With the development of lightweight engineering, load-bearing structures such as synthetic fiber ropes are being increasingly used in engineering projects. During the process of repeated stretching or bending, abrasion occurs between the yarns of fiber assemblies like ropes. Fatigue failure caused by abrasion between yarns is one of the main reasons for the failure of such fiber assemblies. Different chain segments of fiber assemblies exhibit different properties. This study takes the four fibers of flexible chain fibers Ultra-high molecular weight polyethylene (UHMWPE), Polyethylene glycol terephthalate (PET) and rigid chain fibers Poly-p-phenylene terephthamide (PPTA) and Polyarylate (PAR), which are widely used in ropes and cables, as the research materials, and explores the influence of abrasion frequency and yarn tension on different chain segment fibers. To explore the failure and influencing factors of rigid chain and flexible chain fibers abrasion leads to fiber assemblies like those ropes. Based on the observation and analysis of the abrasion zone temperature, yarn state, and wear debris morphology of failed yarns, an abrasion failure mechanism is proposed, providing guidance for the design and application of fatigue-resistant products for ropes.
{"title":"Abrasion performance and failure mechanism of fiber yarns based on molecular segmental differences","authors":"Hongxia Li, Guifang He, Zhengjie Zhao, Qingyang Liu, Junben Wang, Yanzheng Yin, Yuli Cui, Xin Ning, Fanggang Ning","doi":"10.1177/15589250241228263","DOIUrl":"https://doi.org/10.1177/15589250241228263","url":null,"abstract":"With the development of lightweight engineering, load-bearing structures such as synthetic fiber ropes are being increasingly used in engineering projects. During the process of repeated stretching or bending, abrasion occurs between the yarns of fiber assemblies like ropes. Fatigue failure caused by abrasion between yarns is one of the main reasons for the failure of such fiber assemblies. Different chain segments of fiber assemblies exhibit different properties. This study takes the four fibers of flexible chain fibers Ultra-high molecular weight polyethylene (UHMWPE), Polyethylene glycol terephthalate (PET) and rigid chain fibers Poly-p-phenylene terephthamide (PPTA) and Polyarylate (PAR), which are widely used in ropes and cables, as the research materials, and explores the influence of abrasion frequency and yarn tension on different chain segment fibers. To explore the failure and influencing factors of rigid chain and flexible chain fibers abrasion leads to fiber assemblies like those ropes. Based on the observation and analysis of the abrasion zone temperature, yarn state, and wear debris morphology of failed yarns, an abrasion failure mechanism is proposed, providing guidance for the design and application of fatigue-resistant products for ropes.","PeriodicalId":15718,"journal":{"name":"Journal of Engineered Fibers and Fabrics","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140527419","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 : 2024-01-01DOI: 10.1177/15589250241232153
Xuejuan Kang
Due to the complexity of fabric texture, the diversity of defect types and the high real-time requirements of textile enterprises, fabric defect detection is faced with considerable challenges. At present, fabric defect detection algorithms based on deep learning have achieved good results, but there are still some key problems to be solved. Firstly, due to the complex construction of deep learning models and high network complexity, it is difficult to meet the real-time requirements of industrial sites, which limits its application in industrial sites. Secondly, in the face of textile enterprises’ requirements for detection accuracy, how to achieve fabric defect detection through a simpler network model, so as to better balance the accuracy and complexity of deep learning models is a major challenge for textile enterprises and academic researchers. In order to solve these problems, a fabric defect detection method based on lightweight network is proposed in this paper. This method takes lightweight network YOLOv5s model as the infrastructure, integrates Convolution Block Attention Module and Feature Enhancement Module in Backbone part and Neck part respectively, and modifies the loss function of YOLOv5s to CIoU_Loss. Compared with the original YOLOv5s, it makes up for the lack of information extraction ability of the network, improves the speed of model inference and the speed and accuracy of prediction box regression. It provides technical support for the application of lightweight network model in industrial field. The performance of the model is tested by using raw fabric and patterned fabric data sets on the deep learning workstation platform. The experimental results show that when the IoU threshold is 0.5, the mean Accuracy Precision mAP of raw fabric and pattern fabric is 86.4% and 75.8%, respectively, which increases by 7.6% and 1.7% compared with the original YOLOv5s algorithm. The average detection speed is as high as 102 FPS, which can meet the real-time requirement of industrial field target detection.
