Subjects -> TEXTILE INDUSTRIES AND FABRICS (Total: 41 journals)
    - CLOTHING TECHNOLOGY AND TRADE (6 journals)
    - TEXTILE INDUSTRIES AND FABRICS (35 journals)

TEXTILE INDUSTRIES AND FABRICS (35 journals)

Showing 1 - 16 of 16 Journals sorted alphabetically
AATCC Journal of Research     Full-text available via subscription   (Followers: 13)
AATCC Review     Full-text available via subscription   (Followers: 4)
Achiote.com - Revista Eletrônica de Moda     Open Access  
Asian Journal of Textile     Open Access   (Followers: 14)
Autex Research Journal     Open Access   (Followers: 4)
Cerâmica     Open Access   (Followers: 6)
Composites Science and Technology     Hybrid Journal   (Followers: 245)
Fashion and Textiles     Open Access   (Followers: 20)
Fashion Practice : The Journal of Design, Creative Process & the Fashion     Hybrid Journal   (Followers: 15)
Fibers     Open Access   (Followers: 8)
Fibre Chemistry     Hybrid Journal   (Followers: 4)
Focus on Pigments     Full-text available via subscription   (Followers: 4)
Geosynthetics International     Hybrid Journal   (Followers: 5)
Geotextiles and Geomembranes     Hybrid Journal   (Followers: 6)
Indian Journal of Fibre & Textile Research (IJFTR)     Open Access   (Followers: 15)
International Journal of Fashion Design, Technology and Education     Hybrid Journal   (Followers: 17)
International Journal of Textile Science     Open Access   (Followers: 15)
Journal of Engineered Fibers and Fabrics     Open Access   (Followers: 3)
Journal of Fashion Technology & Textile Engineering     Hybrid Journal   (Followers: 10)
Journal of Industrial Textiles     Hybrid Journal   (Followers: 6)
Journal of Leather Science and Engineering     Open Access   (Followers: 1)
Journal of Natural Fibers     Hybrid Journal   (Followers: 7)
Journal of Textile Design Research and Practice     Full-text available via subscription   (Followers: 7)
Journal of Textile Science & Engineering     Open Access   (Followers: 6)
Journal of The Institution of Engineers (India) : Series E     Hybrid Journal   (Followers: 2)
Journal of the Textile Institute     Hybrid Journal   (Followers: 12)
Research Journal of Textile and Apparel     Full-text available via subscription   (Followers: 1)
Text and Performance Quarterly     Hybrid Journal   (Followers: 5)
Textile History     Hybrid Journal   (Followers: 21)
Textile Progress     Hybrid Journal   (Followers: 6)
Textile Research Journal     Hybrid Journal   (Followers: 14)
Textiles and Clothing Sustainability     Open Access   (Followers: 4)
Textiles and Light Industrial Science and Technology     Open Access   (Followers: 5)
Third Text     Hybrid Journal   (Followers: 11)
Wearables     Open Access   (Followers: 2)
Similar Journals
Journal Cover
Journal of Engineered Fibers and Fabrics
Number of Followers: 3  

  This is an Open Access Journal Open Access journal
ISSN (Online) 1558-9250
Published by Sage Publications Homepage  [1166 journals]
  • 3-D dynamic simulation of knitwear based on the hybrid model

    • Authors: Sha Sha, Wantong Wei, Bowen Xiao, Di Sha, Yuqin Gao, Ruiqi Cao, Xuewei Jiang, Zhongmin Deng, Hui Tao, Xinrong Hu, Lei Luo, Bin Li, Xiaohong Yuan
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      Due to the effect of force and deformation of fancy stitches, the simulation of knitwear is facing a great challenges of the real-time. In this paper, the physical-geometric hybrid method is applied to reduce the amount of calculation during the simulation of knitwear. Discretized Newton’s Method is used to analyze the gap between dynamic knitwear-human body and the knitwear model, and then the knitwear model is further divided into different regions. A three-dimensional (3-D) mesh for knitwear is constructed by the application of adaptive remeshing. This makes it possible to refine the mesh at the parts that need the presentation of fabric surface details. Simultaneously, it can merge the adjacent patches at parts without the requirement of showing the details, and form a large 3-D patch. In the light of regional division, the 3-D knitwear model is divided into the tight layer, floating layer, and loose layer. In addition, the geometric loop model based on the cuboid particle system is employed to simulate the real force of loops and knitwear for tight layer and loose layer. Near-rigid deformation method is also applied into the floating layer to improve simulation efficiency. In conclusion, the corresponding processing method is performed with different computational models, which brings the dynamic simulation effect of knitwear with realistic and real-time.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-10-13T06:58:04Z
      DOI: 10.1177/15589250211051589
      Issue No: Vol. 16 (2021)
       
  • Polyacrylonitrile (PAN) nanofiber mats for mushroom mycelium growth
           investigations and formation of mycelium-reinforced nanocomposites

    • Authors: Marah Trabelsi, Al Mamun, Michaela Klöcker, Bennet Brockhagen, Franziska Kinzel, Dato Kapanadze, Lilia Sabantina
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      Mycelium-bound composites are new environmentally friendly, cost-effective and sustainable materials, enable energy-saving bio-composite fabrication, and provide an alternative to synthetic materials. Current research on mycelium-based composites reports on relatively coarse material compositions such as rice husks, cotton residues, sawdust, leaves and bio-waste, etc. According to research, very few publications report on mycelium-reinforced composites with the use of nanomaterials and this topic is under-researched and this study helps to fill this gap. The focus of this study deals with the preparation of mycelium-reinforced nanocomposites including nanofiber mats and the investigation of the different nanofiber mat morphologies on the growth of fungal mycelium. The mycelium macrofibers from Pleurotus ostreatus fungi were grown on polyacrylonitrile (PAN) nanofiber mats. Different morphologies of nanofiber mats such as fibrous and non-fibrous membrane areas or a mixture of both were used for mycelial growth with an additional nutrient. Moreover, mycelium/PAN nanocomposites were oxidative stabilized and carbonized and mycelium retains its morphology. For faster color differentiation between mycelium and nanofibers, PAN nanofiber mats were dyed in a one-step process by adding dye powder to the electrospinning solution as an additional tool. No significant differences in mycelial growth and morphology were observed regarding the different nanofiber mat types and the use of dye. These mycelium-reinforced nanocomposites are promising for many applications such as medicine and biotechnology, air and water purification and filtration, vertical farming, architecture, etc., and enable energy-saving bio-composite fabrication.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-09-30T12:59:08Z
      DOI: 10.1177/15589250211037982
      Issue No: Vol. 16 (2021)
       
  • Diameter and strength of Ethiopian pure and cross-breed sheep wool fibers

    • Authors: Dereje Berihun Sitotaw, Addisu Ferede Tesema, Adane Haile Woldemariam
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      The wool fibers fineness and strength have a remarkable role to determine the quality of yarn and the subsequent fabrics. The fineness property of the wool fibers is a crucially important fiber property for grading, classifying, selecting for particular applications such as for suit, blanket, shirt, carpet, and so on. The fineness and strength properties of four indigenous (Menz, Wollo, Farta, Tikur), three exotic (Awasi, Dorper, Corrediale), and four cross-breed (50% Dorper, 50% Awasi, 75% Awsi, Washera/Awasi) sheep wool fibers from the four main body parts (sides, neck, back, and belly) at six teeth removed age of 11 different sheep breeds have been investigated. The samples of wool fibers have been conditioned for 24 h at 20ºC ± 1ºC temperature and 65% ± 2% relative humidity. The specimen for sampling has been determined based on ASTM D2130-01. The results revealed that the fineness and strength of whole fibers taken from different parts of sample sheep varied significantly within the breed and among the breeds. The result revealed that the strength and fineness of the wool fibers have a positive correlation and Ethiopian sheep wool fiber is suitable for numerous types of classical and technical applications.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-09-30T05:18:41Z
      DOI: 10.1177/15589250211046931
      Issue No: Vol. 16 (2021)
       
  • Three-dimensional analysis model of electric heating fabrics considering
           the skin metabolism

    • Authors: Xiao Li, Bo Kuai, Xikai Tu, Jiahao Tan, Xuan Zhou
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      In low temperature environment, electric heating clothing can provide extra heat for human body through built-in heat source, so it has better thermal insulation effect. The thermal analysis is the initial step for electric heating clothing design. The current thermal analysis of electric heating textiles focuses on the fabric itself instead of the effect of skin tissue metabolism and heat production. In order to improve the accuracy of skin surface temperature prediction, the biological heat transfer need be modeled to analyze the internal temperature distribution of the heating suit system. In this paper, a three-dimensional (3D) thermal analysis model of electric heating clothing combined with human skin tissue is established. Firstly, the coupling analysis of Fourier heat conduction and Pennes biological heat transfer equation is carried out. Then the reliability of the 3D thermal analysis model is verified by finite element analysis (FEA). The results show that the fitting error between the three-dimensional model analysis data and FEA simulation data is 5°C, which proves that the model can accurately predict the system temperature. Finally, we make further research about the effects of ambient temperature, clothing layer thickness, and input power on the maximum skin surface temperature. This study provides theoretical foundation for the design of wearable thermal management fabric.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-09-30T01:32:30Z
      DOI: 10.1177/15589250211047980
      Issue No: Vol. 16 (2021)
       
  • A review of the green synthesis of ZnO nanoparticles using plant extracts
           and their prospects for application in antibacterial textiles

