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Table of Content

    10 March 2025, Volume 33 Issue 03
    Preparation of SiO2 aerogel aromatic microcapsules/PVA blend fibers and their slow-release properties
    SONG Peiju, TANG Junsong, GAO Guohong, MA Mingbo, ZHOU Wenlong
    2025, 33(03):  1-7. 
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    The aerogel particle is a kind of ultra-light material with a three-dimensional porous network structure and a high porosity within. The porous structure and excellent mechanical stability of aerogel make it an ideal carrier for essence, phase change materials and even drugs, and an ideal material for preparing slow-release microcapsules. To explore the application of aerogel particles in the preparation of aromatic fibers, the SiO2 aerogel microcapsules loaded with essence were mixed into polyvinyl alcohol (PVA) spinning solution, and PVA aromatic fibers were prepared by wet spinning process. The effect of  the addition amount of aromatic microcapsule on the viscosity and dispersion of the spinning solution, morphology, basic properties, and slow-release performance of the aromatic fibers were studied. 
    It was found that with the increase of the amount of SiO2 aerogel aromatic microcapsules, the viscosity of PVA spinning solution gradually increased, and the microcapsules gradually clustered in the spinning solution. When the addition amount was higher than 7%, the aromatic microcapsules exhibited obvious agglomeration phenomenon in the spinning solution, making the spinning process more difficult. Aromatic fibers were prepared from PVA spinning solution containing 4% of SiO2 aerogel aromatic microcapsules, and the longitudinal morphology of the obtained fibers was basically the same as that of pure PVA fibers. The aerogel aromatic microcapsules were embedded in the fibers and well dispersed. SiO2 aerogel aromatic microcapsules and the prepared aromatic fibers have excellent slow-release properties. After being placed at room temperature for 60 days, their essence release rates were only 22.2% and 13.4%, and their fragrance retention performance was significantly better than that of aromatic microcapsules and aromatic fabrics prepared by conventional polymer embedding method, such as polymethyl methacrylate, melamine/formaldehyde resin and polyurethane. The thermal properties and tensile mechanical properties of PVA fibers decreased significantly after the addition of SiO2 aerogel aromatic microcapsules. This probably resulted from the increase of void space in the fibers caused by aromatic microcapsules; aromatic microcapsules also interfered with orientation arrangement and crystallization formation of PVA fibers, causing a disordered aggregation structure of in the blend fibers.
    This study is of great significance for the application of aerogel particles in the preparation of slow-release functional microcapsules and their functional fibers.
    Preparation and properties of a chitosan/calcium alginate hemostatic sponge
    LUO Shuang, WU Ying, LI Huimin, SU Jing, WANG Hongbo
    2025, 33(03):  8-15. 
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    In daily life as well as in clinical surgery, the first problem that needs to be solved is how to quickly stop bleeding from wounds. Prolonged exposure of wounds to air can easily lead to infections and loss of bodily fluids, which can impact wound healing and, in severe cases, even cause complications. This can impact wound healing and, in severe cases, even lead to complications. Traditional dressings are still widely used on skin injuries, primarily due to their affordability, simplicity in preparation, and ease of application. However, their role in wound healing is limited by their simple physical coverage, tendency to adhere to wounds and limited capacity to absorb tissue fluid, which restricts their effectiveness in wound healing. Natural polysaccharides are highly advantageous in the direction of preparing new sponge dressings due to their excellent biocompatibility, degradability, widespread availability, and affordability. Sponge dressings made from polysaccharides not only retain the sponge's excellent breathability and fluid absorption capabilities but also possess the inherent advantages of polysaccharides.
    Calcium carbonate (CaCO3) is an inorganic material widely found in natural substances such as limestone and coral, which is inexpensive, readily available, safe and non-toxic, and therefore has garnered significant attention in the biomedical industry. To improve the sponge formed by the exogenous gel method of freeze-drying traditional calcium alginate sponges, it is necessary to address issues such as hard texture, lengthy process, and uneven cross-linking. One way to achieve this is by re-crosslinking the sponge through immersion in calcium chloride solution. The thesis uses sodium alginate (SA) and chitosan (CS) as the base materials, CaCO3 as the source of Ca2+ for ionic cross-linking, and regulates the pH value of the solvent to control the cross-linking speed to simultaneously trigger ionic cross-linking and electrostatic interactions, and employs internal gelation to stabilize the sponge's cross-linked structure, so that the sponge dressings which are soft and skin-friendly and able to stop hemostatic quickly are prepared. The main research is as follows: CS and SA were dissolved in pH=4.5 acetic acid-sodium acetate solution, and then CaCO3 suspension was uniformly dispersed in the mixture, which was left to cross-link for 24 h and then frozen at -20 ℃, and the sponge samples of uniform texture were produced by vacuum freeze-drying. This study explored the formation mechanism, morphological structure, physicochemical properties, blood safety, and hemostatic performance of the sponge. The sponge samples were made by vacuum freeze-drying. The test results showed that the sponge had better performance when the CaCO3 mass fraction was 0.4%, with a liquid absorption rate of (1,234±49.36)%, a coagulation index (BCI) of (13.924±0.963)%, an in vitro degradation rate of (76.708±2.302)%, and a haemolysis rate of less than 5% in all cases. The sponge exhibits excellent liquid absorption capacity, rapid hemostasis, safety, non-toxicity, and in vitro degradability, making it a potential candidate for biological hemostatic materials.