{"title":"Research on fabric defect detection method based on lightweight network","authors":"Xuejuan Kang","doi":"10.1177/15589250241232153","DOIUrl":"https://doi.org/10.1177/15589250241232153","url":null,"abstract":"Due to the complexity of fabric texture, the diversity of defect types and the high real-time requirements of textile enterprises, fabric defect detection is faced with considerable challenges. At present, fabric defect detection algorithms based on deep learning have achieved good results, but there are still some key problems to be solved. Firstly, due to the complex construction of deep learning models and high network complexity, it is difficult to meet the real-time requirements of industrial sites, which limits its application in industrial sites. Secondly, in the face of textile enterprises’ requirements for detection accuracy, how to achieve fabric defect detection through a simpler network model, so as to better balance the accuracy and complexity of deep learning models is a major challenge for textile enterprises and academic researchers. In order to solve these problems, a fabric defect detection method based on lightweight network is proposed in this paper. This method takes lightweight network YOLOv5s model as the infrastructure, integrates Convolution Block Attention Module and Feature Enhancement Module in Backbone part and Neck part respectively, and modifies the loss function of YOLOv5s to CIoU_Loss. Compared with the original YOLOv5s, it makes up for the lack of information extraction ability of the network, improves the speed of model inference and the speed and accuracy of prediction box regression. It provides technical support for the application of lightweight network model in industrial field. The performance of the model is tested by using raw fabric and patterned fabric data sets on the deep learning workstation platform. The experimental results show that when the IoU threshold is 0.5, the mean Accuracy Precision mAP of raw fabric and pattern fabric is 86.4% and 75.8%, respectively, which increases by 7.6% and 1.7% compared with the original YOLOv5s algorithm. The average detection speed is as high as 102 FPS, which can meet the real-time requirement of industrial field target detection.","PeriodicalId":15718,"journal":{"name":"Journal of Engineered Fibers and Fabrics","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140526334","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 : 2024-01-01DOI: 10.1177/15589250241239247
Oleksander Bondar, Liliia Chertenko, Tatjana Spahiu, E. Shehi
There is a growing trend where footwear is considered a fashion item by increasing in this way the number of footwear products in the market. This is translated to carbon footprints which is a global issue. Reducing the number of footwear can be achieved by focusing on customization. Shifting from mass production to customization is highly supported by digital technologies. A case study of shoe customization in the mass production mode is presented. Implemented in a shoe manufacturing environment, the possibility of using one node of the bottom in combination with various options for the shoe not only results in success in terms of fit and comfort but at the same time promotes sustainable production. This methodology aligns with the sustainability goals in the footwear industry while expanding the range of shoes.
{"title":"Shoe customization in a mass-production mode","authors":"Oleksander Bondar, Liliia Chertenko, Tatjana Spahiu, E. Shehi","doi":"10.1177/15589250241239247","DOIUrl":"https://doi.org/10.1177/15589250241239247","url":null,"abstract":"There is a growing trend where footwear is considered a fashion item by increasing in this way the number of footwear products in the market. This is translated to carbon footprints which is a global issue. Reducing the number of footwear can be achieved by focusing on customization. Shifting from mass production to customization is highly supported by digital technologies. A case study of shoe customization in the mass production mode is presented. Implemented in a shoe manufacturing environment, the possibility of using one node of the bottom in combination with various options for the shoe not only results in success in terms of fit and comfort but at the same time promotes sustainable production. This methodology aligns with the sustainability goals in the footwear industry while expanding the range of shoes.","PeriodicalId":15718,"journal":{"name":"Journal of Engineered Fibers and Fabrics","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140522043","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 : 2024-01-01DOI: 10.1177/15589250241230767
K. Shaker, A. Abbas, Y. Nawab, Muhammad Umair, Muhammad Imran Khan, Z. Zubair, Habib Awais
Continuous fiber-reinforced thermoplastic composites having superior mechanical properties are preferred for lightweight architectures. Rising demands for enhanced mechanical performance under certain types of loadings have focused researchers toward the hybridization of composite materials. In this study carbon and aramid fibers were employed to produce hybrid fabrics by weaving in two different woven architectures, 1/1 plain and 2/1 twill. Polyvinyl butyral (PVB) matrix was reinforced with these woven fabrics and hybrid composites were fabricated by compression molding. Un-hybrid carbon and aramid composites were fabricated using PVB matrix, as control samples. Tensile characteristics of hybrid composites offered intermediate strain at failures of 0.5% due to the combined rigid and ductile natures of carbon and aramid, respectively. Flexural strength and absorbed impact energy (200 MPa and 97 kJ/m2) were higher for hybrid composites, and quick elastic recoveries were experienced in hybrid composites after impact. Plain woven reinforced hybridization had about 25% and 5% lower tensile and flexural characteristics respectively, as more interlocking zones of warp and weft yarns reduced strength. However, these interlocking zones positively contributed to impact performance by 11.5% higher energy absorption.
