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    10 August 2024, Volume 32 Issue 8
    Preparation of MXene/nylon fabrics and their conductive properties
    QIN Ji’en, TANG Yuqin, QIN Xiuxian, YIN Yunjie
    2024, 32(8):  1-6. 
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    MXene is a two-dimensional nanomaterial akin to graphene, characterized by high electrical conductivity and a large specific surface area. It possesses a layered structure, simple fabrication process, excellent mechanical properties, and environmental stability. This material has garnered significant attention from researchers due to its outstanding electrical conductivity, hydrophilicity, and rich electrochemical active groups, showing potential applications in energy storage, sensing, catalysis, electromagnetic shielding, and biomedical fields. MXene layers obtained through etching with hydrofluoric acid (HF) and intercalation with organic macromolecules display functional groups such as -O-, -F, and -OH on their surfaces, rendering them hydrophilic. Furthermore, single-layer MXene can form stable colloidal dispersions in various aqueous and organic solvents. Leveraging these advantages, MXene/nylon fabrics can be fabricated by immersing fabrics in MXene dispersion and drying, and the functional groups on the MXene surface can combine with hydrogen bonds of the fabrics, thus firmly adhering to the nylon fabric surface. In this study, MAX phase ceramics were etched and intercalated with anhydrous ethanol as an intercalation agent, and HF generated in situ through the reaction of LiF and HCl as the etchant, to obtain a dispersion of single-layer MXene. MXene-conductive fabrics were prepared by the immersion method, investigating the influence of immersion-drying cycles on the conductivity of MXene fabrics and evaluating fabric durability and thermal properties. The conductive properties of the MXene fabrics obtained through one impregnation-drying process are limited, and it is difficult to meet the requirements of practical applications. In order to obtain an ideal conductive fabric, nylon fabrics were impregnated in MXene dispersion for several times, so that MXene can be combined on the surface of nylon fabrics as much as possible to form a stable conductive path, thus giving the fabrics excellent conductivity. After 1-4 impregnations, the electrical conductivity of the MXene fabrics was greatly improved, from 0.88 S/m to 55.91 S/m. After four impregnation-drying processes, the MXene/nylon fabrics were coated with layered MXene on the fiber surface. Due to the use of fluoride-based etching agents, MXene contains a large number of functional groups such as −OH, −F and −O−, which can form hydrogen bonds with nylon fabrics and bond closely. There are a large number of MXene layers on the surface of the nylon fabric and between the gaps, indicating that excessive MXene is filled in the gap of the nylon fabric or superimposed with the MXene layer on the fabric surface. The pattern of MXene layer on the surface of a single fiber can be observed at high magnification, which indicates that MXene and nylon fiber have a certain combination. With an increase in the number of immersion-drying cycles, the MXene content loaded onto the surface of the nylon fabrics gradually increased, resulting in enhanced fabric conductivity. After four times of impregnation-drying, the loading of MXene tended to be saturated, and the conductivity was 55.91 S/m. The washing fastness and rubbing fastness of the MXene/nylon fabrics are insufficient. After 25 times of washing, the conductivity of the fabrics is reduced to 1.47 S/m; after five times of friction, the conductivity of the fabric is 0.49 S/m.
    Preparation of nitrogen-doped graphene oxide and load modification of cotton fabrics
    YAN Jiatong, GUO Qi
    2024, 32(8):  7-14. 
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    Graphene has good thermal, electrical, and mechanical machinability, and the special boundary effect also gives graphene a controllable two-dimensional material surface, making it an ideal flame retardant, thermal insulation and conductive material. The defect is that the band gap of graphene is zero, the valence band and conduction band are difficult to open in the Brillouin zone, and the internal resistance caused by the accumulation of graphene sheets is large, which hinders the exploitation of graphene's electrical properties. Nitrogen atom doping can regulate the microstructure and electrical conductivity of graphene. By preparing nitrogen-doped graphene oxide, nitrogen-doped graphene dispersion and graphene oxide dispersion were used for the load modification of cotton fabrics. The micro-morphology, mass gain rate, limiting oxygen index, surface specific resistance, breaking strength bending stiffness and air permeability of the modified cotton fabric loaded by the two kinds of dispersion were tested and analyzed. The aim was to develop fabrics with composite functions such as flame retardancy and conductivity The results showed that the optimum loading concentration of nitrogen-doped graphene oxide / graphene oxide dispersion on cotton fabric is 6 g/L. Under the concentration, with the increase in load modification times, the coating on the surface of the cotton fabrics became increasingly denser, the mass gain rate, limiting oxygen index, breaking strength and flexure stiffness all increased, while the surface specific resistivity and air permeability showed a decreasing trend. The above test indicators increased as the number of load modifications rose, and when the number of load modification reached a certain number, the indicators tended to stabilize. When the cotton fabrics modified seven times with the loading modification were washed, the mass gain rate, limiting oxygen index, breaking strength and bending stiffness of the cotton fabrics modified by loaded modification decreased, while the surface specific resistance and air permeability were increasing. The indicators after four washing times were roughly equivalent to those of one load modification. At the same time, it could be seen from the test results that the crosslinking stability of cotton fabrics modified by nitrogen-doped graphene oxide was superior to that of cotton fabrics modified by graphene oxide, so the weight gain rate, limiting oxygen index, breaking strength and bending stiffness of cotton fabrics modified by nitrogen-doped graphene dispersion liquid were better than those of cotton fabrics modified by graphene, and the surface specific resistance and air permeability were worse than those of graphene-loaded modified cotton fabrics. It is concluded that using KH550 as crosslinking agent, it is feasible to develop composite functional fabrics by modifying cotton fabrics with dispersion liquid (nitrogen-doped graphene oxide/graphene oxide).
