, WANG Lijun a, b, c
    2023, 31(4):  139-147. 
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    In order to improve the moisture absorption, quick drying and sun protection performance of the fabric in summer, and make it cool, AIRCLAD modified polyester yarn was used as the raw material, and AIRCLAD modified polyester fiber, a fiber made of ceramics and jadeite, was used to obtain nano particles via nanotechnology, and then the polyester spinning melt was obtained. The tubular hollow fiber has moisture absorption, quick drying, cold feeling and sun protection function. Three kinds of fabric structures, namely, flat stitch fabric, double rib fabric and double bead fabric, were woven on a knitting machine, and nine kinds of samples were prepared by using three different knitting densities. Meanwhile, three kinds of knitted fabrics with different tissues were woven with common polyester yarns as the control group. The PW-5P-AT2 automatic water absorption speed tester, ultraviolet spectrometer and other instruments were used to test their moisture absorption, drying speed, cool sense on contact and sun protection performance. The Spearman rank correlation analysis and multiple linear regression were used to analyze the relationship between fabric structure parameters and performance, and the optimal fabric parameters were selected by comprehensive fuzzy evaluation.
    The results show that knitted fabrics made of AIRCLAD modified polyester yarns have good moisture absorption, quick drying, cold feeling and sun protection properties; common polyester fabrics have sunscreen properties, but they do not have moisture absorption, quick drying and cool sense on contact. From the analysis of fabric sunscreen performance, the regression equation of sunscreen performance and thickness is Y=415.374X+63.680, and the regression equation of T (UVA) and thickness is Y=-0.394X+2.250. The thickness is significantly positively correlated with the sunscreen performance, that is, the tighter and thicker the fabric is, the more difficult it is for ultraviolet rays to penetrate. Specifically, the double bead weave fabric is thicker than the other two weave fabrics, so its UV resistance is the best. From the analysis of cool sense on contact of the fabric, the fabric structure is significantly related to the sense on contact, and the sense on contact of weft plain stitch is better than that of double bead weave and double rib weave. The tighter the fabric is, the larger the contact surface between the fabric and the skin is, so the better the sense on contact of the fabric is. From the analysis of fabric moisture absorption and drying speed, the regression equation of moisture permeability and thickness is Y=-364.108X+1056.701, and the regression equation of evaporation rate and thickness and density is Y=-0.241X-0.002Z+0.922. The moisture permeability and evaporation rate are negatively related to the thickness. The thinner the fabric is, the smaller the density is, and the higher the porosity is, which is conducive to the passage of water vapor. The regression equation among longitudinal wicking height, transverse density, and longitudinal density is Y=-0.241X-0.002Z+0.922, and that between transverse wicking height and transverse density is Y=-1.149X+232.731. There is a negative correlation between longitudinal and transverse wicking height and fabric density. The regression equation between water absorption and thickness is Y=66.248X+206.906. The water absorption is positively related to the thickness. The thicker and tighter the fabric, the better the water absorption. Under the experimental conditions, it is concluded that the best performance of moisture absorption fast drying cold feeling sunscreen fabric is 7 #, the structural parameters are horizontal density, vertical density of 80 pieces/5cm, 123 pieces/5cm, surface density of 209.7 g/cm2, and the fabric texture is double bead texture.
    Effect of the stitching structure on seam performance of coated alumina fabrics
    HUANG Cong, ZHAO Xingzu, ZHANG He, GUAN Sijia, LIU Keshuai, LIU Yang
    2023, 31(4):  148-154. 
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    Facing the needs of planetary exploration and landing, flexible inflatable vehicle technology has become one of the most potential key technologies. Flexible inflatable aircraft require high temperature resistance and large size, and it is usually stitched by high-performance and high-temperature resistant fiber fabrics to form complex curved surface structures. Alumina fibers, with the characteristics of high modulus and good high temperature resistance, have become one of the most potential materials for thermal protection materials of flexible inflatable aircraft. After the alumina fibers are made into a fabric, the bending resistance is poor, and the surface coating treatment makes the fabric have better flexibility, gas barrier and heat insulation properties and mechanical properties. However, there is a lack of knowledge about the seaming method, seam performance, and seam failure mechanism of alumina-coated fabrics.
