Pub Date : 2024-08-07DOI: 10.1177/00405175241228846
Yunrui Shi, Qing Chen, Lu Wang, Zhengliang Han, Lianlian Xu, Xin Xiao, Peng Xu, Dahua Shou, Jintu Fan
Fractal branching networks are structures that are ubiquitous in nature, possessing multiple transport characteristics, and have been the subject of long-term attention by many researchers. Currently, in the field of textiles, research on the ability of tree-like structures to enhance the water transport property of fabrics is mostly focused on the thickness direction of the fabric. However, there is little research on the liquid water transfer rate in the horizontal direction. In this article, the water transport performance of liquid water in tree-like fractal nonwoven fabrics with different shapes (tree-like and rectangular) was investigated, and the liquid water transport rate was measured using the horizontal wicking method. It was found that when the sum of the cube of the branch width was equal to the cube of the main stem width, the water transport efficiency of liquid water in the fabric is optimal. At the same time, a summary of the experimental data was made by comparing the water transport property of fabrics with corresponding equal areas but different widths or heights. It was found that for nonwoven fabrics with the same area size, tree-like structures can transport liquid water to a farther distance in the same amount of time. Furthermore, the liquid water transport ability of tree-like nonwoven fabrics in the horizontal direction was simulated using finite element analysis in COMSOL Multiphysics, and the results were in good agreement with the experimental values.
{"title":"Study on the water transport performance of the fractal tree-like structure of nonwoven cotton fabrics","authors":"Yunrui Shi, Qing Chen, Lu Wang, Zhengliang Han, Lianlian Xu, Xin Xiao, Peng Xu, Dahua Shou, Jintu Fan","doi":"10.1177/00405175241228846","DOIUrl":"https://doi.org/10.1177/00405175241228846","url":null,"abstract":"Fractal branching networks are structures that are ubiquitous in nature, possessing multiple transport characteristics, and have been the subject of long-term attention by many researchers. Currently, in the field of textiles, research on the ability of tree-like structures to enhance the water transport property of fabrics is mostly focused on the thickness direction of the fabric. However, there is little research on the liquid water transfer rate in the horizontal direction. In this article, the water transport performance of liquid water in tree-like fractal nonwoven fabrics with different shapes (tree-like and rectangular) was investigated, and the liquid water transport rate was measured using the horizontal wicking method. It was found that when the sum of the cube of the branch width was equal to the cube of the main stem width, the water transport efficiency of liquid water in the fabric is optimal. At the same time, a summary of the experimental data was made by comparing the water transport property of fabrics with corresponding equal areas but different widths or heights. It was found that for nonwoven fabrics with the same area size, tree-like structures can transport liquid water to a farther distance in the same amount of time. Furthermore, the liquid water transport ability of tree-like nonwoven fabrics in the horizontal direction was simulated using finite element analysis in COMSOL Multiphysics, and the results were in good agreement with the experimental values.","PeriodicalId":22323,"journal":{"name":"Textile Research Journal","volume":"36 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141930469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The negative impact of nonuniform tension on the product quality in the production process of carbon fiber prepreg tape cannot be overlooked. It is essential to consider the influence of nonuniform tension on the transverse vibration characteristics of the moving carbon fiber prepreg tape. This paper investigates the transverse vibration characteristics and plane stress distribution of the moving carbon fiber prepreg tape under a nonuniform coefficient of tension. The governing equation for the transverse vibration of the tape is derived using Kirchhoff’s thin plate theory and Hamilton’s principle, and the Galerkin method is applied to solve for the natural frequencies. The study focuses on the transverse vibration characteristics and stability of the tape, exploring the influence of geometric, material, and process parameters on its natural frequencies and critical velocities. In addition, the negative impact of nonuniform tension on the plane stress distribution of the carbon fiber prepreg tape is quantitatively expressed through coefficient of variation. The research findings underscore the importance of incorporating the nonuniform coefficient of tension into theoretical analysis and simulation modeling, enabling a precise investigation of the vibration characteristics and plane stress distribution exhibited by carbon fiber prepreg tape during the production process.