{"title":"Impact of weave architecture on the mechanical performance of carbon-aramid/PVB hybrid composites","authors":"K. Shaker, A. Abbas, Y. Nawab, Muhammad Umair, Muhammad Imran Khan, Z. Zubair, Habib Awais","doi":"10.1177/15589250241230767","DOIUrl":"https://doi.org/10.1177/15589250241230767","url":null,"abstract":"Continuous fiber-reinforced thermoplastic composites having superior mechanical properties are preferred for lightweight architectures. Rising demands for enhanced mechanical performance under certain types of loadings have focused researchers toward the hybridization of composite materials. In this study carbon and aramid fibers were employed to produce hybrid fabrics by weaving in two different woven architectures, 1/1 plain and 2/1 twill. Polyvinyl butyral (PVB) matrix was reinforced with these woven fabrics and hybrid composites were fabricated by compression molding. Un-hybrid carbon and aramid composites were fabricated using PVB matrix, as control samples. Tensile characteristics of hybrid composites offered intermediate strain at failures of 0.5% due to the combined rigid and ductile natures of carbon and aramid, respectively. Flexural strength and absorbed impact energy (200 MPa and 97 kJ/m2) were higher for hybrid composites, and quick elastic recoveries were experienced in hybrid composites after impact. Plain woven reinforced hybridization had about 25% and 5% lower tensile and flexural characteristics respectively, as more interlocking zones of warp and weft yarns reduced strength. However, these interlocking zones positively contributed to impact performance by 11.5% higher energy absorption.","PeriodicalId":15718,"journal":{"name":"Journal of Engineered Fibers and Fabrics","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140516326","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 : 2024-01-01DOI: 10.1177/15589250241226480
J. Ahmad, Yasir Mohammed Jebur, Muhammad Tayyab Naqash, Muhammad Sheraz, Ahmed Hakamy, Ahmed Farouk Deifalla
Concrete is weak in tension, causing brittle failure without warning. Fiber is one of the simplest techniques to increase tensile strain. Several kinds of fibers (synthetic) are available such as steel fiber, glass fiber, and carbon fiber. However, these fibers are expensive and cannot be easily accessible. Researchers use agricultural fiber in concrete instead of synthetic fibers to offset this deficiency. Although, several studies have shown that agricultural fiber may be utilized to increase concrete tensile strength. However, a details review is required which combines all relevant information and the reader can evaluate the benefits of agricultural fiber. Therefore, this review focus on a comprehensive and up-to-date overview of the impact of agricultural fiber on concrete slump flow, mechanical quality, and durability. Furthermore, scanning electronic microscopy, enhancement methods, and agricultural fiber-reinforced concrete (AFRC) applications are also reviewed. Five different types of agricultural fiber including coconut, jute, banana, rice straw, and hemp fibers were selected. According to the findings, agricultural fiber increased concrete’s mechanical and durability qualities while comparably decreasing the slump. The optimum dose is essential as the higher dose adversely affects mechanical performance. The typical optimum amount varies from 1% to 2% by weight/volume of the binder. Among various types of agricultural fiber, coconut fiber is super performance. Less research is carried out on hemp, straw ash, and banana fibers than on coconut and jute fibers.