    In order to explore the seaming performance and seam efficiency of alumina-coated fabrics, alumina-coated fabrics were sewn with alumina sewing threads. The effects of the stitch structure on the mechanical properties of the seam were explored by adjusting the number of strands, stripes, spacing and needle spacing of the sewing threads, and the changing rule of the seam efficiency was analyzed. The results show that the tensile breaking strengths of the alumina fabric before and after coating finishing are 586.5 and 638.7 N/cm, respectively. The coating improves the mechanical properties of the alumina-coated fabric, and the mechanical failure of the alumina-coated fabric shows brittle fracture. When the number of stitching strands is one and two, the seam strength of coated alumina fabric is 37.1 and 47.0 N/cm, respectively, and the seam strength of double strand stitching is 27% higher than that of the single strand. Double strand sewing can increase non-simultaneity of yarn breakage at seams. When the sewing spacing is 5 and 10mm, the difference in seam strength is small. As the sewing pitch gradually increases to 20mm, the seam strength improves significantly and the breaking strain of the fabric gradually decreases. When the number of sewing lines is 1, 2, and 3, the seam strengths of the fabrics are 35.0, 47.0, and 99.5 N/cm, respectively. With the increase of the number of seams lines, the seam strength of the alumina-coated fabrics increases significantly, indicating that the number of seams has great influence on the seam strength. With the increase in the number of sewing lines, the failure mode of the seam changes from collapse failure to slow oscillation failure, the load-bearing yarns increase, and the non-simultaneity of yarn breakage increases significantly. The seam strengths of the fabrics are 73.3, 47.0, and 26.6 N/cm when the stitching lengths of the thread are 3, 5, and 10 mm, respectively. The smaller the stitching length, the greater the stitching density, and the greater the resistance to slipping is between yarns during stretching. The seam efficiency of coated alumina fabric ranges from 4.2% to 15.6%. Based on the above results, it can be seen that in order to optimize the seam strength of coated alumina fabrics, double strands, multiple threads, and large spacing should be selected, and the stitching spacing should be reduced as many as possible within the allowable range of working conditions and production efficiency.
    Fabric defect detection based on improved YOLOv5 model
    GAO Min, ZOU Yanglin, CAO Xinwang
    2023, 31(4):  155-163. 
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    China is the largest producer and consumer of textiles in the world, and the textile industry is a traditional industry in China. The industry affects people's life and employment issues, and plays an important role in the national economy. The widely used textile products are indispensable in people's lives and the quality of them not only affects people's lives, but the development of textile enterprises. Therefore, in the production process of textile products, the quality inspection is a very important link in the production chain.
    For a long time, due to the limitations of the cloth making process and production equipment, the surface of the cloth is often stained, and there are broken figures and other defects. Traditional detection methods have many disadvantages. On the one hand, the detection efficiency of cloth inspection workers is relatively low, and a cloth inspector can find 200 defects per hour at most. Because some defects are small and difficult to be found, the defect detection rate is only 70%, and the concentration lasts half an hour at most. If this time range is exceeded, visual fatigue will occur. As workers rely on subjective experience when inspecting the quality of cloth, and long-term work will cause visual fatigue, missed inspections and wrong inspections will inevitably occur, leading to low defect detection efficiency of cloth. On the other hand, because the cloth inspection work requires a lot of eyesight and energy of the workers, it is difficult to recruit workers and the cost is high. If there is a missed inspection in the cloth inspection process and the defects are not picked out, the products produced will be classified as defective products even if the cloth has passed the follow-up cumbersome processing, which will cause certain economic losses to the enterprise.
    With the development of artificial intelligence, all walks of life are moving towards intelligent production. Computer vision has replaced humans eyes and brains to observe the world through cameras and computers, automatically analyzing the collected videos or pictures. In the field of target detection, with the rise of deep learning, the performance of target detection has also been greatly improved.
    To address such problems as unsatisfactory detection effects for small targets, we conducted research on the surface defects of cloth by combining with the deep learning network, proposing an algorithm model based on deep learning for defect detection and classification. This model can improve the detection accuracy and reduce the missed detection rate of small targets, which meets the needs of actual production for detection of cloth defects, and has certain practical significance on the intelligent development of the weaving industry.
    Biological corrosion characteristics of molds on cotton fabrics
    TAO Yafei, REN Zehua, WANG Mengdi, ZHU Bo, LIU Jianli
    2023, 31(4):  164-172. 
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    The main component of the cotton fiber is cellulose. Cellulose is a macromolecular polysaccharide composed of small molecules of glucose through β-1,4 glycosidic bonds. In addition, it also includes soluble sugar, wax, protein, fat, ash, and other companion organisms. It is rich in carbon sources and provides an energy source for the growth and reproduction of microorganisms. Therefore, cotton clothes are prone to mildew when stored. During the growth process, molds secrete organic acids and a series of extracellular enzymes, creating a suitable growth environment for themselves. These secretions will cause the bond between cellulose macromolecules to break, and then form small glucose molecules under the synergistic effect of cellulose series enzymes, which become the nutrients of molds, so that molds can grow and colonize rapidly on cotton fabrics and form mold spots on the surface of fabrics. At the same time, the organic acids and pigments secreted during the growth of molds will cause the fading of colored fabrics and the decrease of mechanical properties of fabrics, thus shortening the service life of textiles. Therefore, it is necessary to identify the types of molds on textiles and study the biological corrosion characteristics of molds on cotton fabrics in order to better protect textiles and prolong their service life. 