{"title":"Transverse vibration characteristics and plane stress distribution of the carbon fiber prepreg tape subjected to nonuniform tension","authors":"Dongjian Zhang, Wei Fan, Chenglin Qian, Guofeng Li, Peng Huang, Xuehui Gan","doi":"10.1177/00405175241262537","DOIUrl":"https://doi.org/10.1177/00405175241262537","url":null,"abstract":"The negative impact of nonuniform tension on the product quality in the production process of carbon fiber prepreg tape cannot be overlooked. It is essential to consider the influence of nonuniform tension on the transverse vibration characteristics of the moving carbon fiber prepreg tape. This paper investigates the transverse vibration characteristics and plane stress distribution of the moving carbon fiber prepreg tape under a nonuniform coefficient of tension. The governing equation for the transverse vibration of the tape is derived using Kirchhoff’s thin plate theory and Hamilton’s principle, and the Galerkin method is applied to solve for the natural frequencies. The study focuses on the transverse vibration characteristics and stability of the tape, exploring the influence of geometric, material, and process parameters on its natural frequencies and critical velocities. In addition, the negative impact of nonuniform tension on the plane stress distribution of the carbon fiber prepreg tape is quantitatively expressed through coefficient of variation. The research findings underscore the importance of incorporating the nonuniform coefficient of tension into theoretical analysis and simulation modeling, enabling a precise investigation of the vibration characteristics and plane stress distribution exhibited by carbon fiber prepreg tape during the production process.","PeriodicalId":22323,"journal":{"name":"Textile Research Journal","volume":"110 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141785658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-25DOI: 10.1177/00405175241261092
Chang Chen, Qihong Zhou, Shujia Li, Dong Luo, Gaochao Tan
Aiming at the problems of low detection accuracy and high leakage rate in traditional detection algorithms, an improved YOLOv8 algorithm is proposed for automatic detection of fabric defects. A swin transformer block was added to the C2f module in the backbone network, which can transfer information between multiple attention layers in parallel to capture fabric defect information and improve the detection accuracy of small-sized defects. To enhance the model’s performance in detecting defects of various sizes, a bidirectional feature pyramid network (BiFPN) was incorporated into the neck. This allows for the assignment of different weights to defect features in different layers. A convolution block attention module (CBAM) was added to the feature fusion layer, enabling the model to automatically increase the weight of essential features and suppress nonessential features during training to solve the problem of leakage detection of small-sized defects due to occlusion and background confusion. The Wise-IoU (WIoU) loss function replaces the conventional loss function, addressing sample imbalance and directing the model to prioritize average-quality samples. This modification contributes to an overall improvement in the model’s performance. The results of the experiment proved that on the self-constructed fabric defect dataset, the algorithm in this paper achieved an accuracy of 97.7%, recall of 95.1%, and mAP of 96.8%, which are 4.4%, 9.4%, and 5.1% higher than those of the YOLOv8 algorithm, respectively. On the AliCloud Tianchi dataset, the algorithm achieves 52.3%, 49.2%, and 49.8% in terms of accuracy, recall, and mAP, respectively, which is an improvement of 4.4% in terms of accuracy, 2.8% in terms of recall, and 2.7% in terms of mAP compared with the baseline algorithm. The improved YOLOv8 algorithm has a high detection accuracy, low leakage rate, and a detection speed of 107.5 FPS, which aligns with the real-time defect detection speed in the industry.