{"title":"Improvement in the strength of concrete reinforced with agriculture fibers: Assessment on mechanical properties and microstructure analysis","authors":"J. Ahmad, Yasir Mohammed Jebur, Muhammad Tayyab Naqash, Muhammad Sheraz, Ahmed Hakamy, Ahmed Farouk Deifalla","doi":"10.1177/15589250241226480","DOIUrl":"https://doi.org/10.1177/15589250241226480","url":null,"abstract":"Concrete is weak in tension, causing brittle failure without warning. Fiber is one of the simplest techniques to increase tensile strain. Several kinds of fibers (synthetic) are available such as steel fiber, glass fiber, and carbon fiber. However, these fibers are expensive and cannot be easily accessible. Researchers use agricultural fiber in concrete instead of synthetic fibers to offset this deficiency. Although, several studies have shown that agricultural fiber may be utilized to increase concrete tensile strength. However, a details review is required which combines all relevant information and the reader can evaluate the benefits of agricultural fiber. Therefore, this review focus on a comprehensive and up-to-date overview of the impact of agricultural fiber on concrete slump flow, mechanical quality, and durability. Furthermore, scanning electronic microscopy, enhancement methods, and agricultural fiber-reinforced concrete (AFRC) applications are also reviewed. Five different types of agricultural fiber including coconut, jute, banana, rice straw, and hemp fibers were selected. According to the findings, agricultural fiber increased concrete’s mechanical and durability qualities while comparably decreasing the slump. The optimum dose is essential as the higher dose adversely affects mechanical performance. The typical optimum amount varies from 1% to 2% by weight/volume of the binder. Among various types of agricultural fiber, coconut fiber is super performance. Less research is carried out on hemp, straw ash, and banana fibers than on coconut and jute fibers.","PeriodicalId":15718,"journal":{"name":"Journal of Engineered Fibers and Fabrics","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140524725","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 : 2024-01-01DOI: 10.1177/15589250241226585
Muntaha Rafiq, Aqsa Imran, A. Rasheed, S. Zaman
An antenna is a medium of communication in electronic systems and one of its branches is known as wearable antenna (embedded in clothing or other wearables). Antennas are found in a wide range of applications such as medical, military, sports, safety, fitness, satellite communication etc. Textile based antennas are considered a replacement of conventional communication systems in E-textiles as they are more flexible and comfortable as compared to their metallic counterparts and more efficient than transmission wires. Electronic wiring which is commonly used for data transmission is susceptible to damage because of bending or stretching in wearables and may cause interferences between signals and time delays. One of the most significant advantages of wearable antennas is the reduction of bulk of electronic components as they can act as a sensor and communicator at a time. The cost can also be reduced this way. The current work focuses on the review of different manufacturing techniques for wearable antennas. The scope of this review is to highlight main techniques, their advantages and limitations in comparison with each other as well as to describe the available solutions of associated problems. The findings of this review could be fruitful for researchers to find out the best manufacturing technique for antennas in their perspective. [Formula: see text]
{"title":"A review on the manufacturing techniques for textile based antennas","authors":"Muntaha Rafiq, Aqsa Imran, A. Rasheed, S. Zaman","doi":"10.1177/15589250241226585","DOIUrl":"https://doi.org/10.1177/15589250241226585","url":null,"abstract":"An antenna is a medium of communication in electronic systems and one of its branches is known as wearable antenna (embedded in clothing or other wearables). Antennas are found in a wide range of applications such as medical, military, sports, safety, fitness, satellite communication etc. Textile based antennas are considered a replacement of conventional communication systems in E-textiles as they are more flexible and comfortable as compared to their metallic counterparts and more efficient than transmission wires. Electronic wiring which is commonly used for data transmission is susceptible to damage because of bending or stretching in wearables and may cause interferences between signals and time delays. One of the most significant advantages of wearable antennas is the reduction of bulk of electronic components as they can act as a sensor and communicator at a time. The cost can also be reduced this way. The current work focuses on the review of different manufacturing techniques for wearable antennas. The scope of this review is to highlight main techniques, their advantages and limitations in comparison with each other as well as to describe the available solutions of associated problems. The findings of this review could be fruitful for researchers to find out the best manufacturing technique for antennas in their perspective. [Formula: see text]","PeriodicalId":15718,"journal":{"name":"Journal of Engineered Fibers and Fabrics","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139631680","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 : 2024-01-01DOI: 10.1177/15589250231183159
Shubin Zhang, Hongxing Gu, Ming Zhao, Huaiqin Xie, Yudong Huang
In order to evaluate the effects of sizing agents on the wettability, strength loss, and properties of final filament wound structures during filament winding of carbon fibers, three types of sizing agent based on epoxy, epoxy + polyester, and epoxy + polyurethane were used to treat carbon fibers, the surface properties of carbon fiber samples after treatment were evaluated using SEM, infrared spectroscopy, dynamic contact angle analysis, and interlaminar shear strength (ILSS) test, the strength loss caused by fiber damage during filament winding was quantitatively analyzed, and the strength properties of the filament wound structures were characterized by NOL ring test. The results showed that the sizing agent treatment only slightly improved the surface free energy and ILSS of carbon fibers, but it had obvious influence on the strength loss rate of carbon fiber bundles. Added polyester or polyurethane in epoxy-based sizing may improve its protective effect for carbon fiber, and thus decrease strength loss during winding process, result in better tensile properties of carbon fiber filament wound structures.