    Preparation of 1T- WS2/CS conductive fabric and and its hydroelectric generation performance 
    HAN Binbina, LI Weia, XUE Yangbiaoa, ZHENG Min,
    2024, 32(8):  15-22. 
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    Harvesting energy from the environment has been regarded as a versatile strategy to satisfy increased electric energy demands in widespread applications like Internet of Things (IoT), wearable systems, electronics, energy-related devices, etc. In recent years, many viable energy harvesting technologies have flourished, such as thermoelectric, photovoltaic, photothermal, piezoelectric, and frictional electric etc. However, the application of these devices still faces various obstacles, including high environmental dependence, complex manufacturing, and low output performance. Therefore, exploring new types of flexible energy devices with high output performance, low cost and environmental friendliness is indispensable in the current 5G era.
    As a rich and renewable clean energy source on Earth, natural water (such as water flow, raindrops, water evaporation, and environmental humidity) covers over 70% of the Earth's surface. In recent years, a new energy conversion called the hydrovoltaic effect has been discovered by researchers. When nanostructured materials come into direct contact with the ubiquitous liquid water, they can generate electricity without the harmful pollutants that pollute the environment. For instance, Zhang et al. prepared a structure with a wet ion energy conversion route by selectively coating ionic hygroscopic hydrogel on the carbon black surface, which is used for the encryption and display of the humidity electronic information interface (HEII). However, how to realize stable electricity generation with higher output under deformation condition, and get rid of the fixed bulky water tank are the challenges for hydroelectric generators (HEGs) to serve as a portable power supply for flexible and wearable electronics.
    Textile-based materials that have light weight, flexibility and comfort, making them suitable for manufacturing wearable electronic products. In this situation, the integration of electronic products with traditional textiles has led to the emergence of intelligent textiles or electronic textiles, which have completely changed wearable electronic products. Therefore, integrating energy harvesting with textiles or developing textile-based energy devices will provide sustainable and environmentally friendly solutions for wearable human electronics. Furthermore, textile-based hydroelectric generation materials can provide efficient absorption of water molecules and fast ion/electron transport, which has great potential in the unique design of self-powered flexible HEG devices.
    This article has herein propounded an efficient, flexible, and scalable HEG via using 1T phase tungsten disulfide/carbonized silk conductive fabric (1T-WS2/CS) to confront the above challenges. The single HEG of a size of only about 4 cm×1 cm can generate an output voltage of 0.45 V, an output current of 3.4 μA under an ambient condition (21 °C, 23% RH). Moreover, the integration of flexible HEG into medical masks for human respiratory monitoring has shown great potential in the field of intelligent wearables.
    Preparation and sensing and antimicrobial properties of poly(vinyl alcohol)/hyaluronic acid composite conductive hydrogels
    WANG Yanmin, DING Xinbo, LIU Tao, QIU Qiaohua, HASAN MD KAMRUL, ZHU Lingqi, ZHOU Jiabao
    2024, 32(8):  23-34. 
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    In recent years, people are paying more and more attention to body health detection, and flexible smart wearable sensors have also been developed rapidly. Among them, hydrogel wearable sensors have attracted much attention because of their excellent performance. The hydrogel sensor can be closely applied to the surface of human skin. When the human body moves, it can quickly and accurately output the resistance change caused by the movement in the form of an electrical signal, which is beneficial to our real-time monitoring of human movement.