    • Authors: Jun Xu, Yubo Huang, Shihui Zhu, Nedra Abbes, Xiaoning Jing, Liang Zhang
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      In an era of environmentally friendly development, methods of the green synthesis of zinc oxide nanoparticles (ZnO NPs) from plant extracts have become a focus of research attention because of the benefits of environmental sustainability, simplicity, and low price. The present review introduces a green mechanism for the synthesis of ZnO NPs using the extracts of plants, exploring factors that influence the morphology of ZnO NPs and their antibacterial properties, and the mechanisms of antibacterial action. The results indicate that the factors that influence morphology include the intrinsic crystallographic morphological properties and conditions of the preparation of ZnO NPs. In terms of preparation conditions, the influence of plant extract concentration, precursor concentration, reaction time, and calcination temperature on NP morphology is related to the species of plants used, with precursor concentration the most significant factor affecting the morphology of ZnO NPs. A pH of 12 appears be the most appropriate alkalinity for the synthesis of ZnO NPs from plant extracts. In addition, the synthesized ZnO NPs display excellent antibacterial properties, the mechanism of which involves photocatalysis, reactive oxygen species, and interactions between ZnO NPs and bacterial surfaces. Factors influencing the antibacterial properties are the type of bacteria and the concentration and morphology of ZnO NPs. Finally, the methods of preparation of antibacterial textiles using synthetic ZnO NPs are discussed in relation to the preparation of antibacterial fibers, fabric, and composite textiles. Here, the future trend of such antibacterial textiles is considered, providing the direction for further research of antibacterial textiles.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-09-14T09:35:53Z
      DOI: 10.1177/15589250211046242
      Issue No: Vol. 16 (2021)
       
  • A validation study on the thermal simulation of the human
           body-clothing-environment system through wear trials

    • Authors: Muhammad Awais, Sybille Krzywinski, Bianca-Michaela Wölfling, Edith Classen
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      The following analysis deals with the validation study for the already published thermal simulation of the human body-clothing-environment system through wear trials. Three test persons and a clothing system were selected for this study. The simulation process chain includes 3D scanning, clothing fit considering the deformation properties of fabrics, 3D analysis of air gaps between skin and clothing, and thermophysiological analysis of the human body taking into account different metabolic rates. Moreover, subjective wear trials were performed in a climatic chamber to validate the simulation results. The results show good validation for the core body and mean skin temperature, however, discrepancies were observed on comparing the local skin temperatures. The presented simulation approach offers a holistic solution for product development in the areas of sportswear, workwear, outdoor, and protective clothing.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-09-07T05:00:07Z
      DOI: 10.1177/15589250211041361
      Issue No: Vol. 16 (2021)
       
  • Sound absorbing and insulating properties of natural fiber hybrid
           composites using sugarcane bagasse and bamboo charcoal

    • Authors: Santhanam Sakthivel, Selvaraj Senthil Kumar, Eshetu Solomon, Gedamnesh Getahun, Yohaness Admassu, Meseret Bogale, Mekdes Gedilu, Alemu Aduna, Fasika Abedom
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      This research paper reports a study on thermal and sound insulation samples developed from sugarcane bagasse and bamboo charcoal for automotive industry applications. The sugarcane bagasse and bamboo charcoal fiber is a potential source of raw material that can be considered for thermal and sound insulation applications. Natural fibers are commonly used in diverse applications and one of the most important applications is sound absorption. Natural fiber hybrid composite currently is in greater demand in industries because of their advantages such as low cost, biodegradability, acceptable physical properties, and so on. Eco-friendly sound-absorbing composite materials have been developed using bamboo charcoal and sugarcane bagasse fibers. From these fibers five types of natural fiber green composite were developed using the compression bonding technique. The natural composite noise control performance contributes to its wider adoption as sound absorbers. The sound absorption coefficient was measured according to ASTM E 1050 by the Impedance tube method. The physical properties of natural fiber composites such as thickness, density, porosity, air permeability, and thermal conductivity were analyzed for all samples in accordance with ASTM Standard. The result exposed that natural fiber green composite were absorbing the sound resistance of more than 70% and the natural fibers composites provide the best acoustic absorption properties, these composite materials have adequate moisture resistance at high humidity conditions without affecting the insulation and acoustic properties.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-09-07T04:58:34Z
      DOI: 10.1177/15589250211044818
      Issue No: Vol. 16 (2021)
       
  • Differential surface characterizations of cotton fibers coated with TiO2
           and ZnO nanoparticles for nano-based analysis of fabrics

    • Authors: Parshuram Singh, Sapna Balayan, Rajendra Kumar Sarin, Utkarsh Jain
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      Fibers are the unit component for product development. They can be divided into two types: synthetic and natural fibers. Recently, emerging nanotechnology has played a vital role in advancing next-generation fabrics. The nanomaterials provide several unique properties such as higher conductivity, self-cleaning, water-resistant, and others. Owing to their advanced properties, the fabrics are being developed by coating and integrating with nanomaterials. Therefore, in the presented work two cotton samples were modified with titanium dioxide (TiO2) and zinc oxide (ZnO). These samples were further examined under various techniques including scanning electron microscopy (SEM), UV-visible spectroscopy, X-ray fluorescence (XRF), and Fourier-transform infrared spectroscopy (FTIR). Furthermore, these samples were evaluated at varying wavelengths with UV light and the obtained results demonstrated that the nano-coated fiber samples can be differentiated at 365 nm.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-09-01T12:03:01Z
      DOI: 10.1177/15589250211043833
      Issue No: Vol. 16 (2021)
       
  • Interfacial performance and impact resistance of argon plasma treated
           UHMWPE/STF inter-ply hybrid composites

    • Authors: Zixuan Liu, Keyi Wang, Huchen Wang, Letian Li, Huan Chen, Xingyu Gao, Ruosi Yan
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      This study explored the influence of low temperature glow discharged argon (Ar) plasma on interfacial performance and impact resistance of ultra-high molecular weight polyethylene (UHMWPE) inter-ply hybrid composites. The composites were composed of UHMWPE and meta-aramid plain woven laminates with shear thickening fluid (STF). Water contact angle and drop-weight resistance of the composites with various Ar plasma treatment parameters were tested to investigate the interfacial performance and impact properties of the composites. The tested treatment parameters of this study included treating time, treating power, and gas flow rate. It was found that the best interfacial adhesion of UHMWPE and the impact resistance of the composites was realized at the plasma treatment power of 100 W, treatment time of 150 s, and gas flow rate of 4 sccm. In the follow-up research, this study conducted ballistic test to further explore the bulletproof effect and application prospect of this material.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-09-01T12:02:03Z
      DOI: 10.1177/15589250211043832
      Issue No: Vol. 16 (2021)
       
  • Robot trajectory optimization control of braiding for three-dimensional
           complex preforms

    • Authors: Xinfu Chi, Qiyang Li, Hongxia Yan, Sun Yize
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      The quality of composite preform has great influence on its mechanical properties. Aiming at the problems of difficulty in robot teaching and unstable braiding angle in the process of braiding three-dimensional complex component, a control method of robot is proposed. Firstly, the mandrel is discretized to ensure that the axis of each discrete mandrel is perpendicular to the braiding point plane, and the orientation and direction of the tool center are calculated. Then, the take-up speed of the robot is calculated, so that the self-adjustment of the braiding angle can be realized in the braiding process. The experimental results show that the control method can effectively reduce the braiding angle error of variable cross-section mandrel within 2°, and can improve the quality of composite products in actual production.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-08-31T10:32:46Z
      DOI: 10.1177/15589250211043226
      Issue No: Vol. 16 (2021)
       
  • Kenaf fibers reinforced unsaturated polyester composites: A review

    • Authors: Reza Arjmandi, Ilknur Yıldırım, Fiona Hatton, Azman Hassan, Christopher Jefferies, Zurina Mohamad, Norhayani Othman
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      Recently development of high-performance polymer composites made from natural resources in the various sectors is increasing tremendously due to the environmental issues and health hazard possessed by the synthetic fibers during disposal and manufacturing. Among the many different types of natural resources, kenaf fibers have been extensively investigated as an alternative reinforcement for polymer composites over the past few years due to their low cost, good mechanical properties, high specific strength, nonabrasive, eco-friendly, and biodegradability characteristics. Kenaf is regarded as an industrial crop in Malaysia and grown commercially in other parts of the world for different applications. It is certainly one of the important plants cultivated for natural fibers globally which has great potential to use as automotive and construction materials. In many research studies, kenaf fibers have been used as reinforcement in unsaturated polyester (UPE) which perfectly improved the features of the polyester resin. The tensile properties of kenaf fiber reinforced UPE are mainly influenced by the interfacial adhesion between the fibers and the polyester resin. Several chemical modifications are employed to improve the interfacial bonding between kenaf fibers and polyester, resulting in the enhancement of mechanical properties of the composites. Therefore, this paper explores and highlights of the previous studies around kenaf fiber reinforced UPE composites, in terms of processing methods, mechanical, water absorption, and morphological properties to provide a perfect source of literature for doing further research in this topic.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-08-16T09:36:30Z
      DOI: 10.1177/15589250211040184
      Issue No: Vol. 16 (2021)
       
  • Prediction of yarn unevenness based on BMNN

    • Authors: Hao Jiang, Jiuxiang Song, Baowei Zhang, Suna Zhao, Yonghua Wang
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      With the continuous development of deep learning, due to the complexity of the deep neural network structure and the limitation of training time, some scholars have proposed broad learning, the Broad Learning System (BLS). However, BLS currently only verifies that it has excellent effects on some of the network training data sets, and it does not necessarily have excellent effects on some actual data sets. In response to this, this paper uses the effect of BLS in predicting the unevenness of yarn quality in the yarn data set, and proposes a BLS-based multi-layer neural network (MNN) for the problems, which is called Broad Multilayer Neural Network (BMNN).
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-08-12T10:14:11Z
      DOI: 10.1177/15589250211037978
      Issue No: Vol. 16 (2021)
       