    In order to study the corrosion characteristics of molds on cotton fabrics, mold microorganisms were isolated and purified from real moldy cotton T-shirts, shirts, and towels, and streaked and purified on the PDA medium suitable for mold growth to obtain a single strain. According to morphology and ITS sequence analysis, the five isolated and purified molds were identified as Aspergillus niger, Aspergillus terreus, Penicillium citrinum, Cladosporium cladosporioides, and Aspergillus versicolor. The purified mold microorganisms were made into spore suspension and inoculated onto pure cotton bleached fabrics. The mold biocorrosion experiment was carried out on the enriched nutrient medium. After the experimental period, the microstructure, molecular structure and crystallinity of cotton fabrics before and after corrosion were characterized by scanning electron microscopy (SEM), Fourier transform infrared (FT-IR), and X-ray diffraction (XRD). The SEM results showed that the five molds grew between the fibers and caused different degrees of mechanical damage to the fiber surface. Specifically, the inoculation of Penicillium citrinum and Aspergillus terreus caused serious corrosion on the fiber surface, and a large number of longitudinal lines and holes appeared on the fiber surface of the sample, while Aspergillus niger caused less damage to the fiber. Fourier transform infrared spectroscopy showed that the 1,4-glycosidic bond of the cotton fiber inoculated with mold was broken, which caused a decrease in cellulose crystallinity, and the X-ray diffraction results also verified this. The crystallinity of cotton cellulose inoculated with the five kinds of molds decreased, among which Penicillium citrinum and Aspergillus terreus had a great influence on the crystallinity of cotton fibers, which decreased the crystallinity of cotton fibers from 86.37 % to 81.65 % and 82.75 %, respectively. The experiment provides support for elucidating the mechanism of biological corrosion of cotton fabrics by molds and inhibiting cotton fabrics.
    Hot-pressing process and structure of laminated composite fabrics with EVA hot-melt adhesive films
    HU Manyu, JIN Xiaoke, TIAN Wei, HUANG Kunzhen, SHAO Lingda, ZHU Chengyan,
    2023, 31(4):  173-182. 
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    As an environmentally friendly decorative material, wall cloth is well in line with human's aesthetic and environmental protection requirements for its advantages of seamlessness, heat preservation and sound absorption. However, at present, the research and development scope of the foreign wall cloth industry is wide, while the research and development of wall cloth in China started late, with most related studies staying at the decorative level, and few on the functions. Moreover, the domestic research and development of wall cloth focus on single-layer wall cloth, which can not fully meet the requirements of multi-functional wall cloth. Composite wall cloth, usually made of woven fabric and non-woven fabric by hot pressing with binder, is a laminated composite fabric. It can not only maintain the original functional characteristics of each layer of the fabric, but also can be designed to increase other functions, showing the superposition of functions as a whole. The development of multi-functional textile fibers and the research and development of wall cloth preparation technology have promoted the growth of the composite wall cloth market.
    To address the lack of functional wall cloth and undiversified types in the domestic market, we mainly focus on the hot-pressing process of preparing composite fabrics for wall cloth in this paper. We  selected the ethylene vinyl acetate (EVA) hot-melt adhesive film with a low melting point, wide bonding range and aging resistance as the adhesive. Firstly, we carried out the thermal analysis. On this basis, with the temperature, pressure and time of the hot-pressing process as the main influencing factors of the test, we designed the L25(53) orthogonal test to study the effect of the hot-pressing process on the bonding structure and properties of  composite fabrics with EVA hot-melt adhesive films. In this paper, we analyzed the cross-section bonding structure of the composite fabric by thickness and cross-section electron microscopy, including the morphological changes of the hot-melt adhesive film, the degree of penetration, the binding effect with yarns and fibers, etc. We also analyzed the reasons for the influence of the hot-pressing process on the properties of composite fabrics from the microstructure. It is found that for composite fabrics with EVA hot-melt adhesive films, pressure has the greatest influence on the thickness and air permeability, and temperature has the greatest influence on the peel strength. At the same time, pressure has a significant effect on the thickness, a highly significant effect on the air permeability, and temperature has a significant effect on the peel strength. With the increase of hot-pressing temperature, pressure and time, the thickness shows a downward trend. With the increase of temperature and time, the permeability and peeling strength increase first and then decrease. With the increase of pressure, the permeability and peeling strength show a downward trend. The optimum parameters for the hot-pressing process are 100 °C, 0.5MPa and 90 s. The hot-melt adhesive of the composite fabric prepared under this condition is closely combined with the yarn and fiber of the two layers of the fabric. The adhesive layer will form gaps and micro-pores. The thickness is 0.65 mm, the air permeability can reach 156.72 mm/s, and the peel strength can reach 32.55 N.
    The relationship between the hot-pressing process conditions and the bonding structure and properties of composite fabrics with EVA hot-melt adhesive films  can lay a research foundation for the preparation of composite fabrics. Through the selection and design of raw materials, new functional wall cloth products with such functions as anti-fouling property, moisture permeability and flame resistance are prepared to meet human's high-quality requirements for indoor environmental conditions. The research results can provide a process reference for the preparation of composite fabrics by EVA hot-melt adhesive films, and provide a basis for the preparation of functional composite wall fabrics.
    Fabrication and Wearable Application of Fabric-Based Triboelectric Pressure Sensor
    FANG Xiangmin, QU Lijun, TIAN Mingwei
    2023, 31(4):  183-191. 
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    In recent years, with the continuous development of 5G technology, smart wearable devices have attracted more and more attention. Human body movement can produce a large amount of mechanical energy, in addition to the consumption of life-sustaining activities, another part of the consumption because of the work done to the outside world. Converting human mechanical energy into electrical energy is a solution to the inconvenience caused by external power supply of intelligent wearable equipment. Friction nanogenerators (Teng) can harvest mechanical energy from the environment and convert it into electricity, but the original TENG was not wearable due to limitations in materials and manufacturing processes. The combination of textiles and TENG is an important solution for wearable self-powered electronics, with the advantages of good air permeability, flexibility and ease of integration into smart wearable devices, it has a broad application prospect in the new generation of wearable electronic products.