    In this paper, poly(vinyl alcohol) (PVA) and hyaluronic acid (HA) were used as the substrates, and poly(3,4-ethylenedioxythiophene) conductive polymer and zinc oxide nanoparticles were used as the functional materials for the preparation of composite conductive hydrogels. Firstly, the composite conductive hydrogels were prepared by in situ polymerization and cyclic freeze-thawing method by adding 3,4-ethylenedioxythiophene (EDOT) monomer to ZnO/hyaluronic acid/poly(vinyl alcohol) (ZnO/PVA/HA) hydrogel solution after adding zinc oxide (ZnO) nano-polymer, which was prepared by mechanically assisted thermal method, to poly(vinyl alcohol)/hyaluronic acid (PVA/HA) hydrogel solution with different ratios. Zinc oxide/poly(3,4-ethylenedioxythiophene)/hyaluronic acid/poly(vinyl alcohol) composite conductive hydrogels (ZnO/PEDOT/PVA/HA) with strain sensing response and antimicrobial properties. The morphology and chemical composition of the ZnO nanoparticles and the conductive hydrogel were characterized using field emission scanning electron microscopy (FE-SEM), Fourier transform infrared spectroscopy (FTIR) and X⁃ray powder diffractometer, respectively. The mechanical, sensing and antimicrobial properties of the hydrogels were also tested and analyzed, and the optimal parameter ratio of the composite hydrogels was determined as m(ZnO/EDOT/PVA/HA)=(0.03:0.1:(1:9)). The results showed that the addition of ZnO further improved the conductivity of the hydrogel, and the conductivity of the ZnO/PEDOT/PVA/HA (ZP) conductive hydrogel could reach up to 2.91 S/m, which was about 1.48 times higher compared with that of the PVA/HA/PEDOT (ZP0) conductive hydrogel without the addition of ZnO. the strain sensing effect of the hydrogel was tested on this basis Analyzed, the hydrogel has good tensile strain performance (≥100 %) and can give good velocity feedback at different tensile velocities, with sensitive response speed (<142 ms) and long-lasting stability (>1000 times). It is capable of monitoring and recognizing the motion signals of different parts of the human body. in addition, ZP0.3 conductive hydrogel has good antibacterial properties against Staphylococcus aureus (S. aureus) and Escherichia coli (E. coli).
    The demand for flexible smart wearable sensors with sensing and antimicrobial properties is gradually increasing. The composite hydrogel sensor with sensing and antimicrobial properties prepared in this study can be used for human motion signal detection. The good sensing and antimicrobial properties confirm that the conductive hydrogel has good application prospects in flexible wearable strain sensors and medical health monitoring.
    Preparation of antibacterial eugenol/mesoporous silica nanoparticles and medical potential evaluation
    HU Wenfeng, XIA Yichang, GAO Yantao, ZHAO Yi
    2024, 32(8):  35-45. 
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    Eugenol (EG) is an important bioactive compound extracted from natural cloves. Every 100 g of fresh clove contains 9.4-14.7 g of eugenol essential oil. Eugenol has various health benefits,including anti-cancer,antioxidant,preservative,and anti-depressant properties. It also exhibits broad-spectrum antibacterial activity against various bacteria and fungi,making it a highly desirable controlled and natural antibacterial material for wound care applications such as wound healing and hemostasis. However,due to the rapid volatility and chemical instability of eugenol essential oil,its utilization efficiency is low in practical applications,often requiring encapsulation for use.
    In order to address the issues of easy volatility and low utilization efficiency of eugenol in practical applications,mesoporous silica nanoparticles (MSNs) are introduced. MSNs have been widely studied in the fields of environment,energy,and biotechnology due to their high specific surface area,tunable pore size,ease of functionalization,as well as excellent thermal stability,chemical stability,and biocompatibility. It is expected that these characteristics can be utilized to achieve efficient and sustained release of eugenol.
    In this paper,an improved Stöber method was used to prepare high specific surface area MSNs under mild conditions for loading the natural antibacterial active substance EG,resulting in the synthesis of aromatic antibacterial nanoparticles (EG@MSNs) with good thermal stability,high loading capacity,and fast release rate. The prepared eugenol-specific mesoporous silica particles had a particle size range of 100-200 nm,a pore size of 6.54 nm,and a specific surface area of 998.05 m2/g. The test results showed that the eugenol loading capacity reached 57.09%. The rapid antibacterial effect of EG@MSNs was verified through testing in simulated wound tissue fluid,where the instantaneous release of EG@MSNs at a calculated dispersal concentration of 2.35 mg/mL reached the same level as that achieved by excessive EG addition. This allows EG@MSNs to maximize their effectiveness in wound dressings for trauma treatment and has the potential to synergize with "Moist Wound Healing" theory,quickly creating an antibacterial liquid microenvironment. Furthermore,the EG@MSNs were uniformly loaded onto nonwoven calcium alginate dressings (CA@NWs) using the spray-coating technique resulted in a dressing with over 15 days of inhibition against Escherichia coli and a 71.4% reduction in clotting time. The dressing also exhibited excellent performance in terms of fluorescence properties,surface active substances,water extractables,and pH of water immersion extract. The research results demonstrate that eugenol/mesoporous silica nanoparticles have a rapid antibacterial effect and show great potential for practical applications in the field of wound antibacterial repair.
    Preparation of multi-scale PAN/ZnO hydrophilic fibers and their infiltration mechanism
    WEI Qicheng, WANG Jieqiong, LIN Wanli, TIAN Wei, LI Ya
    2024, 32(8):  46-55. 