  • Modeling method of irregular cross section annular axis braided preform
           based on finite element simulation

    • Authors: Xi Wang, Guoli Zhang, Xiaoping Shi, Ce Zhang
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      The irregular cross section annular axis braided preform is modeled by using finite element simulation instead of geometric modeling. The braiding process is simulated by using a finite element software to obtain the yarn path. And the braided preform is modeled by using nine virtual fibers to form irregular cross section shape of yarn. Meanwhile, a modified vertical braiding machine is used to braid the actual preform, to compare with results from the simulation model. The results show that the simulation model is consistent with the actual braided preform, braiding angle is about 36°, and yarn spacing is about 6 mm. The finite element method can predict the yarn path more accurately without the need of complex analysis and derivation, especially when the irregular mandrel is used for braiding. In addition, the cross-section shape of yarn composed of virtual fibers can be used to achieve a more realistic simulation result. FEM is an efficient simulation method, and can also provide an effective basis in studies of the actual cross-sectional shape of yarn and the properties of its composite reinforcements.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-07-31T11:30:44Z
      DOI: 10.1177/15589250211037243
      Issue No: Vol. 16 (2021)
       
  • Flexural behavior analysis of composites with triaxial woven fabric as
           reinforcement

    • Authors: Yunfei Rao, Chen Zhang, Zhe Li, Qianqian Li, Honghua Zhang, Wei Li
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      The triaxial woven fabric is known for their light weight and isotropy of mechanical properties. However, researches that using it as reinforcement to form different structural composites were rarely mentioned. Here, we found that the effect of the triaxial woven fabric can be almost equivalent to the unidirectional fabric in flexural strength (99.18%) when it was added as a reinforcing material into the unidirectional fabric composites even though the weight of triaxial woven fabric has only a third of unidirectional fabric. Moreover, the effects and mechanisms are quite different when changing the position of the triaxial woven fabric in the composites. The damage modes of composites when triaxial woven fabric in different stacking sequences were summarized and the resin blocks model from triaxial woven fabric composites was presented in this paper.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-07-22T05:30:01Z
      DOI: 10.1177/15589250211032324
      Issue No: Vol. 16 (2021)
       
  • Thermal and breathability management of microencapsulated phase change
           material (MPCM) incorporated jute fabric

    • Authors: Abdus Shahid, Solaiman Miah, Abdur Rahim
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      Jute bags are widely used to carry food grains and other materials that may be prone to quality deterioration due to thermal fluctuation. Thermal and moisture properties play a significant role in the packaging materials in the form of a container. This study deals with the effect of microencapsulated phase change material (MPCM) with hydrophobic binder on thermal and moisture management properties of jute fabric. Jute fabric was treated with MPCM by pad-dry-cure method. The treated sample was characterized by thermogravimetric analysis (TGA), differential scanning colorimeter (DSC), scanning electron microscope (SEM), moisture management tester (MMT), and air permeability tester. The results revealed that MPCM treated jute fabric shows greater thermal stability and heat absorption ability of 10.58 J/g while changing from solid to liquid phase. The SEM image ensures even distribution of MPCMs on fabric surface and surface roughness was also observed using image processing software. The air permeability was found to decrease whereas the water repellency enhanced in the developed sample.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-07-09T10:57:22Z
      DOI: 10.1177/15589250211029564
      Issue No: Vol. 16 (2021)
       
  • Calculation and evaluation of industrial carbon footprint of cotton denim
           jacket

    • Authors: Yu Cheng, Hui-e Liang
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      Carbon footprint (CFP) reflects the greenhouse gases (GHGs) produced by human activities or products throughout the life cycle, which is an important tool for assessing and managing greenhouse gas pollution. The reduction of Carbon footprint is an important topic today, and each of us needs to minimize our CFP in order to protect our planet. In this paper, the basic cotton denim jackets was played an research object roles to exploring the impact on the environment during the process of producing cotton denim jackets. Which based on the theory of industrial carbon footprint and combing with the production process chain of denim jackets, setting the accounting boundaries and functional units, the denim jacket can be divided into cutting, sewing, and finishing the three links in industrial production of carbon footprint. With the calculation and analyzation industrial carbon footprint of the denim jacket. The results show that the carbon footprint of denim jackets exceeds 1000 kg CO2 during the cycle from cutting to sewing and finishing. The largest carbon footprint is generated in the sewing process, which are about twice as high as the cutting process. The carbon footprint emissions of each piece of denim jacket is 1.75 kg CO2. Therefore, optimizing the production line in the sewing process, adopting high energy-efficient processing equipment and clean energy can better reduce the industrial carbon footprint of denim clothing. It also provided reference and basis for the supervision and evaluation of carbon emission by clothing manufacturers
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-06-27T07:17:35Z
      DOI: 10.1177/15589250211020387
      Issue No: Vol. 16 (2021)
       
  • Life cycle analysis for green composites: A review of literature including
           considerations for local and global agricultural use

    • Authors: Ahmed Samir Ead, Raelynn Appel, Nibin Alex, Cagri Ayranci, Jason P Carey
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      Increasing concerns regarding human-driven effects on the biosphere have led to the development and adoption of environmentally friendly “green” composites. Unlike conventional synthetic composites, green composites are made of natural materials in either the matrix or the fiber reinforcement (or both). They are claimed to have lower negative environmental effects due to their sustainability and easier recyclability. To assess the environmental impacts associated with any product, a life cycle assessment (LCA) is needed. This literature review summarizes the individual steps undertaken in an LCA study and discusses their relevance within the field of green composites. Similarly, an outline of life cycle costing (LCC), a type of study which determines the economic implications of a product, is incorporated. Since some phases of a product’s life cycle can have significant environmental effects, parameters affecting the time-dependant degradation of green composites and their significance in LCA studies were also explored. Finally, criteria for choosing natural fibers and biopolymers for green composites in engineering applications were considered, and case studies of hemp and flax as candidates for fiber cultivation in Alberta, Canada are provided throughout.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-06-27T07:16:18Z
      DOI: 10.1177/15589250211026940
      Issue No: Vol. 16 (2021)
       
  • Antibacterial and ultraviolet protective neodymium-doped TiO2 film coated
           on polypropylene nonwoven fabric via a sputtering method

    • Authors: Mei-Lin Huang, Ying-Zhu Wu, Fei Fan, Sheng-Guo Lu, Bao-Shan Luo, Yong-Hong Li
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      A neodymium-doped titanium dioxide film was coated on polypropylene nonwoven fabric via a magnetron sputtering method to prepare multifunctional textiles with antibacterial and ultraviolet protective properties. The antibacterial property of the single-layer titanium dioxide film coated sample was better than that of the single-layer neodymium film coated sample. And that of the three-layer film coated samples was better than that of the double-layer film coated samples, which the latter also was superior to that of the single-layer film coated samples. A longer deposition time of the titanium dioxide film increased the antibacterial rate. The hydrophilicity of the coated samples was improved by ultraviolet irradiation, which improves the catalytic antibacterial ability. The ultraviolet protective factor of the sample that absorbs more ultraviolet is higher, and the water contact angle after ultraviolet irradiation decreases. This improves antibacterial performance. A titanium dioxide film doped with neodymium was improved without any significant change to the morphology and luster of the samples. This can lead to further applications of the coated polypropylene non-woven fabric with good antibacterial properties.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-06-09T12:07:00Z
      DOI: 10.1177/15589250211025257
      Issue No: Vol. 16 (2021)
       
  • Test and analysis of the porosity of cotton fiber assembly

    • Authors: Li Yong, Li Jian, Liu Xian, Wu Bei
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      Porosity is one of the most important properties of textile materials that ensures their comfort and usability. The internal pore structure of the cotton fiber assembly is complex and changeable, surface pore is difficult to explain its pore structure. It is intended to develop a method to predict the pore morphology of cotton fiber assembly. Pore image of the multi-layer fiber assembly is collected by a fiber photography instrument, used the Image Pro Plus 6.0 software to analyze, and obtained the white area indicators of image which can be applied to describe void space of fiber assembly. Using multiple linear regression analysis method, the regression equation of the white area index of image and porosity index of cotton fiber assembly is established. The results indicate that the white area index can largely be explained by three pore index namely the porosity ε, mean length of fiber between the adjacent contacts B and fiber tortuosity coefficient. Appropriate regression equations can be formulated for the pore of white area index which can aid in predicting the pore texture. Comparing the data indicators, it is found that mean length of fiber between the adjacent contacts B and the porosity ε, fiber tortuosity coefficient τ, and air permeability q have good linear correlation.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-06-08T01:21:00Z
      DOI: 10.1177/15589250211024225
      Issue No: Vol. 16 (2021)
       
  • Cost optimization of sodium hypochlorite bleaching washing for denim by
           combining ensemble of surrogates with particle swarm optimization

    • Authors: Jie Xu, Feng Liu, Zhenglei He, Zongao Zhang, Sheng Li
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      Sodium hypochlorite bleaching washing process has been broadly carried out in denim garment industrial production. However, the quantitative relationships between process variables and bleaching performances have not been illustrated explicitly. Hence, it is impractical to determine values of the variables that can achieve the optimal production cost while satisfying the requirements of customers. This paper proposes an optimization methodology by combining ensemble of surrogates (ESs) with particle swarm optimization (PSO) to optimize production cost of chlorine bleaching for denim. The methodology starts from the data collections by conducting a Taguchi L25 (56) orthogonal experiment with the process variables and metrics for evaluating bleaching performances. Based on the data, the quantitative relationships are separately constructed by using RBFNN, SVR, RF and ensemble of them. Then, accuracies of the surrogates are evaluated and it proves that the ESs outperforms the others. Later, the production cost optimization model is proposed and PSO is utilized to solve it, while a case study is given to depict the optimization process and verify the effectiveness of the proposed hybrid ESs-PSO approach. Overall, the ESs-PSO approach shows great capability of optimizing production cost of sodium hypochlorite bleaching washing for denim.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-05-31T07:55:24Z
      DOI: 10.1177/15589250211022331
      Issue No: Vol. 16 (2021)
       