    The textile-based TENG is a new kind of friction nano-generator, which is based on fiber or fabric. It has many advantages, such as good flexibility, good air permeability, wear resistance and comfortable wearing, more conducive to the environment from the human body, the human movement to obtain and collect energy. The current research focuses on the structure design and material selection of Teng, which improves the charge transfer capacity and electrical output capacity of TENG. In order to increase the output of TENG, the effective contact area between friction materials can be increased besides the charge transfer efficiency. Limited by the flexibility and roughness of the friction layer material, TENG's effective friction layer contact area is smaller than the actual contact area, reducing the amount of charge transfer between the two friction layers. Due to the limitations of the materials used in the two-dimensional structure design, there are few studies on increasing the electrical output by increasing the effective contact area of the friction layer. In winter, all kinds of commercial suede fabrics are easy to produce electric spark when they rub with human body and other garments, which proves that the suede fabrics have certain triboelectric properties. And the pile fabric has excellent wear resistance, flexibility, washable, but also has low production cost, continuous production mode, so the winter pile fabric as a substrate, combined with friction nano-generator technology, a new type of flexible friction nano-generator based on textile fabric was constructed, and the main research object was fleece, a self-powered triboelectric pile fabric-based pressure sensor, which can be cleaned, produced continuously and at low cost, and a rocking pile fabric-based TENG are obtained
    The fleece-based TENG can collect the voltage signals of different parts of the human body, and can be used as a self-powered triboelectric pressure sensor in many applications, the application potential of textiles in self-powered intelligent wearable devices is demonstrated. The research results can provide some ideas for the structure design and application scenario of textile-based TENG.
    Performance comparison and application of four antifungal agents for sizing
    LI Ying, FU Ye, YU Yihao, PENG Yikang, GAO Yujie, QI Dongming, WU Jindan
    2023, 31(4):  192-200. 
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    During the storage of fabrics, especially in humid and high-temperature environments, it is easy to produce mildew stains that are difficult to clean. To solve this problem during weaving and short-term storage of fabrics, Penicillium chrysogenum and Aspergillus versicolor were used as the test strains, and four kinds of antifungal agents with active components, including iodopropylene-butyl carbamate (IPBC), zinc pyrithione (ZPT), octyl isothiazolinone (OIT) and silver chloride (AgCl), were selected and mixed with different sizing agents to explore antifungal agents with high application value suitable for the fabric sizing process. The antifungal properties of the four antifungal agents were compared by the minimum bactericidal concentration (MBC) test. The results demonstrated that the MBC value of the antifungal agent to the two molds was the same, the MBC value of AgCl was 0.156 mg/mL, that of IPBC and OIT was 0.313 mg/mL, and that of ZPT was 2.500 mg/mL, indicating that silver had the strongest antifungal ability. After the above four antifungal agents were added to the three common sizing agents of acrylate, polyvinyl alcohol (PVA), and starch, the bacteriostatic zone test, sizing agent viscosity test and zeta potential test indicated that the properties of the sizing agents had a remarkable effect on the diffusion of the antifungal agents. The antibacterial properties of IPBC and OIT in the starch size were significantly enhanced, indicating that the compatibility of the two with the sizes was good. Specifically, the diameters of the inhibition zone of OIT in acrylate size, PVA size and starch size against Penicillium chrysogenum were 21.3 mm, 30.3 mm and 40.0 mm, respectively, while those against Aspergillus versicolor were 23.7 mm, 28.3 mm and 40.0 mm, respectively. Compared with acrylate and PVA size, starch size significantly promoted the bacteriostatic effect of IPBC and OIT but reduced the bacteriostatic ability of ZPT and AgCl. The probable cause is related to Zn2+ and Ag+ forming complexes with starch colloids, which are the active components of the latter two. In terms of price and effect, OIT has the highest application value. Finally, antifungal agents were applied to different fabrics through sizing treatment. The results of SEM analysis, contact angle test and anti-mildew test of fabrics show that the antifungal agents can be uniformly coated onto the surface of fabrics through the padding-sizing treatment, endowing the fabrics with excellent anti-mildew ability. The viscosity and hydrophilicity of the sizing agent have a significant impact on the anti-mildew ability of the fabric after sizing and finishing. Cotton and polyester fabrics show good mildew resistance, which may be related to the high viscosity and good hydrophilicity of starch and PVA size. Polyamide fiber sized with acrylate shows a poor anti-mildew effect, which indicates that several antifungal agents can be combined in the future to achieve a better anti-mildew effect and lower cost. Our study provides guidance for future research on antifungal compounds and engineering scale-up applications.
    Application of nitroxide radical functional polymer coating to resist mussel adhesion
    XIA Yifu, WANG Tao
    2023, 31(4):  201-207. 