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    With the continuous advancement of science and technology and the continuous improvement of people's living standards, product differentiation is the general trend of market development, and people's demand for functional fibers and fabrics has greatly increased. At present, electrospinning technology has been greatly developed, and the process parameters are easy to control. The preparation of electrospun hydrophilic and hydrophobic micro-nanofibers continues to become increasingly mature. The hydrothermally grown zinc oxide (ZnO) has excellent performance, low preparation cost and can be used for large-scale preparation, and the morphology of the grown ZnO can be regulated. By combining electrospinning technology and hydrothermal growth method, a unique micro-nano structure is constructed on the polyacrylonitrile (PAN)-based composite fibers, which is expected to improve the hydrophilicity of the fibers.
    To construct multi-scale hydrophilic PAN/ZnO fibers, firstly, the electrospinning technology was used to maintain the mass ratio of PAN to zinc acetate (Zn(AC)2) in the spinning solution at 6:1, the spinning voltage at 20 kV, and the spinning distance at 15 cm. The PAN/Zn(AC)2 composite fibers with uniform and smooth diameter distribution were prepared. Then, the fibers were heat-treated, and different morphologies of sub-micron ZnO structures were vertically grown on the fibers by low-temperature hydrothermal reaction, so that the morphologies of ZnO was diversified and greatly different from the fiber diameter, forming multi-scale PAN/ZnO fibers with excellent hydrophilicity. X-ray diffractometer (XRD), Fourier transform infrared spectrometer(FTIR) and JY-82B video contact angle measuring equipment were used to analyze and test the crystal structure, surface functional groups and water contact angle of the fiber membrane, respectively. The results show that the multi-scale PAN/ZnO fibers can exhibit excellent hydrophilic properties as long as they can grow vertically and evenly on the surface of the fiber to increase the fiber surface roughness, no matter whether the hydrothermally grown ZnO is hexagonal prism, flake, or block. The successful preparation of multi-scale hydrophilic fibers shows that the construction of a rough structure conforming to the Wenzel model on the fiber surface has guiding significance for the hydrophilic and hydrophobic functional finishing of fibers and the corresponding fabrics.
    The multi-scale structure hydrophilic fiber successfully prepared in this study provides a high guiding role for the preparation of functional fabrics. If it is applied to the functional finishing of fabrics, it is expected to have broad market prospects.
    Structural and property evolution of polyester industrial yarns during multistage drawing and heat-setting processes
    PEI Longcang, ZHANG Le, CHEN Shichang
    2024, 32(8):  56-66. 
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    Polyester industrial yarns have excellent mechanical properties, good aging resistance and chemical resistance, etc. They are widely used in hoses, sewing thread, cables, tire cord, geogrid, advertising light box cloth and conveyor belts. With the progress of science and technology and the continuous development of society, the use of industrial polyester fibers with the largest demand is increasing, the field of application continues to expand, and at the same time the production level of Chinese industrial polyester fibers is also constantly improving.
    The key to producing high-quality, differentiated polyester fibers for industrial use with different properties lies in mastering the relationship between processing - structure - properties of polyester industrial yarns. The post-processing of polyester industrial yarns directly affects the structure of the molecules in the aggregation state, such as crystallization and orientation, and thus determines the mechanical properties of the fiber. Most of the studies on the structure and properties of polyester industrial yarns are based on laboratory platforms with low deformation rates and long heat treatments, which are significantly different from the high-speed spinning and rapid molding of polyester industrial yarns in actual production processing. There are insufficient studies on the evolution of the structure and properties of the aggregation state during the multistage drawing and heat-setting stages of the post-processing of industrial filaments in production.
    In order to analyze the evolution of the aggregation state structure and properties of fibers during the multi-stage drawing and heat-setting process on the production of high-strength polyester industrial yarns, fiber samples were collected in segments, the aggregation state structure of fibers at different molding stages in terms of thermology, crystalline, orientation, lamellar crystal, and long-periodic structure was systematically investigated by using the analytical methods, such as DSC, DMA, WAXD, and SAXS, and the correlation between variations of the mechanical properties of the fibers with the fiber structure was analyzed. The results show that the first-stage hot drawing promotes the crystallization of molecular chain orientation in the amorphous zone, which improves the breaking strength of the fiber and reduces the thermal shrinkage; the second-stage hot drawing further improves the degree of orientation of the amorphous molecular chain, which leads to the reorganization of the grains and the formation of the rigid amorphous fraction (RAF), the degree of crystallinity increases significantly, the breaking strength of the fiber is significantly improved and the shrinkage is significantly reduced. In the subsequent two-stage relaxation heat-setting stage, the amorphous molecular chains are more active and easy to be built into the lattice, which further leads to the increase of crystallinity and RAF, and at the same time, localized disorientation occurs, resulting in the fiber fracture strength and shrinkage decreasing with the increase of the degree of amorphous molecular chain disorientation. This study analyzed the crystalline structure and orientation of the fibers, illustrated the evolution of the aggregation state structure and mechanical properties of polyester industrial yarns during post-spinning processes, and provided a reference for the property regulation of industrial polyester industrial yarns and the development of new products.