{"title":"Fabric defect detection algorithm based on improved YOLOv8","authors":"Chang Chen, Qihong Zhou, Shujia Li, Dong Luo, Gaochao Tan","doi":"10.1177/00405175241261092","DOIUrl":"https://doi.org/10.1177/00405175241261092","url":null,"abstract":"Aiming at the problems of low detection accuracy and high leakage rate in traditional detection algorithms, an improved YOLOv8 algorithm is proposed for automatic detection of fabric defects. A swin transformer block was added to the C2f module in the backbone network, which can transfer information between multiple attention layers in parallel to capture fabric defect information and improve the detection accuracy of small-sized defects. To enhance the model’s performance in detecting defects of various sizes, a bidirectional feature pyramid network (BiFPN) was incorporated into the neck. This allows for the assignment of different weights to defect features in different layers. A convolution block attention module (CBAM) was added to the feature fusion layer, enabling the model to automatically increase the weight of essential features and suppress nonessential features during training to solve the problem of leakage detection of small-sized defects due to occlusion and background confusion. The Wise-IoU (WIoU) loss function replaces the conventional loss function, addressing sample imbalance and directing the model to prioritize average-quality samples. This modification contributes to an overall improvement in the model’s performance. The results of the experiment proved that on the self-constructed fabric defect dataset, the algorithm in this paper achieved an accuracy of 97.7%, recall of 95.1%, and mAP of 96.8%, which are 4.4%, 9.4%, and 5.1% higher than those of the YOLOv8 algorithm, respectively. On the AliCloud Tianchi dataset, the algorithm achieves 52.3%, 49.2%, and 49.8% in terms of accuracy, recall, and mAP, respectively, which is an improvement of 4.4% in terms of accuracy, 2.8% in terms of recall, and 2.7% in terms of mAP compared with the baseline algorithm. The improved YOLOv8 algorithm has a high detection accuracy, low leakage rate, and a detection speed of 107.5 FPS, which aligns with the real-time defect detection speed in the industry.","PeriodicalId":22323,"journal":{"name":"Textile Research Journal","volume":"57 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141778974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-25DOI: 10.1177/00405175241261090
Qing Li, Chulin Li, Dongdong Dong, Guangwu Sun, Hongyan Hu, Wenfeng Hu, Hong Xie, Yanmei Li, Yudong Wang
The performance of medical compression stockings can undergo notable changes after washing. This study aimed comprehensively to evaluate how the mechanical properties of medical compression stockings would be changed after undergoing washing under different conditions. We further investigated the effect of washing parameters on medical compression stockings. By subjecting medical compression stockings to washing under varying conditions, and measuring the mechanical properties (including the tensile properties, bending property, friction property, and bagging property) of medical compression stockings from the knee to the thigh, distinct alterations were observed. Notably, it was concluded that the elongation, the tension, and the bending rigidity of medical compression stockings increased. In addition, the residual rate of bagging was reduced after washing. In addition, the washing temperature was the most significant factor affecting the mechanical properties of medical compression stockings. Meanwhile, the mechanical actions of the washing machine, such as drum speed and washing time, also exerted varying degrees of influence on the mechanical properties of different medical compression stockings. Furthermore, this study not only provides essential guidance for consumers regarding effective washing practices for medical compression stockings, but also contributes valuable insights towards optimizing the mechanical properties of medical compression stockings to maintain their key properties.