    Due to the basic nature of the sponge material, the novel hemostatic sponge exhibits a limitation in terms of poor mechanical properties. In future research, it is anticipated that combining the sponge with traditional dressings could enhance hemostasis and wound healing effects while simultaneously improving mechanical properties. And the intricate porous structure of the sponge dressing also makes it has a great potential for drug loading applications.
    Progress in application of intelligent shear stiffening gel composites
    YANG Dan, LIU Shengdong, CHANG Hao, YAO Gaozheng, ZHANG Weitian
    2025, 33(03):  16-26. 
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    With the progress of society and the times, various public transportation and high-rise buildings in cities have developed rapidly. The frequency of low-speed impacts such as falling objects and car collisions has also increased, posing economic and life-threatening risks to people. Therefore, there is an urgent need for protective equipment that can effectively resist the destructive effect of low-speed impact. Traditional protective materials are generally made of metals or high-strength ceramics. Due to their heavy weight and high stiffness, these materials lack flexibility and ductility, making it difficult to provide adequate protection for joint areas such as arms and legs. Therefore, the research and application of lightweight and flexible impact-resistant materials have become important topics in safeguarding people's lives. The development of impact-resistant materials has gone through many stages, from the initial hard materials such as steel plate and aluminum alloy plate to the later more lightweight and efficient materials such as EVA, EPS and EPP. These materials exhibit good flexibility under low strain rates but demonstrate high stiffness under high strain rates, effectively absorbing and distributing impact energy to reduce harm to the human body.
    Shear Stiffening Gel (SSG), as a kind of intelligent shear hardening material, has the characteristics of dynamic weak cross-linking bond, nonlinear mechanical behavior and high energy dissipation efficiency. Upon impact, it can rapidly harden to absorb impact energy and then revert to its original state after the impact, demonstrating self-healing properties. Due to its unique strain rate sensitivity and shear hardening characteristics, SSG exhibits broad application prospects in various fields such as protective equipment, sensors and dampers. The introduction of different functional particles into SSG's multifunctional composites not only enhances its multifunctionality but also provides rigid support to the matrix, effectively mitigating the cold flow phenomenon of SSG.
    SSG composites have potential advantages in the fields of energy dissipation and protection, and the stability and impact resistance of SSG can be effectively improved through various composite structure designs. These studies have demonstrated the benefits of SSG composites with different structures in energy dissipation within the realm of protection. Moreover, they have opened up new possibilities for the application of SSG in fields such as personal protection, artificial intelligence, military security, and healthcare, showcasing its immense scientific value and application prospects as an intelligent impact-resistant material. Exploring the mechanical properties of SSG and the principles behind it is essential to drive continued innovation in SSG applications. This article reviews the preparation techniques and mechanical properties of SSG, and analyzes the latest advancements in its functional improvements and practical applications. At the same time, the challenges in the research of SSG materials are also pointed out, and the development prospects of SSG materials are prospected.
    Effect of twist factor on the structure and properties of rotor-spun polyester-cotton wrapped yarns
    ZHOU Zhengyu, YANG Ruihua
    2025, 33(03):  27-32. 
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    The wrapped yarn is a new structure of yarn that is composed of two or more kinds of fibers. In terms of performance, it can compensate for the deficiencies of single-component fibers and leverage the advantages of composite fibers. Through the composite of fibers, it can make textile fabrics show new styles, high elasticity and special functions that cannot be shown by a single material. The wrapped yarn is a kind of composite yarn that is not only simple and efficient in production but also fully utilizes the characteristics of the fibers, making up for the defects of single-component fibers. The production technology for staple fibers and filament wrapped composite yarns has become increasingly mature, mainly including ring spinning, rotor spinning, hollow spindle spinning and so on. At present, rotor spinning technology is the most mature, widely used, and economically beneficial new spinning method. Since its inception, research in this area has been continuously conducted. However, in recent years, compared with ring spinning and hollow spindle spinning, not much research has been done on rotor spinning wrapped composite yarns, especially the optimization of process parameters for wrapped yarns in practical production. Therefore, this paper selects polyester filament and cotton staple fiber composite spinning polyester-cotton wrapped yarn on the basis of existing materials, and carries out the research and optimization of process parameters of polyester-cotton wrapped yarns.