    Based on the analysis of fiber crystalline structure and orientation, this paper illustrates in detail the evolution of polyester industrial yarns’ aggregation state structure and mechanical properties with the post-spinning processing, which provides theoretical references for the production of differentiated polyester industrial yarns.
    Analysis of cellulose acetate modifications on PVC/CPVC blended flat sheet membranes
    HUANG Xinxiang, QIAN Jianhua, Xu Yuqi, FAN Yangrui
    2024, 32(8):  67-74. 
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    Polyvinyl chloride (PVC) is one of the commonly used membrane materials, which has good acid-alkali resistance and mechanical properties. However, the film forming performance of PVC film is not very ideal at present, and the formed PVC film has strong hydrophobicity, low water flux, and poor toughness. Therefore, it is necessary to modify it to improve its hydrophilicity. Chlorinated polyvinyl chloride (CPVC) is obtained by deep chlorination of polyvinyl chloride, which has better mechanical properties and thermal stability than PVC materials. Cellulose acetate is an acetate of cellulose prepared by the reaction of cellulose with acetic anhydride mixture (or acetyl chloride). It has the advantages of good hydrophilicity and biocompatibility. Therefore, the blending modification of the three substances can improve the hydrophilicity and pollution resistance of the film, and provide a certain toughness.
    PVC/CPVC/ cellulose acetate blends were prepared by phase transformation method. The shear viscosity, infrared spectrum, surface morphology, cross section morphology, pure water flux, retention rate and flux recovery rate of the blends were studied. The effect of the degree of esterification on the properties of the blended films was also studied. The results showed that the three materials had certain compatibility, and the separation film with good performance could be formed under a certain proportion of mixing. The comprehensive performance was the best when the PVC/CPVC/CA blending ratio was 70/10/20, and the water flux was 55.78 L/(m2 h) under 0.1MPa. For 0.1g/LBSA solution, the retention rate was 64.67%, the flux recovery rate was 55.92%, and the comprehensive performance was the best when the PVC/CPVC/CDA blend ratio was 65/10/25. At 0.1MPa, the water flux was 91.21 L/(m2 h). For 0.1g/LBSA solution, the retention rate was 90.85% and the flux recovery rate was 56.93%. The results showed that the hydrophilicity and anti-pollution properties of the membranes were significantly improved.
    At present, there are few related studies on PVC blend film, and the study on PVC/CPVC/ cellulose acetate ternary blend has not been reported. In this paper, PVC/CPVC/ cellulose acetate blend film was prepared by phase transformation method. The film forming properties were analyzed and discussed by measuring the shear viscosity of the cast film liquid with different blending ratios. At the same time, the microstructure of the surface and cross section of the blend film were observed by field emission scanning electron microscopy (SEM). The hydrophilicity and separation performance of the membrane under different blending ratios were analyzed by water contact Angle, pure water flux and retention. On this basis, the influence of the degree of esterification of cellulose acetate on the properties of the membrane was analyzed, which provided a certain choice for the modified materials of PVC blend membrane and made it have a broader market prospect in sewage treatment.
    Research progress on polyester FDY spinning oils
    DONG Qiao, CHEN Xiaoqin, HAN Chunyan, QIN Xianan, Jin Yifeng, WANG Shengpeng, LÜ Wangyang,
    2024, 32(8):  75-84. 
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    The FDY spinning oil is an indispensable auxiliary in the production of polyester FDY, providing the fibers with excellent smoothness, bundling, anti-static properties, and abrasion resistance during the spinning process, thus ensuring the fibers proceed smoothly through subsequent processing steps.
    This review comprehensively introduced the research progress on FDY spinning oils both domestically and internationally. First, it elucidated the composition of FDY spinning oils, which mainly include smoothing agents, emulsifiers, wetting agents, bundling agents and anti-static agents. Smoothing agents primarily reduce friction between fibers, enhancing their smoothness and ensuring the seamless spinning process. Emulsifiers aid in the dispersion of the oil in water, forming stable emulsions that are easier to apply and distribute. Wetting agents improve the spreadability of the oil on the fiber surface, ensuring uniform coverage. Bundling agents assist in the cohesion of fibers during the spinning process, while anti-static agents address the issue of static buildup during spinning, preventing quality defects caused by static electricity.
    The review also briefly introduced FDY spinning oil products from major companies abroad and their development status. International FDY spinning oil products have achieved many significant technological advancements. For instance, many foreign companies have started to develop and apply new types of oils with excellent biodegradability to reduce environmental impact. Additionally, significant progress has been made in improving anti-static properties, abrasion resistance, and thermal stability of foreign products, greatly enhancing the performance of polyester FDY fibers in practical applications. Furthermore, the review summarized the latest research progress on FDY spinning oils in China, with a particular focus on breakthroughs and applications in technological innovation. Domestic research institutions and companies have also made significant achievements in the development and application of FDY spinning oil. For example, some domestic research efforts have focused on optimizing oil formulations to improve the smoothness and anti-static properties of fibers to meet the needs of different application fields. Moreover, some studies have explored the potential of enhancing oil performance through the introduction of nanotechnology and functional additives, providing new ideas and directions for the development of FDY spinning oils. Finally, this review discussed the development prospects of FDY spinning oils. In the future, with the continuous development of the textile industry, the demand for new polyester fibers will continue to increase, which will pose higher requirements for the performance of spinning oils. As new materials and technologies continue to emerge, the performance and application scope of FDY spinning oils will continue to expand. These innovations will sustain the development of new polyester FDY fibers, promoting further advancement in the textile industry.