{"title":"Effects of washing on the mechanical properties of medical compression stockings","authors":"Qing Li, Chulin Li, Dongdong Dong, Guangwu Sun, Hongyan Hu, Wenfeng Hu, Hong Xie, Yanmei Li, Yudong Wang","doi":"10.1177/00405175241261090","DOIUrl":"https://doi.org/10.1177/00405175241261090","url":null,"abstract":"The performance of medical compression stockings can undergo notable changes after washing. This study aimed comprehensively to evaluate how the mechanical properties of medical compression stockings would be changed after undergoing washing under different conditions. We further investigated the effect of washing parameters on medical compression stockings. By subjecting medical compression stockings to washing under varying conditions, and measuring the mechanical properties (including the tensile properties, bending property, friction property, and bagging property) of medical compression stockings from the knee to the thigh, distinct alterations were observed. Notably, it was concluded that the elongation, the tension, and the bending rigidity of medical compression stockings increased. In addition, the residual rate of bagging was reduced after washing. In addition, the washing temperature was the most significant factor affecting the mechanical properties of medical compression stockings. Meanwhile, the mechanical actions of the washing machine, such as drum speed and washing time, also exerted varying degrees of influence on the mechanical properties of different medical compression stockings. Furthermore, this study not only provides essential guidance for consumers regarding effective washing practices for medical compression stockings, but also contributes valuable insights towards optimizing the mechanical properties of medical compression stockings to maintain their key properties.","PeriodicalId":22323,"journal":{"name":"Textile Research Journal","volume":"69 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141778977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-21DOI: 10.1177/00405175241260066
Ugnė Gliaudelytė, Maria Persson, Virginija Daukantienė
This research critically reviewed the influence of textile characteristics, including textile content (fiber composition), yarn construction, material structure, and treatment type, on microplastic release from textile products during washing. To date, the predominant focus of research has been on the washing parameters rather than the intrinsic characteristics of textiles. The findings of this review revealed that natural, man-made, and mixed-composition fabrics tend to release more microfibers compared to pure synthetic fabrics. Divergent results have been observed in studies on the release of microplastics from recycled synthetic fabrics. Woven fabrics release less microplastic compared to knitted fabrics. However, it is evident that yarn construction has more impact on microplastic release than textile composition or structure, and high-twist filament yarns reduce microplastic formation. Mechanical finishes tend to enhance microplastic release, while synthetic and biodegradable reduce it, but their sustainability and durability aspects need further investigation. The impact of different types of dyes on microplastic release remains unclear. All of the textile characteristics specified in this article are of pivotal importance in microplastic research. Overlooking the significance of any of these details can complicate the development of microplastic mitigation strategies.
{"title":"Impact of textile composition, structure, and treatment on microplastic release during washing: a review","authors":"Ugnė Gliaudelytė, Maria Persson, Virginija Daukantienė","doi":"10.1177/00405175241260066","DOIUrl":"https://doi.org/10.1177/00405175241260066","url":null,"abstract":"This research critically reviewed the influence of textile characteristics, including textile content (fiber composition), yarn construction, material structure, and treatment type, on microplastic release from textile products during washing. To date, the predominant focus of research has been on the washing parameters rather than the intrinsic characteristics of textiles. The findings of this review revealed that natural, man-made, and mixed-composition fabrics tend to release more microfibers compared to pure synthetic fabrics. Divergent results have been observed in studies on the release of microplastics from recycled synthetic fabrics. Woven fabrics release less microplastic compared to knitted fabrics. However, it is evident that yarn construction has more impact on microplastic release than textile composition or structure, and high-twist filament yarns reduce microplastic formation. Mechanical finishes tend to enhance microplastic release, while synthetic and biodegradable reduce it, but their sustainability and durability aspects need further investigation. The impact of different types of dyes on microplastic release remains unclear. All of the textile characteristics specified in this article are of pivotal importance in microplastic research. Overlooking the significance of any of these details can complicate the development of microplastic mitigation strategies.","PeriodicalId":22323,"journal":{"name":"Textile Research Journal","volume":"38 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141511256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-29DOI: 10.1177/00405175241247806
Shayan Abrishami, Armineh Shirali, Nicole Sharples, Gulsah Ekin Kartal, Lisa Macintyre, Omid Doustdar
The world has been facing a growing crisis in textile waste due to global population growth and improved living conditions, combined with a decrease in the life cycles of textile products. Textile recycling is one of the key aspects for reducing the massive waste problem generated by the fashion and textile industries. Despite the need to develop textile waste recycling industries, acceptable practical interim measures still need to be taken. Textile waste can affect people’s lives economically and environmentally. Producing apparel from natural or synthetic origin can produce pollutants and waste at each stage. In this review article, the effects of the fashion and textile industry have been studied from economic and environmental perspectives. The available technologies and methods for waste recovery and recycling at each stage have been studied, and the uses of products after recycling have been systematically investigated. Despite all the progress made in the waste recycling processes of the fashion industry, many deficiencies and challenges still need to be addressed. Among the most critical challenges are the large scale of industries, the problems of collecting and classifying waste materials, and the presence of contaminants including blends and chemicals. There is also need for more awareness among consumers about the importance of fiber-to-fiber recycling processes, because to date the progress in this field is out of proportion to its necessity. Overall, this article is a valuable resource for anyone interested in understanding the current state of recycling and recovery in the textiles, garment, and fashion industries.