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    The Earth's oceans cover a vast area (approximately 71% of the earth's total surface). Marine transport is an important part of international trade, which cannot be ignored for social and economic development. Due to the oceans' complex environment and biodiversity, various fouling organisms are easy to adhere to marine equipment such as ships and oil platforms. For example, mussels and other invertebrates are firmly attached to the surface of ship hulls by secreting biological adhesives. Due to the massive adhesion of fouling organisms, the weight of the hull increases and the surface becomes rougher, which leads to increased energy consumption during operation and causes significant economic losses. In order to prevent further damage, much money is invested every year in the regular cleaning of ship surfaces and the maintenance of marine installations. Therefore, it is essential to develop economical and effective marine antifouling coatings.
    In order to prevent fouling organisms from adhering to underwater surfaces, the application of antifouling coatings is the simplest and most widely used method currently. Nevertheless, conventional antifouling coatings usually kill fouling organisms by releasing toxic materials such as organo-tins and cuprous oxide, which cause irreversible damage to marine ecology. Therefore, the development of efficient and environmentally friendly marine antifouling coatings has become a popular research topic. Polymer brushes are linear polymers with a brush-like structure anchored to a surface at one side. Surface-initiated radical polymerization is a widely used polymerization method that can be grown in-situ on various initiator-modified surfaces, and many researchers are currently using surface-initiated radical polymerization to synthesize polymer brush layers for investigations related to anti-protein adhesion and anti-bacterial applications, with good results, showing that polymer brushes have great potential for application in the field of anti-biofouling. Thus, we synthesized the functional polymer brush coating for mussel adhesion resistance, and used its catalytic effect to oxidize the catechol groups, significantly reducing the adhesion of mussel adhesion proteins. It is found that the PTEMPMA polymer brush coating is grafted on the initiator-modified surface by the SI-Cu0CRP strategy, and the PTEMPOMA polymer brush coating is obtained by oxidation. The surface roughness is characterized after dopamine hydrochloride immersion experiments and real mussel immersion experiments. The polymer brush coating shows the excellent anti-mussel adhesion performance and good stability after immersion.
    Nowadays, with the development of sustainable economy, it has become an inevitable trend to develop economical, efficient and environmentally friendly new types of marine antifouling coatings, especially for the anti-adhesion research of specific species (e.g. mussels and barnacles). The use of nitroxide radical functionalized polymer brush coatings for anti-mussel adhesion meets expectations in terms of both principle and experimental results, and the findings may provide new insights into the development of new marine antifouling coatings.
    Light stability of polyester disperse dye transfer printing fabric and its promotion process
    ZHANG Mei, ZHOU Weibo, ZHANG Shujuan, ZHAO Huijun, WANG Chenglong, ZHENG Jinhuan
    2023, 31(4):  208-216. 
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    Compared with natural leather, leather-like fabric has the advantages of low price and easy development, so it greatly fills in the shortage and high price of natural leather market and has great market potential. However, in the process of using, it was found that when polyester fabric was treated with disperse dyes combined with waterborne polyurethane, the leather-like fabric made of anthraquinone blue dyes in disperse dyes could not meet the requirements of light stability, resulting in poor light stability of the series of colors mainly composed of disperse dyes. Therefore, it is of great significance to develop a kind of polyester fabric with high light stability.
    In order to meet the requirements of high light fastness of polyester outdoor textiles, UV absorber/disperse dye blue 72 was used to print polyester fabrics in one paste. Firstly, the UV absorber with the best light fastness was selected by discussing the sublimation transfer performance, anti-UV effect, light fastness, transfer rate, UPF value and average particle size of the fabric through the types of UV absorbers. Secondly, because UV-326 is difficult to dissolve in PVB solution, it can't be stably dispersed in printing paste, and it is easy for UV-326 to precipitate in color paste, resulting in low utilization rate and inconvenient use, etc. Therefore, by studying the grinding time of UV-326 dispersion, the size and dosage of dispersion medium and the dosage of dispersant on the particle size, dispersion stability, UV-326 transfer rate, dye transfer rate and light stability of printed fabric. Finally, in order to further study the transfer printing process of polyester disperse dyes, one-size transfer printing was carried out at different temperatures and times, and the best process of one-size transfer printing of polyester disperse dyes was determined. Using UV absorber/disperse dye blue 72 in one paste printing can not only obtain good light stability, but also solve the problems of environmental pollution and complicated process when traditional UV absorber is combined with fabric. It is found that UV-326 transfer printing fabric has better UV resistance than other transfer printing fabrics with three UV absorbers, and its light fastness can be improved by 1~2 grades. The optimum process parameters of UV-326 were obtained: the mass fraction of dispersant was 3% of UV-326, the size of zirconia beads was 0.3~0.4 mm, the mass ratio of UV-326 to zirconia beads was 1∶10, and the dispersion time was 18 h; The transfer printing temperature of disperse dye blue 72/UV-326 in one paste is 230 ℃ and the transfer time is 10 s.
    Through the research on the light stability of polyester disperse dye transfer printing fabric and its promotion process, the light stability of polyester fabric can be greatly improved, which provides a research idea for the follow-up requirements of high light fastness of outdoor textiles.
    Research progress on extraction, identification and analysis methods of dyestuffs in ancient textiles
    TAO Yuan, WANG Qicai
    2023, 31(4):  217-226. 