    The spinning principle of rotor composite spinning is that under the combing action, the staple fibers are carded into single fibers and enter the coalescing tank. The filament enters the spinning cup through an axial hollow spindle. The high speed rotation of the spinning cup produces a twisting effect that causes the filament and the staple fiber to be entangled into a yarn. It can be seen that twisting plays a key role in the yarn formation process of entangled yarn, and the twist factor is closely related to the structure and quality of the yarn. In order to explore the influence of twist coefficient on the appearance and structure as well as the performance of wrapped composite yarns, and to optimize the process parameters of polyester-cotton wrapped yarns by rotor spinning technology, the article used white cotton staple fiber as the core yarn and 50 D black polyester filament yarn as the outer wrapped yarn. As a result, ten sets of wrapped yarns with fineness of 68.3 tex were spun with twist coefficients in the 385‒655 range. The appearance and structure of the yarns were analyzed, and their tensile properties, hairiness, dryness, defects and residual torque were tested and compared. The results show that the wrapped yarns have spacer color effect; the influence of the twist coefficient on the properties is in accordance with the known theory, which further verifies the scientific validity of the relevant theory. Moreover, the critical twist coefficients of the wrapped yarns are in the 475‒535 range, and the yarn quality is optimal when the twist coefficient of the wrapped yarns is 505 according to the results of the comprehensive indexes.
    The twist factor influences the appearance, structure, and performance of wrapped composite yarns. Through the experimental research and analysis conducted in this paper, the experimental results align with the theory, further verifying the scientific validity of the relevant theories and providing practical experience for the spinning and performance of rotor-spun wrapped yarns. In the future, it is necessary to continue exploring relevant experimental studies on rotor-spun wrapped yarns, considering the influence of multiple factors on yarn performance, and further adjusting and improving them to promote the innovation and development of rotor spinning wrapped yarns.
    An automatic replacement method of yarn bobbin based on machine vision
    CHEN Furong, ZHANG Zhouqiang, LI Cheng, CUI Fangbin
    2025, 33(03):  33-41. 
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    In textile production, the replacement of bobbins is an unavoidable key process. Currently, most textile enterprises still employ manual bobbin replacement methods, which poses safety risks and is labor-intensive. The carbon fiber, known as the "black gold" of the 21st century, is a new type of fiber material with a carbon content exceeding 90%. Because of its light weight, high strength, and corrosion resistance, the carbon fiber has been widely used in various fields. In recent years, the government has been actively promoting the development of the carbon fiber industry. Both the “13th Five-Year Plan” and the “14th Five-Year Plan” have explicitly called for the strengthening of research and application of high-performance fibers and composite materials like carbon fibers. In carbon fiber weaving and production, the replacement of carbon fiber bobbins is a critical step. This paper explores methods to achieve automatic bobbin replacement, using carbon fiber bobbin replacement as a case study.
     To achieve the intelligent replacement of carbon fiber yarn bobbins, this paper proposes an automatic bobbin-changing method based on machine vision detection and robotic arm collaborative operation, and establishes a corresponding intelligent bobbin-changing system. The system is mainly divided into hardware and software parts. The hardware part includes an image acquisition module, a yarn rack device module, an upper computer module, and a robotic arm control module. The software part is responsible for recognizing the target object in the image and controlling the robotic arm. This paper mimics the yarn rack design of an actual factory and designs a yarn rack device suitable for laboratory settings. First, the image acquisition module is responsible for capturing and saving images; then, the upper computer module integrates the software programs of the entire system, which are used to monitor and determine the status of the yarn bobbin and transmit information to the robotic arm; finally, the robotic arm control module receives signals from the upper computer and completes the bobbin replacement according to the planned path. The image processing part of the system is based on an optimized Hough circle detection algorithm, incorporating the LM algorithm and monocular distance measurement principles to limit the radius range of the yarn bobbin, and adding a concentric circle detection mechanism to achieve more accurate bobbin positioning. In addition, a multi-layer perceptron (MLP) model is used to complete hand-eye calibration, determining the relationship between the image coordinates and the robotic arm base coordinates, thus obtaining the precise position of the robotic arm's end.
    In the experimental tests, this paper addresses the sensitivity to ambient light and background noise by adding Gaussian noise to the captured raw images and adjusting the brightness (with parameter values of -50, 20, and 50). Through these data augmentation operations, it is verified that the optimized Hough circle detection algorithm possesses strong robustness and reliability, maintaining high detection accuracy in complex environments. Compared with the Random Forest and K-nearest Neighbor algorithms, MLP shows the best accuracy on the X/Y/Z axes, with mean square error controlled within 1.77 mm². The results indicate that this study achieves high precision and effectiveness in the collaborative work of machine vision and robotic arms, providing important technical support for the practical application of intelligent replacement systems.
    Analysis of the relationship between the draft ratio and the diameter of big belly yarns with a dual-color structure
    LIAO Jingwen, LANG Lingkun, LI Wenya
    2025, 33(03):  42-47. 
