Pub Date : 2023-12-22DOI: 10.1177/24723444231215446
Assad Farooq, Ifra Shahzadi, M. A. Ashraf, Farida Irshad, Nayab Khan
Microwaves have a very short wavelength which allows them to pass through the small spaces between molecules without being scattered. This allows the microwaves to penetrate the matter and heat it from the inside out, providing uniform heat, and makes microwave technology ideal for applications that require rapid and consistent heating. It has been hypothesized that microwaves may have a positive effect on the shade depth and color fastness of the fabric due to the increased temperature. This research is being done to test this hypothesis and to study the effects of microwaves on the shade depth and color fastness properties of the fabric. Microwave-irradiated fabric dyed before and after dyeing has a greater shade depth and better fastness properties than fabric dyed without irradiation.
{"title":"Effect of Microwave Irradiation on Coloring and Mechanical Properties of Direct Dyed Fabric","authors":"Assad Farooq, Ifra Shahzadi, M. A. Ashraf, Farida Irshad, Nayab Khan","doi":"10.1177/24723444231215446","DOIUrl":"https://doi.org/10.1177/24723444231215446","url":null,"abstract":"Microwaves have a very short wavelength which allows them to pass through the small spaces between molecules without being scattered. This allows the microwaves to penetrate the matter and heat it from the inside out, providing uniform heat, and makes microwave technology ideal for applications that require rapid and consistent heating. It has been hypothesized that microwaves may have a positive effect on the shade depth and color fastness of the fabric due to the increased temperature. This research is being done to test this hypothesis and to study the effects of microwaves on the shade depth and color fastness properties of the fabric. Microwave-irradiated fabric dyed before and after dyeing has a greater shade depth and better fastness properties than fabric dyed without irradiation.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":"41 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138946615","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 : 2023-12-21DOI: 10.1177/24723444231201452
Ritwik Chakraborty, Ashis Kumar Samanta, P. S. Vankar
Natural dye was extracted from the petals of orange-colored marigold flowers in aqueous medium, and extraction process parameters were optimized based on the color yield (optical density) of an aqueous extract of marigold petals. The extracted natural colorant was used to dye jute fabric and characterized by ultraviolet–visible spectroscopy. Extracts from gallnut and natural alum (fitkiri) were applied as mordants onto the bleached jute fabric by padding method followed by drying in air. The fabrics were treated with the mordants separately before dyeing, and then, both mordants were applied in sequence. Jute was premordanted first with gallnut followed by alum. Jute fibers were mordanted prior to dyeing with either gallnut or alum or both mordants (gallnut followed by alum treatment). Premordanted jute fabric was dyed with the natural dye extracted from marigold petals, and process conditions were standardized. The dual-mordanting process was found more effective to produce better color yield than the single mordanting process. Standardization of the process conditions was also examined statistically by the Box–Behnken design method after choosing the significant variables by the Plackett–Burman design method. The standardized dyeing process conditions were found to be dyeing temperature: 90°C; material to liquor ratio: 1:40; dyeing time: 60 min; dye concentration: 30% o.w.f.; and pH: 11.
{"title":"Statistical Optimization of Process Variables for the Dyeing of Jute with Marigold Petals Using a Dual Mordant System","authors":"Ritwik Chakraborty, Ashis Kumar Samanta, P. S. Vankar","doi":"10.1177/24723444231201452","DOIUrl":"https://doi.org/10.1177/24723444231201452","url":null,"abstract":"Natural dye was extracted from the petals of orange-colored marigold flowers in aqueous medium, and extraction process parameters were optimized based on the color yield (optical density) of an aqueous extract of marigold petals. The extracted natural colorant was used to dye jute fabric and characterized by ultraviolet–visible spectroscopy. Extracts from gallnut and natural alum (fitkiri) were applied as mordants onto the bleached jute fabric by padding method followed by drying in air. The fabrics were treated with the mordants separately before dyeing, and then, both mordants were applied in sequence. Jute was premordanted first with gallnut followed by alum. Jute fibers were mordanted prior to dyeing with either gallnut or alum or both mordants (gallnut followed by alum treatment). Premordanted jute fabric was dyed with the natural dye extracted from marigold petals, and process conditions were standardized. The dual-mordanting process was found more effective to produce better color yield than the single mordanting process. Standardization of the process conditions was also examined statistically by the Box–Behnken design method after choosing the significant variables by the Plackett–Burman design method. The standardized dyeing process conditions were found to be dyeing temperature: 90°C; material to liquor ratio: 1:40; dyeing time: 60 min; dye concentration: 30% o.w.f.; and pH: 11.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":"64 3","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138950579","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 : 2023-12-15DOI: 10.1177/24723444231206855
Jingru Chen, Liujun Pei, Wenhua Shi, Muhammad Asad Saleem, Chenjia Jiao, Hongjuan Zhang, Jiping Wang
Compared with traditional water-based dyeing, non-aqueous medium dyeing technology has been paid more and more attention in the textile dyeing industry because of its advantages of saving water and chemicals. In order to distinguish and identify water bath dyeing products and non-aqueous medium dyeing products, a traceability technology method for non-aqueous medium dyeing products was established with rare earth elements. First, traceable materials for two typical fibers, polyester and cotton, were selected from five rare earth elements: La, Ce, Nd, Eu, and Sm. Rare earth elements were added to mark products during the non-aqueous dyeing process. Then the rare earth elements content of marked products was detected by inductively coupled plasma–optical emission spectrometry, which was used to identify non-aqueous media products. The influence of this traceability method on the basic properties of dyed fabrics was studied. Compared with traditional anti-counterfeiting technologies such as label anti-counterfeiting and query label anti-counterfeiting, the method of inductively coupled plasma–optical emission spectrometry has a low method detection limit in the range of 0.0204–0.036 mg/kg, and a good relative standard deviation values in the range of 0.69–2.43%. The content of rare earth elements in dyed fabrics was detected by inductively coupled plasma–optical emission spectrometry at 6–7 mg/kg when 10 mg/kg of rare earth elements were employed during dyeing. Therefore, a detection and certification method for non-aqueous dyeing products has been established, which is of great significance to the anti-counterfeiting traceability of non-aqueous medium dyeing technology.