  • Investigation of interactions between fabric performance, sewing process
           parameters and seam pucker of shirt fabric

    • Authors: Daoling Chen, Pengpeng Cheng, Yonggui Li
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      Seam pucker is a common problem in sewing. It not only affects the appearance of product, but also affects product performance. The purpose of this study is to quantify the complex dynamic interactions between fabric performance, sewing process parameters and seam pucker. In order to solve the problem of shirt seam pucker, this study selected four kinds of shirt fabrics, three kinds of polyester sewing threads, three kinds of stitch density and four kinds of seam types for experiments. Through unitary regression analysis, the subjective and objective evaluation results are consistent. Further analysis the results of objective experiment revealed that fabric performances, seams type, sewing thread and stitch densities all have impact on seam pucker. Meanwhile also find out the sewing process parameters for the four fabrics when the seam shrinkage’s were smallest, so it’s helpful for the apparel enterprises to improve seam quality. Multiple linear regression analysis of experimental results show that fabric performances has the greatest influence on seam pucker, thickness, weight and warp density of fabric properties significantly affect seam pucker. And as the breaking elongation of sewing thread increases, seam pucker also increases. Stitch densities and seam type has the least affected on seam pucker, they affect the seam pucker by changing the extension of stitch and thickness of fabric at the seam, respectively. Seam type has greater impact on fabrics that are prone to seam pucker, seam type T1 get larger seam shrinkage than T4. Finally, the complex dynamic interactions was quantified and expressed through mathematical models.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-05-28T06:25:25Z
      DOI: 10.1177/15589250211020394
      Issue No: Vol. 16 (2021)
       
  • Susceptibility of strain-hardening cementitious composite to curing
           conditions as a retrofitting material for RC beams

    • Authors: Mohammad Iqbal Khan, Galal Fares, Yassir Mohammed Abbas, Wasim Abbass, Sardar Umer Sial
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      Strain-hardening cement-based composites (SHCC) have recently been developed as repair materials for the improvement of crack control and strength of flexural members. This work focuses on strengthening and flexural enhancement using SHCC layer in tensile regions of flexural members under three different curing conditions. The curing conditions simulate the effect of different environmental conditions prevailing in the central and coastal regions of the Arabian Peninsula on the properties of SHCC as a retrofitting material. In this investigation, beams with SHCC layer were compared to control beams. The beams with SHCC layer of 50-mm thickness were cast. The results revealed that the flexural behavior and the load-carrying capacity of the normal concrete beam specimens under hot and dry environmental conditions were significantly reduced, lowering the ductility of the section. However, compressive strength is comparatively unaffected. Similarly, the hot curing conditions have also led to a notable reduction in the loading capacity of the beam with SHCC layer with a slight effect on its stiffness. On the other hand, steam-curing conditions have shown improvement in load-carrying capacity and a reduction in section ductility of the beam with SHCC layer. It was found that the structural unit retrofitted with SHCC layer was a curing-regime dependent as the tensile and strain-hardening properties of SHCC are highly sensitive to the alteration in the cement hydration process. A normal curing regime was found effective and satisfying the practical, cost, and performance requirements. Accordingly, a normal curing regime could be implemented to retrofit reinforced concrete (RC) beams with SHCC layers as recommended in the study.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-05-26T06:48:54Z
      DOI: 10.1177/15589250211020311
      Issue No: Vol. 16 (2021)
       
  • Female sagging breast dynamic 3D displacement study based on multiple
           3-axes accelerometers measuring system

    • Authors: Shuo Xu, Jianping Wang, Hugh Gong, Xiaofeng Yao, Zhujun Wang
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      The stability of breast plays an important role in the comfort of women’s movement. Women with sagging breasts are faced with more displacement due to the weakened breast internal support. The purpose of this study is to measure the dynamic 3D displacement of sagging breasts. Because of the sagging breast particularity, it is difficult to obtain all the data accurately by the traditional photoelectric capturing system. In this paper, multiple 3-Axes accelerometer sensors are used to measure the acceleration value of the specific points. Besides, the sensors integrated with 3-axes gyroscope which can collect the gyro data at the same time. The obtained accelerometer and gyroscope data will be transferred to the body coordinate from the sensor measuring coordinate. MATLAB will be used to analyze the collected data, and 2D and 3D point Cloud will be carried out. The maximum amplitude and whole picture of trajectory will be calculated, and the dynamic moving results of breast will have a general comparison of different points. The whole picture of sagging breast moving status can help bra designers improve wearing comfortable sensation, and the study can offer a new method for reference.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-05-25T05:41:37Z
      DOI: 10.1177/15589250211018196
      Issue No: Vol. 16 (2021)
       
  • Woven fabric defect control methods in shuttle loom

    • Authors: Lami Amanuel
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      The productivity and product quality of a shuttle loom are comparatively less than that of a shuttleless loom because of its high power consumption, more losses of energy, and fault susceptible picking mechanism. The economical commercialization of shuttle loom weaving requires systematic aspects of quality control which enable the mill to adhere to the methods of defect control methods. The current study focuses on the effectiveness of loom patrolling in minimizing fabric defects in the quality inspection department. The t-critical Value distribution of the recorded loom patrol defects and defects recorded in the quality inspection section were calculated to get the rejection region. The study demonstrated how much loom patrol minimizes the number of defects in the inspection department and emphasized loom patrolling as a decisive defect control method for shuttle looms. The t-critical value was calculated from the recorded data of the snap study done through direct observation, interview, and check sheet and these data were also analyzed using the Pareto technique, and focus group discussion. It was found that reed mark, temple mark, over pick and double pick were frequent in the shuttle looms. The causes of the defects were material, process, and human-related problems ranging from spinning section up to finishing section. Scientific Remedies were applied to avoid the successive coming of the faults and minimized the frequency of the defects significantly.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-05-25T05:39:06Z
      DOI: 10.1177/15589250211014181
      Issue No: Vol. 16 (2021)
       
  • Knitting parameters effect of coffee carbon polyamide and graphene
           polyamide far-infrared knits on human skin microcirculation

    • Authors: Zimin Jin, Jiaxue Chen, Jing Jin, Liping Zhu, Mingtao Zhao, Yuanyuan Wang
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      In this paper, the effect of coffee carbon and graphene far-infrared polyamide knitted fabrics on blood perfusion were studied based on the test method of human skin microcirculation (HSM), starting from the plating yarn feeding ratio and stitch of seamless knitted fabrics. Set the face yarn feeding ratios of coffee carbon polyamide (CCP) and graphene polyamide (GP) as 100:0, 75:25, 50:50, and 25:75. The stitches were 1 + 3 rib, 1 + 1 false rib, and plain plating. Both the plating yarn feeding ratio and stitch were designed as two experimental factors. According to the comprehensive experimental design method, 12 seamless knitted fabrics were prepared. The HSM was tested by BVI Projection Vein Finder. According to the orthogonal analysis method: Factor A, the plating yarn feeding ratio has the greatest effect on HSM, the second was factor B. When the plating yarn feeding ratio was 75:25, the stitch was 1 + 3 rib, the fabric has an excellent promoting effect on HSM. The purpose of this study was to explore the process parameters of far-infrared seamless knitted fabrics that have a better promotion effect on HSM, to apply the process to develop functional health care clothing to meet people’s market needs.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-05-25T05:37:44Z
      DOI: 10.1177/15589250211014182
      Issue No: Vol. 16 (2021)
       
  • A numerical study on the influence of hole defects on impact behavior of
           Twaron® fabric subjected to low-velocity impacts

    • Authors: Canyi Huang, Lina Cui, Hong Xia, Yiping Qiu, Qing-Qing Ni
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      In the present study, a finite element impact model was created and analyzed by commercial FEM code ANSYS®-AUTODYN and then validated by drop weight impact experiment. Moreover, models of single- and multilayer panels of plain weave as well as different weaving architectures were designed and created with and without holes to compare impact properties. The influence of the size and location of hole defect on the impact behavior of single-layer Twaron® fabric were investigated, the degree of influence of hole defects with different sizes on the impact behavior and the influence level by different location of the hole defects were well investigated in. In addition, the effect of hole defects on the impact behavior of multi-layer armor panel were studied. Hole defects were less influential in terms of impact contact force and had less severe constraining effect on front layer of the panel when the number of multi-layer armor panels increased. Furthermore, the effect of hole defects on the impact behavior of different weaving architectures (i.e. plain, twill, basket, and satin weave) were analyzed. Plain weave fabric had the highest energy absorption capability in impact scenarios with and without holes among all the woven architectures. Plain weave fabric was the most affected and twill weave was the least affected by hole defects in terms of transverse wave velocity; the satin weave was the most affected and the twill weave was the least affected by hole defects in terms of energy absorption. These findings will provide guidance for engineering of soft body amour and composite materials.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-05-24T01:06:34Z
      DOI: 10.1177/15589250211018414
      Issue No: Vol. 16 (2021)
       