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    The market for fancy yarns is showing a steady growth trend, and with the increasing pursuit of textile quality and design by consumers, fancy yarns have received widespread attention and favor due to their unique characteristics. In 2023, the global market revenue for fancy yarns reached 34.223 billion yuan, of which the market size for Chinese fancy yarns reached 16.756 billion yuan. With the expansion of market size, diversification of product types, and expansion of application fields, the development and refurbishment of traditional fancy yarns have become an inevitable trend. The big belly yarn, as a traditional fancy yarn, also faces updates and iterations. However, current research both domestically and internationally has focused on the influence of process parameters on the performance and quality of big belly yarns, and there is relatively little research on how the draft ratio affects the diameter of these yarns and, in turn, the texture and relief of the fabric surface, especially in the context of big belly yarns with a dual-color structure..
    To explore the relationship between the spinning draft ratio and the diameter of the big belly yarn, which in turn affects the appearance of the fabric, this study investigates the spinning of the big belly yarn based on the dual-color structure. Starting from the perspectives of yarn effect and fabric effect, the study firstly designs a big belly yarn with a dual-color structure in the cross-section and axial direction, varying length and thickness of the bulge. The study also selects two different colors of coarse yarns, and determines the final process parameters through trial spinning. The factors that affect the yarn quality are controlled during spinning, and the coarse yarns are placed reasonably to prevent entanglement and impact of the yarn quality when the two coarse yarns are fed. The speed ratio between the front roller and the groove tube is maintained at 1:1.1, which can not only ensure good yarn winding by coordinating the groove barrel with the front roller but also maintain tension between the front roller and the groove barrel, ultimately successfully spinning the target sample. On this basis, with 1.5 as the starting value and 0.3 as the increment, the draft ratio is set to study the diameter changes of yarns under different draft ratios. Data analysis software is used to regress the draft ratio in the spinning process parameters with the corresponding big belly yarn diameter, and the optimal function model is obtained. Research has found that adjusting the movement time of the back roller can simultaneously control the color and diameter changes of the yarn, and setting the width reasonably during weaving can achieve staggered changes of different colors. There is a power function relationship between the draft ratio and the diameter of the big belly yarn, with the function equation being y=0.7693×x(-0.3864); there is a corresponding relationship between the diameter of the big belly yarn and the unevenness effect of the fabric surface, that is, the thickness of the fabric surface. Under weaving conditions with warp and weft tightness of 37.31% and 80.93%, respectively, there is a non-linear relationship between the diameter of the yarn and the thickness of the fabric surface, with the equation being y=0.1466-75.2459×(5.64×10-8)x.
    The influence of draft ratio on the final fabric effect provides insights for the development of big belly yarn products. The spinning process parameters can be quickly determined based on the expected fabric effect, so as to reduce the frequency of manual adjustment and improve production efficiency.
    Preparation and properties of antibacterial and self-cleaning cotton fabrics based on ZIL-L
    LAN Liying, QIU Qiaohua
    2025, 33(03):  48-57. 
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    Cotton fibers, widely used as natural textile fibers, are favored for their skin-friendly, soft, and economical characteristics. However, they are susceptible to microbial contamination. With the frequent occurrence of global pandemics, the public's concern for hygiene and health issues has been increasing, and the demand for textiles with antibacterial properties has also risen accordingly.
    Metal-organic frameworks (MOFs) represent a class of novel porous materials characterized by high porosity and large specific surface area, formed through coordination bonds between metal ions or clusters and organic ligands. Zeolitic imidazolate framework-L (ZIF-L), a subset of MOFs, is self-assembled from Zn2+ ions and 2-methylimidazole (2-MI) ligands. ZIF-L, through the release of Zn2+ ions, can disrupt bacterial cell membranes, interfere with the intracellular ionic environment balance, and damage bacterial proteins, thereby exerting antibacterial effects. The material itself possesses an intrinsic release system which slowly and persistently releases metal ions, achieving a long-term effective antibacterial effect. Compared with natural and organic antibacterial materials, ZIF-L's inorganic antibacterial properties offer advantages such as high-temperature resistance, strong bactericidal power, long-lasting antibacterial effect, and low bacterial resistance. Moreover, ZIF-L's unique blade-like structure, oriented like a "dagger", can grow vertically on the carrier, providing a physical antibacterial mechanism by the tip destroying attached microorganisms. Further hydrophobic treatment on the antibacterial cotton fabric can create a hydrophobic surface akin to the lotus leaf effect. Hydrophobic self-cleaning surfaces can repel water; water droplets roll away dirt and bacteria during the rolling process, achieving self-cleaning effects.