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    The effective identification of dyes in ancient textiles can provide the best scheme for the preservation and restoration of related textile cultural relics, and important reference for the application of natural dyes and the development of new dyes and dyeing processes. Studies related to dye identification for ancient textiles are reviewed, with focuses on on the two aspects of extraction methods and detection techniques of dyes. Suggestions and development direction are provided for the effective identification of ancient textile dyes. 
    The main extraction methods of dyes include solution extraction, in situ non-extraction, the adsorption technique by contact gel, etc. Both the solution extraction and in situ non-extraction methods have different degrees of invasive or destructive sampling of textiles. By contrast, the adsorption technique by contact gel does not require destructive sampling or special treatment of the sample, and the dye can be extracted by directly contacting the surface of the sample with the special gel for a certain time. Therefore, this method can achieve non-invasive and non-destructive sampling to a certain extent, which is a potential method for extracting dyes from ancient textiles.
    Dye detection techniques mainly include spectrology, chromatography, mass spectrometry, and so on. According to the degree of damage to textiles, they can be divided into two main categories: non-invasive techniques and micro-invasive techniques. Non-invasive techniques can be used to detect a sample without damaging it (or slightly damaging it), such as UV-visible diffuse reflectance spectroscopy (fiber optic reflectance spectroscopy, FORS), fluorescence spectrum analysis, conventional Raman spectroscopy technology, and direct mass spectrometry technology. At present, most non-invasive techniques can obtain relatively effective detection results, but most of them have certain limitations. These methods often fail to obtain detailed information about the composition of dyes, which makes it difficult to analyze the composition and determine the source of dyes. Therefore, in most cases, current non-invasive detection techniques are only used for preliminary identification of dyes in ancient textiles. Microinvasive techniques require taking a small sample, or extracting the dye components from it, to make a sample ready for testing, such as surface enhanced Raman spectroscopy (SERS) and liquid chromatography-mass spectrometry (LC-MS). Due to the complexity of surface composition and aging condition of ancient textiles, at present, high performance liquid chromatography-mass spectrometry (HPLC-MS), which requires micro-invasive sampling, is still the most accurate, stable, and reliable detection technique. 
    Finally, it is pointed out that the dye identification technology of ancient textiles is developing towards non-destructive, rapid and high precision, and developing effective noninvasive methods of sampling, building abundant spectrum database of dye, and developing new nondestructive testing technologies are key research directions in the future. 
    Characterization and analysis of drying performance of athletic shoes in hot air drying shoe box
    ZHAO Yugea, b, SHEN Yushenga, b, HE Yiping , LIU Chunyi, ZHOU Liyaa, b, DING Xuemeia, b, WU Xiongying
    2023, 31(4):  227-235. 
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    In recent years, China's sports shoes industry has maintained rapid development. In 2019, the market size of China's sports shoes industry reached 183 billion dollars, and the average annual compound growth rate from 2014 to 2019 was 20.6%. During daily wearing, sports shoes will produce moisture, odor and other problems due to sweating, which will not only affect the wearing comfort, but also adversely affect the function and health of human feet. Therefore, sports shoes need to be dried in daily care. Because the shoe is of three-dimensional structure with good overall shape stability, and the deformable variable of fabric or clothing is large, the research on the drying process of the whole shoe is different from that of fabric or clothing. In addition, the difference in structure, shape and material composition of sports shoes will have a great impact on the drying performance of sports shoes.
    We aim to explore the influence of temperature, humidity and air volume on the drying of different types of sports shoes, so as to fill in the blank of quantitative evaluation of the drying performance of shoe care products. Firstly, the drying test method of sports shoes was studied. Three representative sports shoes (running shoes, basketball shoes and clunky sneakers) were selected, and the significant sweating area of sports shoes was humidified according to the sports sweating simulation, and the experiment was terminated when the instantaneous moisture content (M) reached 0.5%. Then, the temperature and humidity changes of shoe box environment and shoe cavity were tested under different temperatures and air volume conditions to explore the impact of temperature and air volume on the drying of sports shoes. According to the experimental results, the optimal design of adding guide tubes was proposed. On this basis, the drying laws of different types of sports shoes were analyzed, and the effects of temperature and air volume on the drying time of different types of sports shoes were discussed. The results show that the drying driving force increases with the increase of the ambient temperature of the shoe box and the hot air volume, but when the ambient temperature of the shoe box increases above 36 ℃, the relative humidity in the shoe cavity and the shoe box environment does not decrease significantly. When the hot air volume is 116.64 m3/s, the increase of the shoe box environment temperature has less influence on the reduction of the relative humidity. For basketball shoes and clunky sneakers, the drying time is more affected by the air volume than the ambient temperature of the shoe box. For running shoes, the drying time is affected by the ambient temperature and air volume of the shoe box.
    There are various types of shoe care products on the market, but there is still a lack of evaluation standards for their drying performance and a lack of theoretical support for the design of key parameters such as temperature and humidity. The results of this study can provide a theoretical basis and reference for appliance companies in the design of care shoe box parameters and product design, to comprehensively achieve the goal of shortening the drying time of care shoe boxes and to provide differentiated drying parameter settings for different types of sports shoes.
    Embroidery stitch recognition based on Snake-Net algorithm
    WANG Jingxue, ZHUANG Meiling
    2023, 31(4):  236-249. 