  • Big data and digital design models for fashion design

    • Authors: Lihuan Zhao, Silu Liu, Xiaoming Zhao
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      The demand for fashion, and for virtual fitting and personalized fashion among customers, is changing the design and consumption of fashion. To meet such challenges, fashion design models are being developed based on big data and digitization, in which fashion is designed based on data, virtual fitting, design-support systems, and recommendation systems. This paper reviews the fashion design models proposed in recent years and considers future development directions for fashion design. Using big data and digital processing technologies, fashion designers identify the characteristics of popular fashions in the market, predict fashion trends, and create designs accordingly. The virtual fitting of scanatar, parametric mannequin, or even real human bodies, enables customers to quickly and easily find fashion that best meets their tastes and requirements. On consumer design-support platforms, consumers can freely select styles, colors, materials, and other fashion aspects and view the design output. Furthermore, fashion recommendation systems, guided by fashion design experts, have greatly improved consumer satisfaction with fashion design. Yet, current fashion design systems do not fully consider the performance of textile materials and do not involve functional fashion design, let alone comfort. Such limitations provide directions future research in fashion design.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-05-22T10:09:47Z
      DOI: 10.1177/15589250211019023
      Issue No: Vol. 16 (2021)
       
  • Effects of two-organic-acid-dissolved chitosan on antibacterial properties
           of bamboo pulp-based fabrics

    • Authors: Yan Wu, Yuqing Bian, Feng Yang, Jian Gan, Shiying Hu, Jilei Zhang
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      Bamboo pulping fabrics (BPFs), one of the most important textile materials for clothing industry, has many excellent characteristics such as soft, skin-friendly, and hygroscopic, etc., but some drawbacks especially mildewed, causing customers’ concerns. This experiment evaluated effects of two organic acids, acetic acid (AA) and citric acid (CA), as solvents for dissolving chitosan on the antibacterial properties of chitosan-treated BPFs with the intention of replacing AA with CA because previous research finding indicated the strong acid smelling of BPFs treated with chitosan dissolved in AA. Experimental results indicated that BPFs treated chitosan dissolved in CA had a significantly higher antibacterial rate than ones treated with chitosan dissolved in AA within each of five chitosan mass fraction levels investigated. Antibacterial rates of BPFs treated with chitosan dissolved in AA and CA increased as chitosan mass fraction increased, but increasing rates were different between BPFs treated with chitosan dissolved in AA and CA. No acid sour smell was detected for BPFs treated with chitosan dissolved in CA.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-05-20T09:33:36Z
      DOI: 10.1177/15589250211018197
      Issue No: Vol. 16 (2021)
       
  • Toward on integrally-formed knitted fabrics used for automotive seat cover

    • Authors: Su Liu, Siyao Mao, Peihua Zhang
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      Knitting forming is an advantage and distinguishing feature of knitting technology. The development of three-dimensional (3D) shaped technology and equipment, making knitted fabrics gradually developed from clothing domain to the industrial field. The automotive industry is one of the biggest markets for industrial textiles. Recently, most car seat covers in domestic market are made by cutting-and-sewing process, while, integrally-formed car seat covers are greatly far from commercial products. Therefore, this paper describes four knitting techniques for producing 3D shaped fabrics, and studies the knitting process of two types of 3D shaped geometries derived from car seat models. In present study, three-dimensional cutting method is used to unfold the two shapes in different ways and two knitting directions of one cutting method for individual 3D geometry are selected to knit on a Stoll computerized knitting machine. A mathematical relationship between 3D geometry and 2D unfolded shaping is established. After the shaping of each part is calculated, the program is made by the Pattern Preparation Unit and the knitting process is completed. The influence of two shaping techniques on the mechanical properties of the fully-fashioned fabric is evaluated, and it is found that compared with transferring-stitches technique, partial-knitting technique has superior mechanical properties. This study provides guides and references for the integrated automotive seat covers.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-05-18T06:19:58Z
      DOI: 10.1177/15589250211006544
      Issue No: Vol. 16 (2021)
       
  • Preparation and characterization of a novel ACF-TpPa-1 composite for dye
           adsorption

    • Authors: Ying Han, Jiaxun Li, Bobing He, Lixin Li
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      Environmental challenges, especially dye wastewater produced by printing and dyeing industry, pose a serious threat to global public health, and it is an urgent problem to realize harmless treatment of dye wastewater. Here, the combination of covalent organic framework materials (TpPa-1) and biological matrix materials (CF) was explored for the adsorption of dyes for the first time. The functional ACF-TpPa-1 composite adsorption materials were successfully prepared with collagen fiber (CF) made of leather waste as matrix, ethylenediamine (EDA) and covalent organic framework material (TpPa-1) as modified raw materials. It’s structure and properties were characterized by X-ray photoelectron spectroscopy (XPS), Fourier transform infrared spectroscopy (FTIR), Scanning electron microscopy (SEM). The experimental results showed that ACF-TpPa-1 had an adsorption capacity of 257.98 and 449.54 mg/g for acid fuchsia and reactive blue 19, respectively. It also showed excellent adsorption/desorption performance and repeatability after six cycles. As a collagen-based dye adsorbent with pH response, it has potential application prospects in the treatment of dye wastewater.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-05-12T11:08:37Z
      DOI: 10.1177/15589250211015898
      Issue No: Vol. 16 (2021)
       
  • Online 3D model reconstruction and virtual display for garment

    • Authors: Haisang Liu, Gaoming Jiang, Zhijia Dong
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      An online garment model reconstruction method is proposed using the axial deformation to simulate the various garment models to display the wearing effect under different sizes. The garment model is classified into three categories according to the structural features. The main sections and key points are determined based on the existing dimensional features. Inverse operation and radial weight are used in the garment deformation. Texture mapping is applied to the model reconstruction result to obtain a new model with clothing patterns. An online system is developed and garment models with multiple scales are applied to adapt to various devices. The reconstruction results are compared and analyzed, which proves that the method proposed can realize real-time 3D reconstruction of garment models with the changing sizes on the web page.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-05-12T11:02:28Z
      DOI: 10.1177/15589250211014177
      Issue No: Vol. 16 (2021)
       
  • Review on the 3-D simulation for weft knitted fabric

    • Authors: Sha Sha, Anqi Geng, Yuqin Gao, Bin Li, Xuewei Jiang, Hui Tao, Lei Luo, Xiaohong Yuan, Huizhen Ke, Xinrong Hu, Zhongmin Deng, Zhi Chen
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      There are different kinds of geometrical models and physical models used to simulate weft knitted fabrics nowadays, such as loop models based on Pierce, piecewise function, spline curve, mass-spring model, and finite element analyses (FEA). Weft knitting simulation technology, including modeling and yarn reality, has been widely adopted in fabric structure designing for the manufacturer. The technology has great potentials in both industries and dynamic virtual display. The present article is aimed to review the current development of 3-D simulation technique for weft knitted fabrics.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-04-30T09:45:21Z
      DOI: 10.1177/15589250211012527
      Issue No: Vol. 16 (2021)
       
  • Fabric defect detection based on deep-handcrafted feature and weighted
           low-rank matrix representation

    • Authors: Chunlei Li, Ban Jiang, Zhoufeng Liu, Yan Dong, Shuili Tang, Dawei Weng
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      In the process of textile production, automatic defect detection plays a key role in controlling product quality. Due to the complex texture features of fabric image, the traditional detection methods have poor adaptability, and low detection accuracy. The low rank representation model can divide the image into the low rank background and sparse object, and has proven suitable for fabric defect detection. However, how to further effectively characterize the fabric texture is still problematic in this kind of method. Moreover, most of them adopt nuclear norm optimization algorithm to solve the low rank model, which treat every singular value in the matrix equally. However, in the task of fabric defect detection, different singular values of feature matrix represent different information. In this paper, we proposed a novel fabric defect detection method based on the deep-handcrafted feature and weighted low-rank matrix representation. The feature characterization ability is effectively improved by fusing the global deep feature extracted by VGG network and the handcrafted low-level feature. Moreover, a weighted low-rank representation model is constructed to treat the matrix singular values differently by different weights, thus the most distinguishing feature of fabric texture can be preserved, which can efficiently outstand the defect and suppress the background. Qualitative and quantitative experiments on two public datasets show that our proposed method outperforms the state-of-the-art methods.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-04-27T09:32:36Z
      DOI: 10.1177/15589250211008453
      Issue No: Vol. 16 (2021)
       
  • Friedel-Crafts alkylation modification and hydrophilic soft finishing of
           meta aramid

    • Authors: Xia Wei, Mingyuan Liu, Kaimei Lu, Hailiang Wu, Junxiong Wu
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      Based on the Friedel-Crafts alkylation reaction, epichlorohydrin is applied to decorate the meta aramid to enhance the comfort of the fabrics. It is obviously more perfect that the samples are treated with the hydrophilic soft finishing agent. In this paper, the effects of modification and finishing time on the structure and properties of meta aramid are studied. The results indicate that the surface roughness, polarity, active point, and wetting property of the modified fabrics are increased, and the loading rate and fastness of the finishing agent on the meta aramid are enhanced. After finishing, the wetting time and the time of water transfer from the surface to the bottom become shorter in the fabrics, and the water absorption rate becomes faster, the core absorption height rises by 60%, the bending stiffness lowers by 39%, the moisture permeability increases by 5.9%, the permeability decreases by 3.6%, and the friction electric voltage reduces by 78%, The longitudinal and weft secondary combustion time increase by 0.3 s and 0.2 s, the smoldering time increase by 0.3 s, and the improving rate of damage length are 5.4% and 7.6%, respectively.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-04-12T11:53:32Z
      DOI: 10.1177/1558925021999061
      Issue No: Vol. 16 (2021)
       
  • Animal fiber imagery classification using a combination of random forest
           and deep learning methods