    Prediction of cotton fiber micronaire grade based on data mining
    YOU Meilu, LIANG Huixiang, ABUDUREXITI Maimaiti, ZHU Xuanzhi , ZHANG Lijie
    2024, 32(8):  85-90. 
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    The micronaire reflects the fineness and maturity of cotton fibers. Research shows that the maturity level affects the physical properties of cotton fibers, and the micronaire also has a strong correlation with other quality indicators of cotton fibers. Although cotton fiber inspection has gradually become instrumented, there are many indicators, and the process is complex. To make full use of the public inspection data, simplify the inspection process, and improve inspection efficiency, this paper considers the potential linear or nonlinear relationship between the physical performance indicators of cotton fibers and studies a model that reflects the micronaire with other indicators.
    This paper first preprocesses the collected data, performs descriptive statistical analysis, and determines the maximum and minimum values in the normalization process. Then, it uses Adaboost, LightGBM, and GBDT algorithms to perform feature selection on the indicators and analyze the importance level. Since there are differences in the analysis results of different methods on each indicator, this paper establishes a matrix to comprehensively analyze the selection results and finally determines that 9 indicators are involved in the establishment of the micronaire grade prediction model. These 9 indicators are Rd, +b, impurity particle number, impurity area percentage, upper half average length, length uniformity index, breaking strength ratio, breaking elongation ratio, and short fiber rate. Finally, this paper uses decision tree, random forest, and LightGBM algorithms to establish the micronaire grade model, and obtains the final result of the model through the evolution process of adjusting parameters and other methods. By comparing the results of the three models, this paper finds that LightGBM has the best result for the micronaire grade prediction.
    This paper is to apply the LightGBM algorithm to the micronaire grade prediction of cotton fibers, explore the correlation of multiple physical indicators of cotton fibers by data mining methods, use Adaboost, LightGBM, and GBDT methods to comprehensively determine the 9 indicators as the basic indicators for the micronaire grade prediction, and establish a prediction model with a verification accuracy of 85.7%, which provides a theoretical reference for the intelligent inspection of cotton fibers. The follow-up work can further optimize the cotton fiber inspection indicators, use fewer indicators to achieve the micronaire grade prediction, or choose multiple nonlinear algorithms to analyze and compare the indicators, and further improve the accuracy of the micronaire grade prediction.
    Collaborative reverse design and numerical implementation of heald frame lifting and selection cams on a rotary electronic dobby
    QIU Haifei
    2024, 32(8):  91-99. 
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    The rotary electronic dobby has many advantages, such as compact structure, high efficiency, and good stability. In order to control the lifting motion of multi-page healed frames precisely, the current mechanical system of electronic dobby chooses a cam drive in both lifting and selection units. Designing high-precision lifting and selection cams with good dynamic characteristics has always been problematic in developing high-speed electronic dobby. In addition, the motion control of the lifting and selection systems for the heald frame is complementary, so it is necessary to consider the cooperating factors of the lifting and selection process from the process level. This paper combines the composition and operating principle of the rotary electronic dobby and realizes the joint reverse design of the lifting and selecting cams in Matlab software, which is conducive to a deep understanding of the rotary electronic dobby's lifting and selection coordination mechanism. 
    By analyzing the process, designing the mechanism, deducing equations, and conducting theoretical calculations, the cycloidal, corrected and constant velocity motion law was applied to the rotation output of the slider rod. A reverse design program for the profile curve of the lifting conjugate cam was developed by Matlab software. The "bisection method" was used to iteratively calculate the coordination parameters of the lifting and selection cams, thereby determining the safety angle of the large disk, the lifting angle, and the return angle of the selection cam. On this basis, combined with the requirements of selection and control, a swinging rod motion law based on a quintic polynomial was constructed, and the theoretical profile curve of the selection conjugate cam was designed and generated through Matlab software. The joint development of the lifting and selection conjugate cams was achieved, and the feasibility of the cooperation between the lifting and selection system was verified. The lifting and selecting cam mechanism has good motion performance and coordination relationship when the motion laws of cycloidal, corrected and constant velocity and the quintic polynomial are employed.
    The reverse design ideas and numerical implementation method of lifting and selecting conjugate cams have been clarified, providing an essential reference for designing and developing high-precision rotary electronic dobby.