{"title":"Effect of sizing agents on tensile properties of carbon fiber filament wound structures","authors":"Shubin Zhang, Hongxing Gu, Ming Zhao, Huaiqin Xie, Yudong Huang","doi":"10.1177/15589250231183159","DOIUrl":"https://doi.org/10.1177/15589250231183159","url":null,"abstract":"In order to evaluate the effects of sizing agents on the wettability, strength loss, and properties of final filament wound structures during filament winding of carbon fibers, three types of sizing agent based on epoxy, epoxy + polyester, and epoxy + polyurethane were used to treat carbon fibers, the surface properties of carbon fiber samples after treatment were evaluated using SEM, infrared spectroscopy, dynamic contact angle analysis, and interlaminar shear strength (ILSS) test, the strength loss caused by fiber damage during filament winding was quantitatively analyzed, and the strength properties of the filament wound structures were characterized by NOL ring test. The results showed that the sizing agent treatment only slightly improved the surface free energy and ILSS of carbon fibers, but it had obvious influence on the strength loss rate of carbon fiber bundles. Added polyester or polyurethane in epoxy-based sizing may improve its protective effect for carbon fiber, and thus decrease strength loss during winding process, result in better tensile properties of carbon fiber filament wound structures.","PeriodicalId":15718,"journal":{"name":"Journal of Engineered Fibers and Fabrics","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139455414","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 efficient use of fibers derived from natural sources is the main goal of this research project. However, the priority on natural fibers falls short of meeting the necessary strength requirements. The goal of this work is to empirically analyze composite materials made with sugarcane bagasse and jute natural fibers as reinforcement, and PVA as the matrix. The goal is to examine the various mechanical and thermal insulating properties of Bagasse fiber/jute fiber composites to determine their application in technical domains. To carry out this investigation, a series of five hybrid composites were developed, each containing 65% polyvinyl acetate and varying the blend proportion of bagasse fiber and jute fiber: 100% /0%, 70%/30%, 50%/50%, 30%/70%, and 0%/100%. Compression molding was used as the fabrication technique. These composites’ resulting mechanical characteristics followed a critical analysis by ASTM standards. Through SEM analysis, the fiber shape, internal fracture forms, and binding properties were investigated. The results of the study showed that the tensile strength of composites made of bagasse and jute fibers is 265.80 MPa, which is close to the strength (270.10 MPa) displayed by composites made of synthetic fibers. Significantly, compared to the other configurations, the composites made up of 70% jute and 30% bagasse fibers exhibit a higher thermal insulation coefficient. Furthermore, compared to the other samples, these 70/30 composites had better impact resistance and flexural strength.
{"title":"Studies on sugarcane bagasse/jute fibers reinforced bio-composites for functional thermal insulation materials","authors":"Ariharasudhan S, Sundaresan S, S. Selvaraj, Ramratan, Amare Worku, Sakthivel Santhanam","doi":"10.1177/15589250231223464","DOIUrl":"https://doi.org/10.1177/15589250231223464","url":null,"abstract":"The efficient use of fibers derived from natural sources is the main goal of this research project. However, the priority on natural fibers falls short of meeting the necessary strength requirements. The goal of this work is to empirically analyze composite materials made with sugarcane bagasse and jute natural fibers as reinforcement, and PVA as the matrix. The goal is to examine the various mechanical and thermal insulating properties of Bagasse fiber/jute fiber composites to determine their application in technical domains. To carry out this investigation, a series of five hybrid composites were developed, each containing 65% polyvinyl acetate and varying the blend proportion of bagasse fiber and jute fiber: 100% /0%, 70%/30%, 50%/50%, 30%/70%, and 0%/100%. Compression molding was used as the fabrication technique. These composites’ resulting mechanical characteristics followed a critical analysis by ASTM standards. Through SEM analysis, the fiber shape, internal fracture forms, and binding properties were investigated. The results of the study showed that the tensile strength of composites made of bagasse and jute fibers is 265.80 MPa, which is close to the strength (270.10 MPa) displayed by composites made of synthetic fibers. Significantly, compared to the other configurations, the composites made up of 70% jute and 30% bagasse fibers exhibit a higher thermal insulation coefficient. Furthermore, compared to the other samples, these 70/30 composites had better impact resistance and flexural strength.","PeriodicalId":15718,"journal":{"name":"Journal of Engineered Fibers and Fabrics","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140520718","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 : 2024-01-01DOI: 10.1177/15589250241228266
Yoojeong Lee, Y. Kang, Sungmin Kim
This study aims to develop a process that automatically extracts various flat sketch elements in vector format from clothing images. The approach of this study is to combine state-of-the-art image processing algorithms with the new algorithm devised in this study. First, a convolutional neural network based edge detection model trained with specially prepared fashion image data set was used to convert clothing images into edge maps. Then, a recurrent neural network based vectorization model and a rule-based image correction algorithm were used to convert the edge map into a vector image. Finally, a graph search algorithm was used to extract closed shapes from the vector image. As a result, the accuracy of edge extraction model has been improved by training with the special fashion image data set. The image correction rule was able to refine the vector images generated by the vectorization model. The graph algorithm was able to extract closed shapes from the vector image. This study is the first study to extract vector style flat sketch elements from clothing images using artificial intelligence and conventional computational geometry.