    • Authors: Yaolin Zhu, Jiameng Duan, Tong Wu
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      Feature extraction is a key step in animal fiber microscopic images recognition that plays an important role in the wool industry and textile industry. To improve the accuracy of wool and cashmere microscopic images classification, a hybrid model based on Convolutional Neural Network (CNN) and Random Forest (RF) is proposed for automatic feature extraction and classification of animal fiber microscopic images. First, use CNN to learn the representative high-level features from animal fiber images, then add dropout layers to avoid over-fitting. And the backward propagation algorithm are used to optimize the CNN structure. Random forest, which is robust and has strong generalization ability, is introduced for the classification of animal fiber microscopic images to obtain the final results. The study shows that, the proposed method has better generalization performance and higher classification accuracy than other classification methods.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-04-10T12:33:25Z
      DOI: 10.1177/15589250211009333
      Issue No: Vol. 16 (2021)
       
  • EfficientDet for fabric defect detection based on edge computing

    • Authors: Shaojun Song, Junfeng Jing, Yanqing Huang, Mingyang Shi
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      The productivity of textile industry is positively correlated with the efficiency of fabric defect detection. Traditional manual detection methods have gradually been replaced by deep learning algorithms based on cloud computing due to the low accuracy and high cost of manual methods. Nonetheless, these cloud computing-based methods are still suboptimal due to the data transmission latency between the end devices and the cloud. To facilitate defect detection with more efficiency, a low-latency, low power consumption, easy upgrade, and automatical visual inspection system with the help of edge computing are proposed in this work. Firstly, the method uses EfficientDet-D0 as the detection algorithm, integrating the advantages of lightweight and scalable and can suit the resource-constrained edge device. Secondly, we performed data augmentations on five fabric datasets and verified the adaptability of the model in different types of fabrics. Finally, we transplanted the trained model to the edge device NVIDIA Jetson TX2 and optimized the model with TensorRT to make it detection faster. The performance of the proposed method is evaluated in five fabric datasets. The detection speed is up to 22.7 frame per second (FPS) on the edge device Jetson TX2. Compared with the cloud-based method, the response time is reduced by 2.5 times, with the capability of real-time industrial defect detection.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-04-05T09:31:29Z
      DOI: 10.1177/15589250211008346
      Issue No: Vol. 16 (2021)
       
  • Intelligent manufacturing of color blended yarn: Color matching algorithm
           and manufacturing process through computer numerically controlled ring
           spinning system

    • Authors: Peng Cui, Yuan Xue, Yuexing Liu, Xianqiang Sun
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      Yarn-dyed textiles complement digital printing textiles, which hold promise for high production and environmentally friendly energy efficiencies. However, the complicated structures of color-blended yarns lead to unpredictable colors in textile products and become a roadblock to developing nonpollution textile products. In the present work, we propose a framework of intelligent manufacturing of color blended yarn by combining the color prediction algorithm with a self-developed computer numerically controlled (CNC) ring spinning system. The S-N model is used for the prediction of the color blending effect of the ring-spun yarn. The optimized blending ratios of ring-spun yarn are obtained based on the proposed linear model of parameter W. Subsequently, the CNC ring-spinning frame is used to manufacture color-blended yarns, which can configure the constituent fibers in such a way that different sections of yarn exhibit different colors.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-03-31T12:34:18Z
      DOI: 10.1177/15589250211006539
      Issue No: Vol. 16 (2021)
       
  • Surface treated cotton fabric with stain repellent property for the use in
           aircraft upholstery

    • Authors: Kuruppu Achchige Dulani Daminda Kuruppu
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      Nanotechnology modifications play a major role in textile industry due to extraordinary properties exhibit in fabrics due to nanomaterials. It offers different functionalities namely self-cleaning, wrinkle resistance, flame retardancy, protection from UV radiations or antibacterial property. Further, it is important to maintain cleanliness in aircraft upholstery always but the airliners have to bear a considerable amount of money to clean up the aircraft upholstery. Interestingly, nanotechnology can provide stain repellence property for fabrics in aircraft upholstery. This study covers a method of developing a stain repellent fabric which was stable even after 25 standard laundering conditions. In this study nanotechnology was used to modify a cotton fabric with stain repellant property. After nanotechnology modification, the surface wettability of the treated fabrics was characterized by static water contact angle measurements before and after 25 washes carried out under standard laundering conditions. Similar testings were carried out for the untreated fabric samples. The static water contact angle for the treated fabric was 161° with the recovery of 97.5% after 25 washing cycles. SEM and AFM micrographs were used to analyze the coatings. Further, the stability of hydrophobicity in the modified cotton fabric after 25 washes was also tested for tea, coffee, and water solutions which are vulnerable stain types in aircraft upholstery. It clearly proved that the modified cotton fabric even after 25 washes showed hydrophobicity for tea, coffee, and water. Therefore, it could be concluded that the developed modified cotton fabric can consider to be used as an aircraft upholstery.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-03-31T05:39:38Z
      DOI: 10.1177/15589250211005122
      Issue No: Vol. 16 (2021)
       
  • Surface characteristics of sol-gel treated single jersey plated socks

    • Authors: Ieva Bake, Silvija Kukle, Dana Belakova
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      This study examines properties of the cotton/polyamide plain plated commercial socks (CO 81%/PA 19%) and pure polyamide fabric subjected to the multifunctional treatment by a sol-gel coating technique where tetraethyl-orthosilicate (TEOS) and zinc acetate dihydrate (ZAD) were used as precursors. Commercially available sock is produced on a single cylinder sock knitting machine which results in two surfaces (cotton and polyamide), with dissimilar characteristics thus leading to necessity of their separate studies. Experimental part examines surface structural clarification and compound identification using infrared spectroscopy. To assess the impact of modification such properties as air permeability must be tested and analysed. Pilot tests of antibacterial activity against Bacillus subtilis mscL 1141 and Staphylococcus aureus mscL 334 where carried out. Due to the modification consolidation treatment temperature below the destruction of material and the chemical compounds vibrational modes overlap, but in regions 1170–1650 cm−1 and 3200–3395 cm−1 show the presence of bounds corresponding to sol-gel coating presence on the surface.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-03-30T02:32:15Z
      DOI: 10.1177/1558925021996711
      Issue No: Vol. 16 (2021)
       
  • Effect of wet processing operations on the functional properties imparted
           to polyester fabrics loaded with different metal oxides NPs part II:
           Effect of the different sequences of dyeing

    • Authors: Samy E Shalaby, Naser Gad Al-Balakocy, Margrita K Beliakova, Abdelmageed M Othman
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      The present work aims at investigating the effect of applying different dyeing sequences on the imparted functional properties to partially hydrolysed and bleached PET and PET/CO fabrics loaded with TiO2, ZnO and SnO2 nanoparticles (NPs). The so obtained dyed fabrics have been characterized using SEM, EDX and FT-IR analytical techniques. The obtained results revealed that, an interaction has taken place between COOH groups created on dyed polyester fabrics and each of the applied NPs. Moreover, the effect of loading and sequence of dyeing wet operation on the functional performances of polyester fabrics was evaluated by estimating its antimicrobial efficacy and ultraviolet protection properties. The antimicrobial activity was tested against B. mycoides, E. coli and C. albicans. It has been found that, loading polyester fabrics with TiO2 and ZnO during dyeing process using exhaustion or after dyeing using pad-dry-cure methods paves the way for imparting outstanding antimicrobial activity even after five washing cycles. Moreover, the obtained results have also reviled that, the UPF values are dependent on the sequences of the loading of abovementioed NPs during or after dyeing wet operation.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-03-26T07:01:52Z
      DOI: 10.1177/15589250211005760
      Issue No: Vol. 16 (2021)
       
  • Investigation into the color stripping of the pigment printed cotton
           fabric using the ozone assisted process: A study on the decolorization and
           characterization

    • Authors: Ajinkya Powar, Anne Perwuelz, Nemeshwaree Behary, Le vinh Hoang, Thierry Aussenac, Carmen Loghin, Stelian Sergiu Maier, Jinping Guan, Guoqiang Chen
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      Color stripping is one of the most convenient ways to rectify the various shade faults occurred during printing or dyeing process of textiles. But, the conventional chemical assisted process poses serious risk of the environmental pollution. Secondly, the chemical recycling of the cellulosic fibers may be disrupted due to the presence of the impurities like colorants, finishes, and the additives in the discarded textiles. So, there is a need to study ways to remove such impurities from the discarded cellulosic textiles in a sustainable manner. This work examines the decolorization of the pigment prints on cellulosic fabrics at pilot scale using an ozone-assisted process. The effect of varying pH, ozone concentration and the treatment time on the decolorization of the pigment prints was optimized using the response surface methodology technique. The effects of ozonation process parameters on the mechanical properties of cellulosic cotton fabric were measured. Decolorization of pigment printed samples was studied with respect to the surface effects by a scanning electron microscopy (SEM), and the chemical removal effects of ozonation treatment were studied using X-ray photoelectron spectroscopy. The possible mechanism regarding the action of ozone for the decolorization is discussed.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-03-23T11:56:39Z
      DOI: 10.1177/1558925021992757
      Issue No: Vol. 16 (2021)
       
  • Cashmere and wool identification based on convolutional neural network

    • Authors: Junli Luo, Kai Lu, Yueqi Zhong, Boping Zhang, Huizhu Lv
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      Wool fiber and cashmere fiber are similar in physical and morphological characteristics. Thus, the identification of these two fibers has always been a challenging proposition. This study identifies five kinds of cashmere and wool fibers using a convolutional neural network model. To this end, image preprocessing was first performed. Then, following the VGGNet model, a convolutional neural network with 13 weight layers was established. A dataset with 50,000 fiber images was prepared for training and testing this newly established model. In the classification layer of the model, softmax regression was used to calculate the probability value of the input fiber image for each category, and the category with the highest probability value was selected as the prediction category of the fiber. In this experiment, the total identification accuracy of samples in the test set is close to 93%. Among these five fibers, Mongolian brown cashmere has the highest identification accuracy, reaching 99.7%. The identification accuracy of Chinese white cashmere is the lowest at 86.4%. Experimental results show that our model is an effective approach to the identification of multi-classification fiber.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-03-22T04:52:20Z
      DOI: 10.1177/15589250211005088
      Issue No: Vol. 16 (2021)
       