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    The traditional embroidery is the intangible cultural heritage of the Chinese nation. and is vigorously promoted by the state. At present, most studies focus on the cultural heritage of embroidery and the application of embroidery in fashion products, while research for embroidery stitches is rarely found. In particular, the research on the recognition of embroidery stitches from the perspective of images is even less. Recognition for embroidery stitches is mostly done by experience, while few methods are available for intelligent recognition, which is not conducive to the digital protection of embroidery works.
    In order to realize the intelligent recognition of embroidery stitches and promote the digital protection of embroidery, we firstly classify embroidery stitches as three classifications: point stitches, linear stitches and block stitches on the basis of analyzing the characteristics of embroidery stitches. Block stitches are the stitches whose proportion is the highest among the three classifications in the same embroidery works, while the flush stitches, the grabbing stitches and the overlapping stitches are three kinds of basic stitches which block stitches contain. With the three basic stitches as the processing objects, we analyze and compare the characteristics of these stitches, and construct the stitch model.
    Secondly, the texture details of the embroidery stitch image are enhanced, and on this basis, the traditional Snake algorithm is improved. Based on Harris corner detection, corner points in the image are calculated to form a corner set. The Canny operator is used to detect the edge in the image, and the point set of the initial target contour is selected. Then, with the initial target contour as the center, the 5*5 template is used to cover the corner points, and the contour control points of Snake algorithm are determined, forming an intelligent HC-Snake model to realize the intelligent recognition of the target contour. The texture and color features of the target image including a total of 12 feature parameters such as the mean and standard deviation of contrast (CON), homogeneity (IDM), energy (E), entropy (ENT) and correlation (COR), the second-order color moments (SM) and third-order color moments (TM) are extracted by using the gray level co-occurrence matrix and color moments. Through the analysis of variance of the data, the significant degree of the influence of the stitch classification on each index is verified. It is found that the nine characteristic parameters including CONsd, IDMsd, Ea, Esd, ENTa, ENTsd, CORsd, SM and TM are significantly affected by the stitch classification, and they are identified as the characteristic indexes for classification, and a characteristic data set is established.
    Finally, the BP neural network classification model is established, and the parameters of the neural network model are determined by comparative analysis, and the needle samples are classified and identified. With the help of confusion matrix, the accuracy and recall of the classification model are calculated to confirm the reliability of the model. In the meanwhile, the recognition model is verified by an example. The experimental results show that the model can realize the classification of embroidery stitch images, and the classification accuracy reaches 93.3%. 
    The HC-Snake algorithm proposed in this paper can effectively improve the shortcomings of the traditional Snake algorithm in manually selecting control points, and make it more intelligent. The establishment of embroidery stitch recognition models is used for stitch recognition of ordinary network embroidery images, which improves the accuracy and applicability of the recognition model. The research results can be used to promote the digital protection of traditional embroidery.
    Mix and match style transfer for the images of clothes with CycleGAN#br#
    WANG Weizhena, b, ZHANG Gonga
    2023, 31(4):  250-258. 
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    With the continuous integration of artificial intelligence (AI) technology and the fashion field, the use of style transfer technology to generate new images has become one of the research hotspots of aided intelligent clothing design. However, the use of current style transfer technology in the process of aided intelligent design still has great limitations. Only completing the transfer of a single style limits the diversity of generated clothing images, and the detail distortion of the clothing image with the character background reduces the authenticity of the generated clothing images.
    Aiming at solving the problems of the undiversified transfer form and local detail distortion of clothing image styles in complicated conditions, a method of clothing image mixing and matching style transfer was proposed to realize the multi-style transfer of clothing styles and patterns. During the experiment, we took CycleGAN as the baseline model, with the advantage of improving the effect of style transfer without requiring pairwise training and cyclic consistency loss, used Resnet generator and PatchGAN discriminator for training, and introduced the segmentation mask. On the one hand, spatial constraints were formed for the stylization of specific areas, instance normalization was added to the discriminator to maintain the independence of image instances, spectral normalization was added to the first and last layers of the convolution layer to enhance the classification ability of the network, and background optimization loss was added to optimize the local details of the generated images, especially the boundary artifacts, which jointly promoted the generation effect and realized the style transfer of clothing styles. On the other hand, the method of image fusion was proposed. According to the pattern fusion mapping relationship, the pattern was integrated into the clothing image output by the discriminator to realize the multi-style transfer of clothing styles and patterns. In order to verify the effectiveness of the above method in the multi-style transfer of clothing images, the clothing image design sketches generated in the experiment were compared with the design sketches generated by CycleGAN and InstaGAN models. By subjectively analyzing the style diversity and detail differences of the design sketches, the IS and SSIM were used for quantitative analysis, and the subjective visual effect and objective numerical comparison both showed the advantages of this experimental method in the diversity and the authenticity of image details.
    The multi-style transfer of clothing styles and patterns can provide designers with creative inspiration and shorten the time period required for effect presentation, making AI more suitable for assisting clothing design behavior. In subsequent experiments, we will explore the transfer of more types of clothing styles, so as to achieve a diversified and controllable style transfer method. In addition, emotional elements needed for perceptual design should be added in the process of image style transfer, so as to promote the integration of computational thinking and design thinking of future-oriented design paradigm.