{"title":"Automatic extraction of flat sketch design element from clothing images using artificial intelligence","authors":"Yoojeong Lee, Y. Kang, Sungmin Kim","doi":"10.1177/15589250241228266","DOIUrl":"https://doi.org/10.1177/15589250241228266","url":null,"abstract":"This study aims to develop a process that automatically extracts various flat sketch elements in vector format from clothing images. The approach of this study is to combine state-of-the-art image processing algorithms with the new algorithm devised in this study. First, a convolutional neural network based edge detection model trained with specially prepared fashion image data set was used to convert clothing images into edge maps. Then, a recurrent neural network based vectorization model and a rule-based image correction algorithm were used to convert the edge map into a vector image. Finally, a graph search algorithm was used to extract closed shapes from the vector image. As a result, the accuracy of edge extraction model has been improved by training with the special fashion image data set. The image correction rule was able to refine the vector images generated by the vectorization model. The graph algorithm was able to extract closed shapes from the vector image. This study is the first study to extract vector style flat sketch elements from clothing images using artificial intelligence and conventional computational geometry.","PeriodicalId":15718,"journal":{"name":"Journal of Engineered Fibers and Fabrics","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140516464","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}
Nowadays, the safety of special children has gradually become a hot spot of social concern. In this paper, aiming at the problems of autism spectrum disorder children who are easy to get lost and drown, intelligent monitoring clothing with lost warning and drowning rescue functions is designed. Firstly a clothing technology system based on multi-MCU and BeiDou dual-mode positioning was set up. Then according to their characteristics of physiology and psychology, CLO was used for virtual simulation design of color, pattern, and style of sample clothes. Finally, the product prototype of intelligent monitoring clothing was evaluated from various aspects. The results confirm that the clothing can meet the physical and psychological needs of these children. Its intelligent sensor positioning, data acquisition and transmission, and waterproof and rescue functions are designed accurately, which can not only play an early warning and protection role when children go beyond the fence and drown, but also reduce the monitoring burden of parents to a certain extent. This study also provides a reference for the design of intelligent monitoring clothing for special children.
{"title":"Physical and mental safety monitoring and protection of children with autism spectrum disorder: Intelligent clothing integrating early warning and rescue","authors":"Xinzhou Wu, Jiayi Chen, Zhe Cheng, Xiaoyu Liu, Yifan Wang, Wenzhuo Liu, Xuewei Jiang","doi":"10.1177/15589250231224969","DOIUrl":"https://doi.org/10.1177/15589250231224969","url":null,"abstract":"Nowadays, the safety of special children has gradually become a hot spot of social concern. In this paper, aiming at the problems of autism spectrum disorder children who are easy to get lost and drown, intelligent monitoring clothing with lost warning and drowning rescue functions is designed. Firstly a clothing technology system based on multi-MCU and BeiDou dual-mode positioning was set up. Then according to their characteristics of physiology and psychology, CLO was used for virtual simulation design of color, pattern, and style of sample clothes. Finally, the product prototype of intelligent monitoring clothing was evaluated from various aspects. The results confirm that the clothing can meet the physical and psychological needs of these children. Its intelligent sensor positioning, data acquisition and transmission, and waterproof and rescue functions are designed accurately, which can not only play an early warning and protection role when children go beyond the fence and drown, but also reduce the monitoring burden of parents to a certain extent. This study also provides a reference for the design of intelligent monitoring clothing for special children.","PeriodicalId":15718,"journal":{"name":"Journal of Engineered Fibers and Fabrics","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139632821","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：