{"title":"Textile Recycling and Recovery: An Eco-friendly Perspective on Textile and Garment Industries Challenges","authors":"Shayan Abrishami, Armineh Shirali, Nicole Sharples, Gulsah Ekin Kartal, Lisa Macintyre, Omid Doustdar","doi":"10.1177/00405175241247806","DOIUrl":"https://doi.org/10.1177/00405175241247806","url":null,"abstract":"The world has been facing a growing crisis in textile waste due to global population growth and improved living conditions, combined with a decrease in the life cycles of textile products. Textile recycling is one of the key aspects for reducing the massive waste problem generated by the fashion and textile industries. Despite the need to develop textile waste recycling industries, acceptable practical interim measures still need to be taken. Textile waste can affect people’s lives economically and environmentally. Producing apparel from natural or synthetic origin can produce pollutants and waste at each stage. In this review article, the effects of the fashion and textile industry have been studied from economic and environmental perspectives. The available technologies and methods for waste recovery and recycling at each stage have been studied, and the uses of products after recycling have been systematically investigated. Despite all the progress made in the waste recycling processes of the fashion industry, many deficiencies and challenges still need to be addressed. Among the most critical challenges are the large scale of industries, the problems of collecting and classifying waste materials, and the presence of contaminants including blends and chemicals. There is also need for more awareness among consumers about the importance of fiber-to-fiber recycling processes, because to date the progress in this field is out of proportion to its necessity. Overall, this article is a valuable resource for anyone interested in understanding the current state of recycling and recovery in the textiles, garment, and fashion industries.","PeriodicalId":22323,"journal":{"name":"Textile Research Journal","volume":"326 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141190675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-26DOI: 10.1177/00405175241256102
Yuan Tian, Zhaoqun Du, Dongming Zheng, Haochen Zou
Twenty down jacket fabrics underwent a subjective multisensory evaluation, including tactile, visual, and auditory aspects, and the subjective and objective style evaluation results were compared and analyzed. The subjective style evaluation of down jacket fabrics was divided into comprehensive sensory evaluation and pure sensory evaluation. Pure sensory evaluation included three ways: pure vision, pure touch, and pure hearing. The comprehensive sensory evaluation was to combine the three to evaluate the fabric. The results showed that the pure sensory evaluation results were not much different from the comprehensive sensory evaluation results, and the correlation was strong. In general, the results of the pure tactile test were more consistent with the results of the comprehensive sensory test. The subjective comprehensive sensory evaluation results had a high linear correlation with the calculation results of the objective comprehensive handle evaluation model, and were negatively correlated. The smaller the calculated value of the model, the better the comprehensive handle of the fabric. It also proved the rationality and validity of the objective model, and the feasibility of the CHES-FY textile handle style evaluation instrument to evaluate the handle of down jacket fabrics.