    This article used a cotton fabric as the base material and prepared two-dimensional leaf-like nanosheet structure ZIF-L using 2-methyl imidazole (2-MI) and zinc chloride (ZnCl2) as raw materials, and loaded it onto the surface of cotton fabric (ZIF-L@cotton) through in-situ growth. Subsequently, the hydrophobicity of the cotton fabric was endowed by vapor deposition of methyltrimethoxysilane (MTMS). The surface morphology and structure of the fabric were characterized by instruments such as field emission scanning electron microscopy, Fourier transform infrared spectroscopy, and X-ray photoelectron spectroscopy. The hydrophilicity and hydrophobicity of the fabric was analyzed by contact angle, and the antibacterial performance of the fabric was evaluated by inhibition zone and antibacterial rate experiments, while the stability of the fabric's performance was tested through multiple washing cycles. Experimental results showed that as the content of 2-MI and reaction time increased, the size and density of ZIF-L increased accordingly. With a molar ratio of 2-MI to ZnCl2 of 7:1 and a reaction time of 3 hours, a ZIF-L@cotton fabric with better morphology was obtained. Both the ZIF-L@cotton fabric and the MTMS/ZIF-L@cotton fabric had good antibacterial effects on E. coli and S. aureus. The ZIF-L@cotton fabric maintained good hydrophilicity, while the MTMS/ZIF-L@cotton fabric showed satisfactory hydrophobicity and self-cleaning properties, and retained stable functional performance after multiple washing cycles. In summary, this study demonstrates that the ZIF-L@cotton fabric and the MTMS/ZIF-L@cotton fabric exhibit good properties and hold broad application prospects in the field of antibacterial textiles.
    Construction of an optimization design model for the warp and weft density of silk-like fabrics
    XIAO Kangqing, ZHOU Jiu
    2025, 33(03):  58-69. 
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    The traditional method of developing silk-like fabrics is the reference method or the trial weaving method. When determining the warp and weft density of the fabric, it is necessary to continuously compare and analyze and try weaving on the machine, which is cumbersome and wastes raw materials. With the rapid development of the silk industry, higher requirements have been put forward for the development and production efficiency of silk products, and the production cost control is more stringent. Through the analysis of the calculation method of the on-machine parameters of the silk fabric, it is found that there are few empirical regression methods and theoretical calculation methods, and the warp and weft density of the fabric is closely related to the tightness of the fabric and the fabric structure. Through the analysis of fabric style and performance influencing factors, it is found that tightness, weave structure, warp and weft density have significant effects on many properties and styles of fabrics. Therefore, the fabric tightness model and the fabric structure model can be used as a breakthrough, and the related parameters of the two models are: tightness, fabric tightness coefficient, fabric density conversion coefficient and fabric tightness index. Combined with the empirical equations of the actual maximum on-machine density of silk-like fabrics, a set of on-machine warp and weft density design models suitable for the actual development of silk-like fabrics can be constructed. Galuszynski proposed that fabrics with the same tightness coefficient have some of the same or very similar mechanical properties. Taking the tightness coefficient proposed by Galuszynski as a fixed value, combined with the ratio of warp density to weft density, the maximum on-machine warp and weft density of the silk-like fabric can be calculated, which can ensure that the silk-like fabric achieves both cost control and similar style and performance to silk fabric. To meet the diversity of fabric development,  the density conversion of different fabric structures can be carried out through the tissue density conversion coefficient of fabric structure after developing a textile that is very similar to the silk-style fabric, so as to develop different series of products. Through the analysis of the fabric structure model, a new tissue density conversion coefficient is reasoned and corrected, and the fabric structure is subjected to more detailed density conversion, so that the results calculated by the model are more accurate and practical. Then, the tightness index, the most comprehensive and integrated index that can reflect the tightness of the fabric, is used to theoretically verify the example of the silk fabric. Combined with this example, the optimization design practice of the warp and weft density of the silk-like fabric on the machine is carried out to verify the application value of the model. The results show that the theoretical formula can calculate the tightness coefficient, the maximum on-machine warp and weft density and the issue density conversion coefficient of the silk fabric, which provides a theoretical formula for the optimal design of on-machine density of the silk fabric. The model can accurately design the on-machine warp and weft density of the silk-like fabric with different raw materials, different structures and different structural phases. It can be widely used in polyester, nylon and various rayon fiber fabrics.
    Hexagonal three-dimensional virtual braiding technology for tubular braiding
    WU Hao, DING Caihong, GU Xin
    2025, 33(03):  70-80. 
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    The hexagonal three-dimensional (3D) braiding machine has become a research hotspot in 3D braiding field because it can carry more yarns and adapt to more flexible braiding process. However, the development of hexagonal 3D braiding technology is less mature at present, and the way to verify the braiding process through physical sample faces the problems of high cost and long development cycle. Therefore, a three-dimensional virtual modeling method of tubular braiding based on two-dimensional(2D) tiled grid model was proposed in this paper, which could be used for rapid verification and development of braiding process. 