  • Established an eco-friendly cotton fabric treating process with enhancing
           anti-wrinkle performance

    • Authors: Xiongfang Luo, Pei Cheng, Wencong Wang, Jiajia Fu, Weidong Gao
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      This study establishes an eco-friendly anti-wrinkle treating process for cotton fabric. Sodium hydroxide-liquid ammonia pretreatment followed by 6% (w/w) PU100 adding citric acid pad-cure-dry finishing. In this process, citric acid (CA) was used as the fundamental crosslinking agent during finishing because it is a non-formaldehyde based, cost-effective and well wrinkle resistance agent. Environmental-friendly waterborne polyurethane (WPU) was used as an additive to add to the CA finishing solution. Six commercial WPUs were systematically investigated. Fabric properties like wrinkle resistance, tensile strength retention, whiteness, durable press, softness, and wettability were well investigated. Fourier transform infrared spectra and X-ray diffraction spectra were also measured and discussed before and after adding waterborne polyurethane. Tentative mechanism of the interaction among the WPU, CA, and modified cotton fabrics is provided. The effect of cotton fabric pretreatment on fabric performance was also investigated. After the eco-process’s treatment, the fabric wrinkle resistant angle was upgraded to 271 ± 7°, tensile strength retention was maintained at 66.77% ± 3.50% and CIE whiteness was elevated to 52.13 ± 3.21, which are much better than the traditional CA anti-wrinkle finishing based on mercerized cotton fabrics. This study provides useful information for textile researchers and engineers.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-03-19T07:02:22Z
      DOI: 10.1177/15589250211003454
      Issue No: Vol. 16 (2021)
       
  • Track design and realization of braiding for three-dimensional variably
           shaped cross-section preforms

    • Authors: Shao Guowei, Sun Zhihong, Zhou Qihong, Wang Zhenxi, Wang Bing, Xu chang, Fang Tao, Lin Hua
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      The preforms of three-dimensional (3D) braided composites have a monolithic structure that is braided with high-performance fibers using 3D braiding technology. Compared with traditional laminate composites, braided composites are widely favored because of their superior overall performance and mechanical properties. The capability of fabricating various yarn structures with a flexible 3D rotary braiding method, however, has not been systematically investigated, especially for a variable-section braiding structure. In accordance with the principles of braiding technology and the characteristics of a 3D braiding structure, in this study, we examined a braiding technology for the production of 3D variably shaped cross-section fabric, focusing on three key factors: the topology design of tracks, the arrangement of carriers, and the matrix algorithm of the braiding of variably shaped cross sections. We calculated new kind of structural synthesis approach to a 3D braiding track for a variable section based on the carrier arrangement characteristic method and completed the entire braiding scheme of the variable cross section. In addition, this approach represents an important step toward a simplified understanding of the carrier motion and the operator-independent operation of a 3D rotary braiding machine.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-03-19T07:00:01Z
      DOI: 10.1177/15589250211002510
      Issue No: Vol. 16 (2021)
       
  • Tear strength of a laminated fabric for stratospheric airship under
           uniaxial and biaxial tests

    • Authors: Yonglin Chen, Shuai Li, Gongyi Fu
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      Envelopes are main structures of stratospheric airships. They are usually made of laminated fabrics and prone to tearing, so it is significant to study their tear strengths. This paper aims to investigate the tear strength of an envelope for stratospheric airships by uniaxial and biaxial tear tests. Three uniaxial tear specimens and 15 biaxial tear specimens under five different stress ratios (warp stress vs weft stress) were tested, and their tear strengths were measured. Two-dimensional digital speckle correlation method was used to obtain specimens’ strain contours. The test results show that the average tear strength of uniaxial specimens is 32.99 N/mm, over 20% higher than those of biaxial specimens, ranging from 25.50 N/mm to 27.25 N/mm. It reveals that weft stress reduces the tear strength; nevertheless, the stress ratios slightly affect the tear strength. Besides, the strain contours clearly show three zones in each specimen – the low-strain zone, the high-strain zone, and the medium-strain zone. Depending on the strain contours and previous research on imperfect composite materials, we inferred that the crack-tip stress concentration factor of a uniaxial specimen is lower than that of a biaxial specimen. It explains the difference in tear strength between uniaxial and biaxial specimens. These findings suggest using biaxial tear test to measure the tear strength of an SSA’s envelope.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-03-19T06:57:02Z
      DOI: 10.1177/15589250211001822
      Issue No: Vol. 16 (2021)
       
  • Effect of enzymatic glycosylation on the structure and properties of wheat
           gluten protein fibers

    • Authors: Duo Lei, Xiaojun Ma
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      Wheat gluten proteins are good raw materials for preparing fibers due to their excellent viscoelasticity. However, protein fibers made directly from wheat gluten have poor mechanical properties. In this paper, transglutaminase was used to induce the glycosylation reaction between wheat gluten proteins and carboxymethyl chitosan. The glycated proteins were then made into fibers by wet spinning. After glycosylation modification, the breaking strength and breaking elongation of the wheat gluten protein fibers (WGPF) improved by 43% and 127%, respectively. Fourier transform infrared spectroscopy and sodium dodecyl sulfate-polyacrylamide gel electrophoresis analyses revealed that the glycosylation-modified WGPF molecules contained saccharide portions, which confirms the covalent attachment of carboxymethyl chitosan to the wheat gluten protein. Scanning electron microscopy showed that the number of pores in the cross-section of the modified WGPF was lower than that in the unmodified WGPF. The thermal stability and dyeability of the modified WGPF were also improved.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-03-15T05:49:23Z
      DOI: 10.1177/15589250211000337
      Issue No: Vol. 16 (2021)
       
  • Hetero-functional azo reactive dyes applied on cellulosic fabric and
           dyeing conditions optimization to enhance the dyeing properties

    • Authors: Umme Habibah Siddiqua, Shaukat Ali, Shazia Muzaffar, Zinayyera Subhani, Munawar Iqbal, Hina Daud, Dure Najaf Iqbal, Arif Nazir
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      New dyestuff moieties are introduced in the textile industry to upgrade the quality and aesthetic properties of dyed fabric. To contribute to this research endeavor, the current project was conducted for the dyeing of cellulosic fabric via new hetero-functional reactive dyes R1 and R2 synthesized in our previous study. Optimization of different process variables (temperature, salt, and alkali concentration) and their interactive study for exhaust dyeing was explored and delineated based on a statistical tool response surface methodology. Results divulged that both dyes displayed maximum exhaustion and fixation at a temperature of 61.50°C on the cellulosic fabric. Reactive dye R1 exhibited 87.62 (±3) exhaustion and 82.85 (±3) fixation percentage at their optimum salt (29.07 g/L) and alkali (32.55 g/L) dosage while R2 displayed 81.50 (±3) exhaustion and 77.21 (±3) fixation at its optimized salt (32.55 g/L) and alkali concentrations (22.84 g/L). All process variables showed a positive and synergistic effect on the dyeing properties. Enhanced exhaustion and fixation percentage of R1 as compared to R2 may be accredited to greater planarity and less steric hindrance of R1. Both dyes presented superb color buildup showing good to excellent color fastness on cotton fabric. Future perspectives of the current study comprised the application and assessment of dyeing parameters of these new reactive dyes on polyester cotton (PC) fabric.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-02-26T01:16:14Z
      DOI: 10.1177/1558925021996710
      Issue No: Vol. 16 (2021)
       
  • Burst pressure prediction of fiber-reinforced flexible pipes with
           arbitrary generatrix

    • Authors: Guo-min Xu, Chang-geng Shuai
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      Fiber-reinforced flexible pipes are widely used to transport the fluid at locations requiring flexible connection in pipeline systems. It is important to predict the burst pressure to guarantee the reliability of the flexible pipes. Based on the composite shell theory and the transfer-matrix method, the burst pressure of flexible pipes with arbitrary generatrix under internal pressure is investigated. Firstly, a novel method is proposed to simplify the theoretical derivation of the transfer matrix by solving symbolic linear equations. The method is accurate and much faster than the manual derivation of the transfer matrix. The anisotropy dependency on the circumferential radius of the pipe is considered in the theoretical approach, along with the nonlinear stretch of the unidirectional fabric in the reinforced layer. Secondly, the burst pressure is predicted with the Tsai-Hill failure criterion and verified by burst tests of six different prototypes of the flexible pipe. It is found that the burst pressure is increased significantly with an optimal winding angle of the unidirectional fabric. The optimal result is determined by the geometric parameters of the pipe. The investigation method and results presented in this paper will guide the design and optimization of novel fiber-reinforced flexible pipes.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-02-15T12:52:29Z
      DOI: 10.1177/1558925021990812
      Issue No: Vol. 16 (2021)
       