    Effects of mask dividing line design on facial aesthetic emotions based on EEG experiments
    WANG Xin a, ZHENG Jingjinga, b, XIA Yutinga, WANG Xua
    2023, 31(4):  259-267. 
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    Since the outbreak of the COVID-19 pandemic in 2020, the overall scale of the mask industry has grown significantly, and with the normalization of the pandemic, the mask market still has an expansion trend. However, the masks currently sold on the market are seriously homogeneous, and the combination of functionality and personalization is lacking. In order to adapt to the rapidly changing market demand, this study attempts to explore the application law of mask dividing line and find the mask structure design method that best meets the aesthetic requirements of the young.
    Through market research, this paper classifies common masks on the market according to silhouettes, and identifies 16 experimental samples according to the combination of different dividing line elements. Through the questionnaire survey, the seven most popular masks and disposable medical masks were selected as the experimental styles. In order to simulate the wearing effect of different styles of masks in a more realistic manner, this study imprinted the mask in Fuyi CAD software, and exported the template for virtual stitching in 3DCLO to simulate the real wearing effect. Finally, eight physical masks made from black non-woven fabrics were used as the experimental samples for ERPs.
    Through the event-related potential experiment, the EEG-induced condition of the participants viewing the pictures of eight masks was tested, and the subjects were invited to conduct subjective evaluation experiments after the EEG experiment. At the end of the experiment, data extraction and analysis were carried out. In this experiment, the influence of mask styles on aesthetic emotions was studied, with focus on visual response, so P300 components were selected as the research object, and the results were highly referenced. The multivariate repeated measurement of variance was used to comprehensively analyze the peak of P300 components caused by mask stimulation pictures in the Event-related potential study category.
    Through experimental results, it can be seen that for the brain region, the frontal, central and parietal lobe induction is relatively obvious, and the crest induction mechanism of the parietal lobe is obviously related to various regions, especially the temporal lobe and occipital lobe. For hemispheres, the degree of induction in the left hemisphere is more obvious than that in the right hemisphere, but the difference effect is not obvious in the interaction between hemispheres. In terms of style, in addition to the most common disposable medical masks, masks with simple structure and horizontal comprehensive dividing lines are more favored by young people, which may provide a reference for the design and production of mask businesses. For the study of EEG components, the induction mechanism of P300 components is biased towards the degree of emotion production, rather than the type, and deeper liking emotions or deeper disgust will trigger P300 peaks with similar trends.
    Impact of virtual idol anthropomorphism on virtual apparel purchase intention
    LUO Linxiaoa, CHEN Lihong b
    2023, 31(4):  268-285. 
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    In recent years, virtual apparel and virtual idols are the hot topics that have emerged. The emergence of virtual apparel has broken the limitations of the traditional apparel industry, and designers can make consumers "wear" exclusive virtual apparel through modeling technology, creating a new opportunity for the future development of the apparel sector. At present, a mature business model has not yet been formed for the domestic virtual apparel industry, while a more mature business model has been formed for virtual idol industry and has strong relevance to virtual apparel. Many virtual apparel designers or studios began to try to use virtual idol endorsement in order to break through. However, there are some problems such as unsatisfactory endorsement effects for virtual idols in the process of apparel brand endorsement, which is mainly due to the inability to meet the audience's demand for their anthropomorphism in the early stage of exploration. Furthermore, there is little research on virtual idol endorsement of virtual apparel and the influence of anthropomorphism on the purchase intention of virtual apparel in the process of virtual idol endorsement of virtual apparel in the existing literature, which is necessary for for virtual idol companies and virtual apparel companies.
    First of all, the concepts of virtual idol anthropomorphism and virtual apparel were redefined, two variables of virtual idol anthropomorphism and parasocial interaction were introduced to explore the impact of the four dimensions of virtual idol anthropomorphism, namely appearance, moral virtue, cognitive experience and conscious emotionality on the purchase intention of virtual apparel, and the intermediary role of parasocial interaction in it is verified, which is groundbreaking in the field of virtual apparel endorsed by virtual idols. Secondly, this paper constructs an extended model of the Technology Acceptance Model, which expands the scope of the applied research of the Technology Acceptance Model. Finally, this paper conducts questionnaire survey based on the extended model, collects relevant data, analyzes its reliability and validity and uses the structural equation model for empirical analysis, which can provide theoretical support and scientific basis for virtual idol companies and virtual apparel companies. The results show that virtual idol anthropomorphism has a significant positive effect on the purchase intention of virtual apparel, in which the moral virtue and cognitive experience of virtual idol have a more significant impact on the purchase intention of virtual apparel than appearance and conscious emotionality; parasocial interaction, perceived ease of use, perceived usefulness and brand attitude have a chain intermediary role in the whole process. 
    According to the experimental results, when operating virtual idol IP, the companies should reasonably design communication events and plot short videos or live content, in order to focus on improving the anthropomorphic cognition of virtual idols in two dimensions: moral virtue and cognitive experience. It is sufficient to reach the market standardization level for the degree of appearance anthropomorphism. Meanwhile, the means to increase the degree of conscious emotionality anthropomorphism is costly but less effective. In addition, the companies can also play a role in increasing the purchase intention of virtual apparel by improving parasocial interaction, perceived ease of use and perceived usefulness.