    First, the two-dimensional tiled grid model of tubular braiding and its rotation matrix and interweaving matrix were defined, and the corresponding relationship between tiled grid and yarn's interwoven form was established both graphically and numerically. Second, according to the characteristics of braiding machine with regular hexagonal chassis layout, an oblique coordinate system for the hexagonal chassis and a polar coordinate system for the chassis unit were established. Combining with information on braiding process transformations, an iterative formula for the trajectory of the carrier was proposed and used to calculate the xy coordinates of each carrier on the chassis at the same time. Adding the drawing distance of the yarn over the mandrel as z coordinate, the spatial motion position of the yarn in the cartesian coordinate system of the chassis could be obtained. Then the spatial position of the yarn in the cartesian coordinate system of the braiding was obtained by the coordinate system transformation from the chassis' to the braiding's. Third, by expanding the braiding from 3D to 2D along the circumference, the interweaving relationship of yarns on three dimensions was transformed into the intersecting relationship on the plane. By application of the chassis interweaving layer, the interwoven form of each yarn in the crossing segment was obtained by judging the interweaving relationship between the intra-layer and inter-layer interactions of the carrier. Based on the relationship between the switch step angle and the number of yarn's twisting knot, the interwoven form of each in the twisting segment was deduced. Fourth, an example was given to illustrate how the obtained yarn interweaving information was written into the rotational matrix and the interleaving matrix. The two-dimensional tiled grid diagram of that tubular braiding was obtained from the two matrixes and then converted into the 3d model of the braiding by applying Matlab commands. The correctness and effectiveness of the modeling method in this paper were further verified by the same structural comparison between the real and the virtual braiding of the tubular braid. A two-dimensional tiled grid model of tubular braiding was firstly proposed in this paper. And then the following research work was carried out, which mainly included the calculation of yarn motion trajectory, the analysis and judgment of yarn interweaving information, the acquisition of the 2D tiled grid model and its 3D modelling by Matlab. Finally, the correctness and feasibility of the 3D virtual braiding modeling method were verified by example analysis. That can realize the rapid development of hexagonal braiding process.
    Virtual braiding technology has been studied deeply in the field of fixed-track braiding, and some virtual braiding simulation software has been successfully developed, such as Texmind Braider Software and Herzog software. However, the research in the field of hexagonal 3D virtual braiding is relatively immature. The yarn motion model based on oblique-polar coordinate system of the chassis proposed in this paper can be generally adopted in hexagonal 3D virtual braiding modeling, and is beneficial to the development of hexagonal 3D virtual braiding application software.
    Balance optimization of pants' hanging assembly lines based on the heterogeneity of processing time
    JU Yu, WANG Zhaohui, LIANG Zhi, LI Boyi, NI Jiaming
    2025, 33(03):  81-91. 
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    Most research on apparel workshop scheduling assumes that each workstation has the same production load. In reality, during the initial scheduling phase prior to production in apparel manufacturing enterprises, managers indeed consider the production efficiency of each worker to be the same. Although this relaxation model facilitates the ease of constructing of objectives, handling constraints, and improving algorithmic efficiency across various production scenarios, it deviates from reality, resulting in low and unstable actual production line balance rates despite low theoretical production line loss rates. In response to the heterogeneity of workers' processing time, this paper proposes an integrated method based on existing theoretical research, adopting a load coefficient prediction model and the grey wolf optimization (GWO) algorithm to address the imbalance in  trouser-hanging production lines caused by worker differences. The objective is to to minimize the smoothness index (SI) to optimize the overall balance of the hanging line.
    The optimization process comprises two main modules: a neural network-based load coefficient prediction module and a process balancing module based on the GWO algorithm. Prior to prediction, the factors affecting worker efficiency in existing research were expanded to include apparel-specific factors, constructing a framework for workers' processing time heterogeneity factors. In the prediction module, leveraging RFID and IoT technologies, a dataset was constructed from the perspective of personalized influencing factors, focusing on apparel-related factors and some collectible physiological factors. The neural network was trained using Bayesian optimization to achieve optimal parameter settings. The evaluation index MAE of the optimized model in predicting the workstation load coefficient reached 0.091, indicating an acceptable prediction accuracy. 
    With the predicted workstation load coefficients as constraints on workers' processing time, the GWO  algorithm was adopted to optimize the problem model. The optimization results indicated that the GWO algorithm demonstrated superior algorithmic performance and stability. This data-driven, concise, and comprehensive intelligent decision-making model can effectively address the issue of production line balancing caused by varying processing time in garment manufacturing. Post-optimization validation results revealed that the balancing index of workstations decreased from 66.4 to 13.8. Therefore, this model significantly enhances the actual balance rate of the production line.
    This study conducts static scheduling with the load coefficient of the entire order as the prediction target. Dynamic scheduling and static scheduling are not contradictory, and the results can provide a reasonable initial schedule for dynamic scheduling. Additionally, the real-time collection and storage of worker efficiency through RFID and IoT technologies lay the foundation for adopting this model for dynamic scheduling. The neural network prediction function module and optimization module are independent, thus possessing strong generality and integrability, allowing scholars to construct prediction datasets and choose more suitable process balancing optimization algorithms based on the problem's characteristics.
    Visual bibliometric analysis of smart wearable clothing for the elderly
    MAO Dan, XIA Tian, XU Huiya, LI Yiran, WEN Run
    2025, 33(03):  92-101. 