  • Toward parent-child smart clothing: Purchase intention and design elements

    • Authors: Weizhen Wang, Siyi Wang
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      Through the analysis of consumers’ attitude (ATT) and purchase intention (PI) toward parent-child smart clothing, this research reversely derives and extracts the design elements of this type of clothing. This research expands the category of Technology Acceptance Model (TAM) with clothing design attribute. Based on perceived usefulness (PU), perceived ease of use (PE) and perceived performance risk (PR), functionality (FUN), aesthetic (AES) and compatibility (COM) of clothing are added to analyze the factors affecting consumers’ ATT and PI toward parent-child smart clothing. A total of 372 volunteers participated in the test, and the results show that COM has a significant positive influence on PU, PE and PR. PU and FUN have a positive influence on purchase ATT and PI. PE positively affects PU and positively affects purchase ATT. PE positively affects PU and positively affects purchase ATT.AES positively influences purchase ATT but has little impact on PI. PR negatively influences both purchase ATT and PI but have little impact on PI. This research confirms the significance of multi-dimensional features of smart parent-child clothing, extracts and preliminarily establishes the framework model of design evaluation elements. And the results are helpful to the product design and development of parent-child smart clothing in the future.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-02-15T12:48:08Z
      DOI: 10.1177/1558925021991843
      Issue No: Vol. 16 (2021)
       
  • Digital design model for weft-knitted seamless yoga pants based on skin
           deformation

    • Authors: Weirong Wang, Honglian Cong, Zhijia Dong, Zhe Gao
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      The study analyzed the skin deformation of women’s limbs under yoga, and established a digital design model of weft-knitted seamless yoga pants based on skin deformation. Five representative yoga moves were selected. Eight female participants were selected to perform a standard standing posture and yoga postures. Three-dimensional scanning technology was used to measure the participants’ lower limbs, and skin data on different parts of the lower limbs were analyzed. The prototype of seamless pant was partitioned based on the skin deformation data, and it was establish a partition design model of weft knitted seamless yoga pant. By creating an fabric structure library and classifying it according to the tensile properties of the fabric structure, establishing the correspondence between the model partition and the fabric structure classification, which realized the digital design of the seamless yoga pants structure. The research results can provide a basis for the structure and style design of yoga pants, and realize the rationality and efficiency of clothing design.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-02-15T12:46:49Z
      DOI: 10.1177/1558925021990503
      Issue No: Vol. 16 (2021)
       
  • Identification method of cashmere and wool based on texture features of
           GLCM and Gabor

    • Authors: Yaolin Zhu, Jiayi Huang, Tong Wu, Xueqin Ren
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      The common texture feature extraction method is only in spatial or frequency domain, leading to insufficient texture information and low accuracy. The main aim of this paper is to present a novel texture feature analysis method based on gray level co-occurrence matrix and Gabor wavelet transform to sufficiently extract texture feature of cashmere and wool fibers. Firstly, the gray level co-occurrence matrix is constructed to calculate the four texture feature vectors including of contrast, angular second moment, dissimilarity and energy in spatial domain, and four texture feature vectors, which are contrast, angular second moment, mean and entropy, in frequency domain is obtained through Gabor wavelet transform and Gray-Scale difference statistics method. Then, because the contrast and angle second moment are used as descriptors of fiber image in both spatial and frequency domain, they are fused respectively by introducing a weight to make linear addition, making eight feature values compose a 6-dimensional feature vector. Finally, these feature vectors are fed into the Fisher classifier. The experimental results show that the identification accuracy of the proposed algorithm is improved by 0.682% compared to use 8-dimensional feature vectors describing the sample image. It verifies that the fused method based on texture feature in spatial and frequency domain is an effective approach to identify fibers of cashmere and wool.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-02-15T12:08:59Z
      DOI: 10.1177/1558925021989179
      Issue No: Vol. 16 (2021)
       
  • A model for predicting stress distribution and strain-force
           characteristics in regular braided ropes

    • Authors: Zhang Yujing, Meng Zhuo, Du Chengjie, Yao Linlin, Sun Yize
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      Owing to the good mechanical properties of braided structures, regular braided ropes are increasingly being used in various fields, including marine exploration, aloft work, recreation activities, and oil prospecting. However, under certain severe conditions, they could break, a situation that is absolutely undesired. Thus, predicting their stress distribution and strain-force characteristics when they are subjected to different tensile loads is a pre-requisite for their application. Therefore, in this study, a mathematical model for ropes with regular braided structures is developed, and based on the model, this study reveals that uneven stress distributions in the different strands of regular braided ropes generate different stress distributions and strain-force characteristics in each of the strands. Additionally, the uneven stress distributions in the different strands also induce mechanical failure more readily. Finally, to ensure the reliability of braided ropes in different applications, different strand parameters are compared.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-02-12T08:13:33Z
      DOI: 10.1177/1558925021990483
      Issue No: Vol. 16 (2021)
       
  • Modeling the seam strength of denim garments by using fuzzy expert system

    • Authors: Joy Sarkar, Md Abdullah Al Faruque, Moni Sankar Mondal
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      The main purpose of this study is to predict and develop a model for forecasting the Seam Strength (SS) of denim garments with respect to the thread linear density (tex) and Stitches Per Inch (SPI) by using a Fuzzy Logic Expert System (FLES). The seam strength is an important factor for the serviceability of any garments. As seams bound the fabric pieces together in a garment, the seams must have sufficient strength to execute this property even in the unexpected severe conditions where the garments are subjected to loads or any additional internal or external forces. Sewing thread linear density and number of stitches in a unit length of the seam are the two of the most important factors that affect the seam strength of any garments. But the relationship among these two specific variables and the seam strength is complex and non-linear. As a result, a fuzzy logic based model has been developed to demonstrate the relationship among these parameters and the developed model has been validated by the experimental trial. The coefficient of determination (R2) was found to be 0.98. The mean relative error also lies withing acceptable limit. The results have suggested a very good performance of the model in the case of the prediction of the seam strength of the denim garments.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-02-01T12:26:24Z
      DOI: 10.1177/1558925021988976
      Issue No: Vol. 16 (2021)
       
  • Preparation and characterization of PGS/PLLA@PNIPAM core-shell nanofiber
           membrane by electrospinning and surface ATRP grafting

    • Authors: Qijian Niu, Lili Ma, Junxia Guo, Xiaoping Yang
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      In this study, a temperature responsive PGS/PLLA@PNIPAM core-shell nanofiber membrane was prepared by combining electrospinning with surface ATRP grafting polymer technology, in which the core layer of PGS/PLLA nanofiber was prepared by electrospinning, and then the shell layer of temperature responsive PNIPAM polymer was grafted on the nanofiber surface by ATRP reaction. In the experiment, a macromolecule-initiator PGS-Br was prepared and characterized by FTIR and 1H NMR. The surface morphology, composition, element of the core-shell nanofiber membrane were characterized by SEM, FTIR, and XPS. In addition, it is worth noting that the core-shell nanofiber membrane can respond to temperature in drug release tests.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-01-27T12:07:14Z
      DOI: 10.1177/1558925021988967
      Issue No: Vol. 16 (2021)
       
  • Yarn on yarn abrasion performance of high modulus polyethylene fiber
           improved by graphene/polyurethane composites coating

    • Authors: Fanggang Ning, Guifang He, Chunfu Sheng, Hongwei He, Jian Wang, Rong Zhou, Xin Ning
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      As a high-performance fiber, high modulus polyethylene fiber (HMPE) has been widely used in the rope industry. However, due to its low melting point and poor thermal conductivity, it tends to break under the conditions of repeated yarn on yarn abrasion during tension-tension fatigue or tension-bending fatigue. This paper puts forward a method to improve the yarn on yarn abrasion performance of HMPE using a functional graphene/polyurethane composites coating (FG/PU) and discussed the influence of yarn tension, abrasion frequency on the yarn on yarn performance. Based on the yarn morphology and abrasion temperature observation, the failure mechanism was discussed. The experimental results show that the FG/PU coating obtained can improve the yarn on yarn abrasion performance obviously, especially in the case of high-frequency and large tension condition.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-01-11T11:39:29Z
      DOI: 10.1177/1558925020983563
      Issue No: Vol. 16 (2021)
       
  • Methods for improving the accuracy of CIE tristimulus values of object
           color by calculation Part II: Improvement on measurement wavelength ranges
           

    • Authors: Yang Hongying, Zhang Jingjing, Yang Zhihui, Zhou Jinli, Xie Wanzi, Cui Shizhong
      Abstract: Journal of Engineered Fibers and Fabrics, Volume 16, Issue , January-December 2021.
      The previous paper (part I) analyzed test errors of the spectrophotometer and their reasons, then systematically investigated the algorithms to reduce measuring bandpass error and intervals error. This paper (part II) focuses on the influence of measurement wavelength ranges and their truncation errors, and some algorithms to overcome the truncation errors. CIE recommends that tristimulus values are calculated over a range of 360–830 nm. However, most spectrophotometers do not meet it. The reduction of measurement range will result in a measurement range error or a truncation error. In this study, five ranges commonly employed in practice are selected for investigating the truncation errors, and three extrapolation methods are used to extend the data to compensate for the measurement range loss. Results are obtained by employing 1301 Munsell color chips under illuminant D65 and CIE 1964 standard observer. For the standard 1-nm intervals, the narrower the range, the larger the truncation error. For the usual-measured 10-nm intervals, bandpass error and intervals error should be handled at the same time, 380–780 nm Table LWL gives the highest accurate outcomes, which even improve the accuracy of the range 360–750 nm to an acceptable level. Whereas, ranges of 360–700 nm and 400–700 nm still need extrapolation to reduce their truncation errors even with Table LWL. Three extrapolation methods of nearest, linear and second-order all reduce the truncation error, but for different ranges, algorithms and illuminants, the optimal method of extrapolation varies.
      Citation: Journal of Engineered Fibers and Fabrics
      PubDate: 2021-01-11T11:38:09Z
      DOI: 10.1177/1558925020985964
      Issue No: Vol. 16 (2021)
       
 
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