{"title":"Measurement and evaluation of down jacket fabrics by tactile, visual and auditory sense","authors":"Yuan Tian, Zhaoqun Du, Dongming Zheng, Haochen Zou","doi":"10.1177/00405175241256102","DOIUrl":"https://doi.org/10.1177/00405175241256102","url":null,"abstract":"Twenty down jacket fabrics underwent a subjective multisensory evaluation, including tactile, visual, and auditory aspects, and the subjective and objective style evaluation results were compared and analyzed. The subjective style evaluation of down jacket fabrics was divided into comprehensive sensory evaluation and pure sensory evaluation. Pure sensory evaluation included three ways: pure vision, pure touch, and pure hearing. The comprehensive sensory evaluation was to combine the three to evaluate the fabric. The results showed that the pure sensory evaluation results were not much different from the comprehensive sensory evaluation results, and the correlation was strong. In general, the results of the pure tactile test were more consistent with the results of the comprehensive sensory test. The subjective comprehensive sensory evaluation results had a high linear correlation with the calculation results of the objective comprehensive handle evaluation model, and were negatively correlated. The smaller the calculated value of the model, the better the comprehensive handle of the fabric. It also proved the rationality and validity of the objective model, and the feasibility of the CHES-FY textile handle style evaluation instrument to evaluate the handle of down jacket fabrics.","PeriodicalId":22323,"journal":{"name":"Textile Research Journal","volume":"52 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141167509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-26DOI: 10.1177/00405175241253307
Luoli Xu, Fenying Li, Shan Chang
Convolutional neural networks have been extensively studied in textile fiber recognition. However, the down-sampling performed by the convolutional and pooling layers on the extracted features result in a significant loss of fine-grained fiber features. To address this issue, a multi-head attention framework for fiber recognition has been proposed. First, textile surface images are captured using optical magnifiers and smart devices such as smartphones. Second, fiber features and label embeddings are learned separately by multi-head self-attention. Finally, the label embeddings are used to query the presence of fiber types, and pool type-related features in the multi-head cross-attention module to classify fibers. The experimental results demonstrate that the proposed method performs exceptionally well on the textile surface image dataset, with a mean average precision accuracy improvement of 6% compared with the convolutional neural network-based fiber recognition method Cu-Net, and a 5% improvement compared with the fiber recognition method FiberCT combining convolutional neural networks and attention mechanisms. It is worth mentioning that the fiber images captured at 200× magnification in the collected dataset are most favorable for models to recognize fiber. The proposed method achieves a mean average precision fiber recognition accuracy of 80.2% on images at 200× magnification.
{"title":"A fiber recognition framework based on multi-head attention mechanism","authors":"Luoli Xu, Fenying Li, Shan Chang","doi":"10.1177/00405175241253307","DOIUrl":"https://doi.org/10.1177/00405175241253307","url":null,"abstract":"Convolutional neural networks have been extensively studied in textile fiber recognition. However, the down-sampling performed by the convolutional and pooling layers on the extracted features result in a significant loss of fine-grained fiber features. To address this issue, a multi-head attention framework for fiber recognition has been proposed. First, textile surface images are captured using optical magnifiers and smart devices such as smartphones. Second, fiber features and label embeddings are learned separately by multi-head self-attention. Finally, the label embeddings are used to query the presence of fiber types, and pool type-related features in the multi-head cross-attention module to classify fibers. The experimental results demonstrate that the proposed method performs exceptionally well on the textile surface image dataset, with a mean average precision accuracy improvement of 6% compared with the convolutional neural network-based fiber recognition method Cu-Net, and a 5% improvement compared with the fiber recognition method FiberCT combining convolutional neural networks and attention mechanisms. It is worth mentioning that the fiber images captured at 200× magnification in the collected dataset are most favorable for models to recognize fiber. The proposed method achieves a mean average precision fiber recognition accuracy of 80.2% on images at 200× magnification.","PeriodicalId":22323,"journal":{"name":"Textile Research Journal","volume":"351 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141173195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-26DOI: 10.1177/00405175241252562
Aqsa Rashid, Hasan B Albargi, Muhammad Irfan, Muhammad Bilal Qadir, Awais Ahmed, Ada Ferri, Mohammed Jalalah
The textile sector is widely acknowledged as one of the most environmentally damaging sectors globally, primarily due to its high consumption of water and energy, utilization of chemicals, and the discharge of waste water containing a complex mixture of hazardous substances. The incorporation of nanotechnology, particularly through wet processes involving nano finishes, while enhancing textile functionality, further exacerbates these environmental concerns. Consequently, the exploration and promotion of sustainable methodologies are imperative across all wet treatments in textile processing. Among the potential solutions, sonoprocesses stand out as a promising avenue for mitigating resource consumption, and supporting environmentally friendly synthesis and application of nanomaterials to textiles. Sonoprocesses offer the advantage of carrying processes at low temperature and pressure, and the use of aqueous media instead of organic solvents. This comprehensive review delves into the multifaceted applications of sonoprocesses within the textile realm, with a specific emphasis on the synthesis and application of nanomaterials to textiles. Discussing the diverse applications of sonoprocesses, this study will pave the way for the integration of these techniques within the textile industry, ultimately aiming for widespread adoption on a commercial scale. This will help in promoting sustainable practices and reducing the ecological footprint of the textile sector.