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    This study systematically reviews the literature in the WOS and CNKI databases using bibliometric analysis. The research first cleaned the data to remove duplicate and irrelevant entries, ensuring the accuracy of the dataset. Next, CiteSpace and VOSviewer were used to visualize the data, providing insights into the research landscape, including author collaborations, institutional contributions, and keyword co-occurrence networks. A comprehensive analysis of the development and trends in the field of aging-friendly smart wearable clothing was conducted. With a view to providing a clearer line of research in this area, the study supplemented the existing research framework on intelligent wearable application scenarios for the elderly and performed a Pearson correlation test between the keyword co-occurrence dataset and the extended theoretical framework, which showed a significant positive correlation, indicated that this research is focused on the application field of aging-friendly intelligent wearable clothing.
    Bibliometric analysis indicates that the research output on aging-friendly smart wearable clothing has significantly increased, especially in recent years. Core author groups and leading institutions have been identified, mainly located in China, the United States, and South Korea. Keyword analysis reveals that major research focuses on health monitoring functions, electromagnetic endurance, and fabric sensing technologies. Additionally, emerging research areas emphasize user interaction design and privacy protection technologies. These findings highlight the diversity and interdisciplinary nature of the field, encompassing materials science, electronics, healthcare, and data security. This study supplements the existing research framework on intelligent wearable application scenarios for the elderly by identifying key technology areas and their applications. For example, health monitoring technologies include advanced sensors and data analysis for real-time health monitoring. Positioning and navigation technologies utilize Bluetooth, WiFi, and RFID for precise indoor positioning. Integrating flexible fiber optic sensors into fabrics enhances comfort and functionality, while low-power electronic components ensure long-term use of the devices. Data security and privacy protection are crucial for safeguarding sensitive health information, requiring robust encryption methods.
    The research on aging-friendly smart wearable clothing is driven by the urgent needs of the aging population and has made significant progress. This field demonstrates tremendous innovative potential in improving the quality of life for the elderly through advanced technology. Future research should focus on strengthening interdisciplinary collaboration, leveraging big data and artificial intelligence to enhance user experience, and meeting the specific needs of the elderly. It is necessary to enhance international cooperation to promote the development of aging-friendly smart wearable solutions, so as to ultimately create a more inclusive and supportive society for the elderly.
    Preparation and performance of strain-sensing smart gloves
    ZHANG Xinyu, YIN Xia, GAO Shouwu, ZHOU Chuanli, CHEN Fuxing, TIAN Mingwei
    2025, 33(03):  102-109. 
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    To develop a full-textile smart data glove for gesture recognition, intarsia plating technology and knitted full-forming technology were used to seamlessly introduce flexible strain sensors into the finger joints. Therefore, a flexible knitted strain sensor was successfully developed and applied to the preparation of fully fashioned smart gloves. 
    Firstly, the flexible strain sensor was developed by using intarsia plating technology. The sensor was characterized in detail, including surface morphology, air permeability, sensitivity, response time, strain monitoring range, cyclic stability and water washing resistance. The sensitivity factor depends on the stretching direction. Results showed that the sensitivity of longitudinal (along the wales) stretching was much higher than that of transverse (along the courses) stretching. Therefore, the performance testing of the knitted sensor and the developed smart gloves imbedded with these sensors were all based on the longitudinal stretching mode. The measured sensitivity coefficient of the knitted strain sensor ranged from 13 to 90 within 30% strain, the response time was less than 50 ms, and it still maintained a relatively stable resistance after 8,000 cycles of stretching, showing good sensing performance. The testing results confirmed the ability of the sensor to capture strain signals in real time. In addition, the sensor also retained good breathability and wearing comfort of conventional fabric gloves. 
    Then, the fully fashioned strain-sensing glove was developed by using knitted full-forming technology. Ten knitted sensors, which were located at 10 finger joints of five fingers, were incorporated. As for the preparation of smart gloves, advanced CAD design and a computerized flatbed knitting machine were adopted. The sensors reflect the bending state of the finger. Through the data acquisition and transmission system, the prepared knitted strain-sensing glove can accurately capture and distinguish hand movements in real time, so as to achieve dynamic gesture monitoring. In terms of hand function training for gesture recognition, the sensor glove shows excellent sensing ability to accurately capture small changes in hand movements. Therefore, by real-time monitoring of hand movement speed and finger curvature, this smart glove can serve as a rehabilitation training tool for patients with hand movement disorders. By collecting samples of different hand gestures and aided by the machine learning algorithm, an efficient gesture recognition model was built, which achieved the average recognition accuracy of 99.5% in the actual test.
    The smart sensing gloves can effectively realize gesture recognition and be used in scenarios such as hand function training and human-computer interaction. It has broad application prospects in fields such as rehabilitation medicine and leisure and entertainment. In the future, with the flexibility of knitting technology and the diversity of knitting structures, fully fashioned knitted sensor devices such as smart knee pads and smart elbow pads can also be made, which have broad application prospects in rehabilitation medicine and sports.
    Preparation of conductive liquid micro-leakage localization fabrics and design of a detection system
    XU Shuai, YANG Xiaofang, MAO Lei, GENG Nannan
    2025, 33(03):  110-119. 