    Finite element simulation of heat transfer properties of brushed knitted fabrics
    LIU Weia, LEI Mina, SHEN Huaa, b, LI Yulinga, b, MA Yanxuea, b
    2024, 32(8):  100-107. 
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    The surface hairiness of raised yarn knitted fabrics can not only affect the appearance style and fashion sense of the fabric, but also affect the heat transfer performance of the fabric. Therefore, relevant fabric manufacturers have designed and developed knitted fabrics with different degrees of raising yarn to meet the different fashion and functional needs of consumers. However, there is currently a lack of sufficient theoretical basis to elaborate on the relationship between hairiness and the heat transfer performance of raised yarn knitted fabrics. At the same time, traditional experimental testing methods have the disadvantages of being time-consuming, laborious, and requiring a large number of samples, which is difficult to fully and accurately explain this relationship. Therefore, it is necessary to use new methods to study the heat transfer performance of hairiness and raised yarn knitted fabrics, in order to guide the design and development of raised yarn knitted fabrics.
    To explore the influence of hairiness on the heat transfer performance of raised yarn knitted fabrics, we propose a method to predict the heat transfer performance of raised yarn knitted fabrics. A knitted loop-hairiness layer model is established, and based on this, finite element simulation analysis is carried out on the heat transfer performance of raised yarn knitted fabrics. The effectiveness of the model is verified through experimental tests. Firstly, we measured four knitted fabrics with different degrees of raising yarn to obtain the geometric structural parameters of the fabrics. In SolidWorks professional modeling software, the knitted loop structure of the fabric was established based on Pierce's two-dimensional loop model theory. On the basis of this structure, the hairiness layer of the fabric was established using ANSYS DesignModeler. Then, we meshed the models of the four fabrics, and used finite element analysis software ANSYS Fluent to set boundary conditions according to the simulation environment, and performed iterative calculations to obtain the temperature distribution cloud images of the four fabric models. Finally, we tested the knitted fabrics with different degrees of raising yarn through experiments, and compared the simulation results with the experimental test results to verify the effectiveness of the model.
    The research results show that the correlation coefficient between the simulated thermal resistance value and the experimental thermal resistance value of the raised yarn knitted fabric is close to 0.993, and the maximum difference is less than 17.7%, indicating that the finite element model has certain feasibility. The higher the surface hairiness density of the raised yarn knitted fabric, the greater the thermal resistance of the fabric. However, when the hairiness density reaches a certain range, the thermal resistance of the fabric changes slightly.
    Research on consumer demand for down jacket in Russia based on cross-border E-commerce
    KANG Lei, ZHANG Yu
    2024, 32(8):  108-116. 
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    In the history of bilateral trade in China and Russia, Russia has always been an important export market in China. Because of the geographical location of Russia, its people have high demand for winter clothing products. In this context, Chinese suppliers provide more targeted high quality winter clothing for the Russian clothing market, which will further promote the development of bilateral clothing trade. However, in the field of domestic consumer demand research, most of the research targets are domestic consumers, and foreign consumers account for only a few.
    In order to promote the development of the foreign trade clothing industry in my country and Russia, and effectively guide domestic companies to enter the reverse custom production model, this article uses the Russian e-commerce platform Wildberries as the source of data to obtain online comments from down jacket clothing products. After preprocessing online comments, use the method of combining high frequency vocabulary extraction and cluster algorithm extracts consumer evaluation dimensions from it, obtains three first level evaluation dimensions, and ten second level evaluation dimensions; during the analysis of consumer demand, sentiment analysis is conducted on the manually annotated online comment dataset through three indicators: consumer evaluation dimension weight, emotional positivity rate, and progress to be improved, ultimately obtaining feedback information from clothing consumers. The results indicate that product quality has the greatest impact on the overall emotional orientation of consumers in the primary dimension, followed by product appearance and service quality. In terms of product quality, although warmth retention is the most important clothing characteristic of down jackets, it ranks only third in the overall emotional tendency of consumers; The top ranking is the fit, which is also the most in need of improvement. Among the other secondary dimensions, color and customer service have the greatest impact on the overall emotional orientation of consumers, both of which need further improvement. In the future, China's foreign trade clothing enterprises should not only increase corresponding sizes in the design and production process, but also consider consumer preferences for colors and warmth needs. Sales parties should pay attention to improving customer service quality in the service provision process to enhance consumer satisfaction, ultimately promoting domestic enterprises to enter the reverse customization production mode and promoting the development of bilateral trade.
    In future research, in order to use data more effectively, deep learning technology can be used to automatically analyze online reviews, efficiently and accurately extract keywords and themes, and identify consumer preferences and feedback; Incorporate it into the training sample, you can better understand the all characteristics of the demand for down jacket consumers.
    Clothing pattern style transfer based on edge enhancement and association loss
    CHEN Yuqi, XUE Tao, LIU Junhua
    2024, 32(8):  117-126. 
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    With the continuous upgrading and iteration of image processing and deep mining technologies, and their continuous application in people's daily work and life, many scholars have also deepened their research on images.