{"title":"Sonoprocesses for sustainable textile processing and nanofinishing: a review","authors":"Aqsa Rashid, Hasan B Albargi, Muhammad Irfan, Muhammad Bilal Qadir, Awais Ahmed, Ada Ferri, Mohammed Jalalah","doi":"10.1177/00405175241252562","DOIUrl":"https://doi.org/10.1177/00405175241252562","url":null,"abstract":"The textile sector is widely acknowledged as one of the most environmentally damaging sectors globally, primarily due to its high consumption of water and energy, utilization of chemicals, and the discharge of waste water containing a complex mixture of hazardous substances. The incorporation of nanotechnology, particularly through wet processes involving nano finishes, while enhancing textile functionality, further exacerbates these environmental concerns. Consequently, the exploration and promotion of sustainable methodologies are imperative across all wet treatments in textile processing. Among the potential solutions, sonoprocesses stand out as a promising avenue for mitigating resource consumption, and supporting environmentally friendly synthesis and application of nanomaterials to textiles. Sonoprocesses offer the advantage of carrying processes at low temperature and pressure, and the use of aqueous media instead of organic solvents. This comprehensive review delves into the multifaceted applications of sonoprocesses within the textile realm, with a specific emphasis on the synthesis and application of nanomaterials to textiles. Discussing the diverse applications of sonoprocesses, this study will pave the way for the integration of these techniques within the textile industry, ultimately aiming for widespread adoption on a commercial scale. This will help in promoting sustainable practices and reducing the ecological footprint of the textile sector.","PeriodicalId":22323,"journal":{"name":"Textile Research Journal","volume":"84 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141167506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-26DOI: 10.1177/00405175241254886
Tao Bai, Yuzhuo Du, Zanjin Wang
The wear resistance and friction reduction of the fabric liner are important for the service life of self-lubricating spherical plain bearings. Basalt fiber was subjected to chemical modification by grafting graphene oxide onto its surface, resulting in the preparation of GO@BF. Polytetrafluoroethylene/basalt fiber and polytetrafluoroethylene/GO@BF fabric liners were prepared, and the tribological properties were investigated. The friction regions of fabric liners were characterized by scanning electron microscopy and energy-dispersive X-ray spectroscopy, and the friction and wear mechanisms were analyzed. The results show that the addition of graphene oxide can effectively improve the friction reduction and abrasion resistance of the fabric liner. During the friction process, graphene oxide and polytetrafluoroethylene transfer film form a synergistic lubrication mechanism, which effectively reduces the formation of abrasive particles on the friction surface, and improves the tribological performance of the fabric liner.
织物衬里的耐磨性和减摩性对自润滑关节轴承的使用寿命非常重要。通过在玄武岩纤维表面接枝氧化石墨烯对其进行化学改性，制备出了 GO@BF。制备了聚四氟乙烯/玄武岩纤维和聚四氟乙烯/GO@BF 织物衬里，并对其摩擦学特性进行了研究。通过扫描电子显微镜和能量色散 X 射线光谱对织物衬里的摩擦区域进行了表征，并分析了摩擦和磨损机理。结果表明，添加氧化石墨烯能有效提高织物衬里的减摩性和耐磨性。在摩擦过程中，氧化石墨烯与聚四氟乙烯转移膜形成协同润滑机制，有效减少了摩擦表面磨粒的形成，提高了织物衬垫的摩擦学性能。
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