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     Conductive liquids are generally easy to detect due to their conductivity. However, sensors arranged at a single point can only be effective when a large volume of liquid flows through, often failing to detect micro-leaks in a timely manner. Liquid leak sensing cables extend leak detection from a point to a line, but they still require a substantial amount of liquid to flow through the cable to trigger an alert. Existing smart fabrics further extend leak detection from lines to planes, enabling real-time detection of micro-leaks of conductive liquids as low as a single drop (0.05 mL). Despite this advancement, they cannot provide feedback on the location of the leak. For detecting the location of leaks, there are two primary methods: continuous localization and zonal localization. Although the accuracy of zonal localization is lower than that of continuous localization, in practical use, it is a low-cost and practical solution to first identify the area where the micro-leak is located (usually with meter-level accuracy) and then manually conduct further detection and handling. The main challenge of zonal localization is to achieve more zoning with as few output wires as possible. 
    This paper designs a smart fabric for detecting and locating conductive liquid micro-leak. The fabric features 2n conductive warp yarns along its edges, each warp yarn making contact with the densely arranged conductive weft yarns on the fabric. The warp yarns are further interwoven to form n2 detection combinations, corresponding to n2 regions along the warp direction of the fabric. By scanning the on/off status of these detection combinations, the location of the leak can be identified. The number of regions formed by these warp cross-combinations, which is n2, is significantly greater than the 2n-1 regions formed by conventional combinations. In this study, a smart fabric with six conductive warp yarns was prototyped. Slices of the fabric were prepared for structural observation, and a dedicated circuit was set up for electrical testing. A drip test was conducted to verify the localization function, and a specialized detection system was developed for trial use. The slice observations reveal that the double warp structure can achieve both isolation and contact between warp and weft yarns, ensuring electrical insulation and conduction. Testing of the circuit demonstrates the repeatability and reliability of the double warp structure, meeting the needs for constructing numerous detection combinations and supporting large-scale production. Functional verification tests of the fabric's locating detection show that the prototype fabric, using 3+3=6 warp yarns, can achieve zonal localization for 3²=9 zones. When paired with a detection system equipped with automatic selection and conduction identification functions, the fabric can monitor micro-leaks in real time and feedback the location of the leak occurrence.
    Due to the square-increasing relationship between the number of zones and half the number of warp yarns, expanding the aforementioned 6 conductive warp yarns can enable the fabric to feedback the exact location of leaks with meter-level accuracy within a range of tens to hundreds of meters. However, the current application range of this fabric is relatively narrow. Future research will focus on integrating it with other materials, such as embedding it into concrete, pipelines, large containers, etc., to expand its usage. 
    Deformation properties of wearable woven fabrics based on nickel-titanium alloy wires
    WANG Yang, HU Kaining, ZHANG Changhuan
    2025, 33(03):  118-125. 
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    The rapid development of smart wearable technology has driven the growth in demand for smart clothing fabrics. These fabrics need to have good intelligent deformation properties. At present, the realization of this function mainly relies on inflatable structures or deformation components, of which deformation components are divided into two categories: mechanical alloys and shape memory alloys. Mechanical deformation components have strong visual effects and are suitable for decorative clothing, but affect comfort; while shape memory alloy materials have little impact on comfort, but require high weaving techniques. For woven fabrics based on nickel-titanium memory alloy wires, the parameters of the nickel-titanium alloy wires, the fabric structure, the type of yarn used, and the weaving density all affect the deformation properties of the fabric. In recent years, there have been relatively little research on woven deformable fabrics based on shape memory alloy materials for apparel applications.
    This paper used nickel-titanium memory alloy wires as local weft yarn to weave 13 types of woven fabrics for apparel. It studied the impact of fabric structure, nickel-titanium alloy wire diameter, and yarn materials on the deformation time, deformation degree, and deformation recovery of the fabrics. Results of the research on the deformation time of samples indicated the following: the longer the float line of the nickel-titanium alloy wire, the greater the ratio of nickel-titanium alloy wire diameter to yarn diameter, the higher the elasticity or smoothness of the yarn, and the shorter the deformation time of the sample. Results of the research on the deformation degree indicated the following: the longer the float line of the nickel-titanium alloy wire, the higher the elasticity or smoothness of the yarn, and the greater the degree of deformation of the sample. For the test of the deformation recovery of the sample, the results were as follows: the longer the float line of the nickel-titanium alloy wire, the higher the elasticity of the yarn, and the better the deformation recovery of the sample.
    The study draws the following conclusions: the more weft structure points in the complete fabric, that is, the longer the float line of the nickel-titanium alloy wire, the fabric exhibits shorter deformation time, greater deformation degree, and better recovery. When the float line of the fabric increases to a certain extent, the deformation property of the fabric tends to stabilize. The larger the ratio of the diameter of the nickel-titanium alloy wire to the diameter of the yarn, the fabric exhibits shorter deformation time, greater deformation degree, and better recovery. When the ratio of the diameter of the nickel-titanium alloy wire to the yarn diameter increases to a certain extent, the deformation property of the fabric tends to stabilize. Yarn materials with elasticity and smooth surface are more conducive to improving the deformation property of woven fabrics for apparel.