    Clothing design is an important field of image application, and the pattern style of clothing can to some extent affect customer satisfaction with clothing.The transfer of clothing pattern styles can replace corresponding styles of clothing according to individual needs, which is a product of the development of image processing and greatly caters to the spiritual needs of the public.Style transfer is mainly based on deep learning algorithms, identifying the edges, colors, and textures of the style map, and transferring them to the edited content map, so that the final generated image contains the basic texture features of the style image. The research on clothing patterns mainly focuses on changing styles, which is also the focus of research. Integrating numerous different styles into corresponding clothing patterns can make clothing styles more diverse and quickly meet people's needs.The traditional clothing pattern style transfer style is relatively single, mostly consisting of simple texture features, and the image generation effect is not ideal. There are still many difficulties in improving the clarity, quality, and contrast of style and color for image transfer with different styles.Clothing style transfer generally uses convolutional neural networks as the basic algorithm for feature recognition, mainly to extract features from the original image and record them in the feature map. Different features correspond to different feature maps, and then through feature calculation, align the style map and content map to complete the transfer process.However, most existing style transfer algorithms are suitable for image style transfer, and directly applying these methods to clothing style transfer results in unsatisfactory results. 
    This article proposes an edge enhancement and association loss based clothing transfer method called EnAdaIN. Firstly, the original edge features of the image are extracted, and then Mask R-CNN is used for semantic segmentation. Then, the content image and style image are added to the improved EnAdaIN model based on spatial association loss. After obtaining the style transfer pattern, the extracted edge features and semantic style image are fused, Finally, the pattern style of the clothing is transferred. The spatial association loss algorithm that combines content loss algorithm and style loss algorithm can further improve the feature similarity and detail display of images. The experiment shows that the peak signal-to-noise ratio of the model in this article has improved by more than 0.95 percentage points compared to other models, the structural similarity has improved by more than 2.43 percentage points, and the transfer efficiency of the model has improved by more than 3.53 percentage points. The generated image information has richer colors and more obvious features, further improving the contrast and quality of the image.
    Research on 3D digital simulation of traditional weaving technology of Aidelaisi
    QIN Xiaoting , ZHANG Yu, WANG Shuai
    2024, 32(8):  127-134. 
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    The traditional weaving technique of Aidelaisi has rich historical, cultural and technical value and is a precious intangible cultural heritage of the Chinese nation. Aidelaisi has bright colors and vibrant patterns, representing the unique national culture of Xinjiang. Its concentrated production area is in Jiya Township, Hotan Prefecture, Xinjiang. However, in the contemporary era of rapid development of intelligent manufacturing, the protection and inheritance of Aidelaisi weaving technology is facing greater difficulties because the traditional weaving technology of Aidelaisi is extremely complex and the main inheritance method is backward.
    In order to improve this situation, three-dimensional digital simulation technology is used to digitally simulate the traditional Aidelaisi weaving process, making the recording and presentation of the weaving process more vivid and vivid. This article first reviewed and sorted out relevant literature on Aidelaisi, and investigated Giya Township, Hotan Prefecture, where Aidelaisi is produced, and collected and organized the relevant information on Aidelaisi weaving technology through photography, audio and video. ,storage. Based on the collected data, the fabric structure, loom structure and weaving principle of Aidelaisi are analyzed. Then, 3D Max modeling technology software was used to group the loom parts into blocks, and a 1:1 digital model of Aidelaisi's traditional loom was created from simple to complex and from bottom to top. The linked Keyshot technology software was used to give the loom model corresponding materials. , accurately simulating every detail and texture of the loom. The material, color, shape, length, width, height and other characteristics of each component are clearly presented to achieve simulation effects. Then, the digital simulation animation of Aidelaisi weaving process is produced through the process of key frame setting, shot and script design, rendering output, animation synthesis, and post-editing. The digital simulation animation content includes the assembly of loom components and the weaving process, clearly demonstrating the operational relationship between the various components of the loom. Create a human-computer interactive display interface for Aidelaisi's weaving process, allowing you to observe the details of each component of the loom and watch weaving simulation animations from all angles.
    By displaying 3D digital loom models and weaving animation results on Internet platforms such as digital libraries, digital recording of the Aidelaisi weaving process can be achieved. Such digital records not only facilitate learning and research, but can also serve as important materials for craft inheritance. The application of 3D simulation technology to digitally display the difficult traditional weaving process that can only be demonstrated by on-site weaving in the weaving craft workshop breaks through the limitations of time and space, allowing people to learn and understand the process in a more convenient and intuitive way anytime, anywhere, so that they can Quickly master the principles of weaving and its inherent laws. The combination of traditional Aidelaisi weaving technology and three-dimensional digital simulation technology gives this traditional handicraft a new vitality in modern society and is better protected and inherited. This three-dimensional digital technology with intuitive visualization, dynamic display and good interactivity can also be applied to the inheritance of other intangible cultural heritage weaving techniques.