{"title":"Application of Rare Earth Marking on Anti-counterfeiting Waterless/Less-Water Dyeing Technology","authors":"Jingru Chen, Liujun Pei, Wenhua Shi, Muhammad Asad Saleem, Chenjia Jiao, Hongjuan Zhang, Jiping Wang","doi":"10.1177/24723444231206855","DOIUrl":"https://doi.org/10.1177/24723444231206855","url":null,"abstract":"Compared with traditional water-based dyeing, non-aqueous medium dyeing technology has been paid more and more attention in the textile dyeing industry because of its advantages of saving water and chemicals. In order to distinguish and identify water bath dyeing products and non-aqueous medium dyeing products, a traceability technology method for non-aqueous medium dyeing products was established with rare earth elements. First, traceable materials for two typical fibers, polyester and cotton, were selected from five rare earth elements: La, Ce, Nd, Eu, and Sm. Rare earth elements were added to mark products during the non-aqueous dyeing process. Then the rare earth elements content of marked products was detected by inductively coupled plasma–optical emission spectrometry, which was used to identify non-aqueous media products. The influence of this traceability method on the basic properties of dyed fabrics was studied. Compared with traditional anti-counterfeiting technologies such as label anti-counterfeiting and query label anti-counterfeiting, the method of inductively coupled plasma–optical emission spectrometry has a low method detection limit in the range of 0.0204–0.036 mg/kg, and a good relative standard deviation values in the range of 0.69–2.43%. The content of rare earth elements in dyed fabrics was detected by inductively coupled plasma–optical emission spectrometry at 6–7 mg/kg when 10 mg/kg of rare earth elements were employed during dyeing. Therefore, a detection and certification method for non-aqueous dyeing products has been established, which is of great significance to the anti-counterfeiting traceability of non-aqueous medium dyeing technology.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":"31 s1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138998727","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 : 2023-11-09DOI: 10.1177/24723444231201443
Xue Li, Lirong Sun, Jianhua Zhang, Xin Li, Yi Yang, Lisha Zhu, Ying Zhang, Laili Wang
The raw material acquisition stage of wool involves raising sheep and a large amount of input and output, resulting in substantial greenhouse gas emissions. To date, the research literature on wool carbon footprint is limited, and there is a lack of research on Victoria. These studies did not consider the influence of changes in weight and productive lifespan. This study aims to address this knowledge gap by calculating the wool carbon footprint in Victoria and improving the calculation method. In this article, 20,000 sheep in Victoria were investigated. The average weights of the sheep were obtained by curve fitting and calculating. Two scenarios with 5-year and 6-year productive lifespans were used to calculate the carbon footprint of merino wool by the mass allocation method, economic allocation method, and protein mass allocation method. Results revealed that the carbon footprint of wool for the 5-year and 6-year productive lifespans were 14.158–49.040 kg carbon dioxide equivalent (CO 2 -e)/kg wool and 16.743–52.882 kg CO 2 -e/kg wool. Rumination and excretion accounted for the largest proportion, followed by phosphate fertilizer, electricity, and potash fertilizer. The longer the productive lifespan and the heavier the sheep, the greater the greenhouse gas emissions from rumination and excretion, leading to a larger carbon footprint for wool. For the same productive lifespan, the economic allocation method produced the highest carbon footprint for wool compared to the mass allocation method, which produced the lowest carbon footprint. This study provides a reference for the subsequent carbon footprint accounting of wool from cradle to farm-gate and helps the wool industry save energy and reduce emissions.
羊毛的原料获取阶段涉及养羊和大量的投入产出，造成大量的温室气体排放。迄今为止，关于羊毛碳足迹的研究文献有限，对维多利亚的研究较少。这些研究没有考虑体重和生产寿命变化的影响。本研究旨在通过计算维多利亚州的羊毛碳足迹和改进计算方法来解决这一知识差距。本文对维多利亚州的2万只羊进行了调查。通过曲线拟合和计算得到绵羊的平均体重。采用5年和6年生产寿命两种情景，分别采用质量分配法、经济分配法和蛋白质质量分配法计算美利奴羊毛的碳足迹。结果表明，羊毛5年和6年生产寿命的碳足迹分别为14.158 ~ 49.040 kg co2当量/kg羊毛和16.743 ~ 52.882 kg co2当量/kg羊毛。反刍和排泄所占比例最大，其次是磷肥、电、钾肥。绵羊的生产寿命越长，体重越重，反刍和排泄产生的温室气体排放量就越大，导致羊毛的碳足迹更大。对于相同的生产寿命，与产生最低碳足迹的质量分配方法相比，经济分配方法产生的羊毛碳足迹最高。本研究为后续羊毛从摇篮到农场大门的碳足迹核算提供参考，有助于羊毛行业节能减排。
{"title":"Carbon Footprint of Wool at Cradle to Farm-Gate Stage in Victoria, Australia","authors":"Xue Li, Lirong Sun, Jianhua Zhang, Xin Li, Yi Yang, Lisha Zhu, Ying Zhang, Laili Wang","doi":"10.1177/24723444231201443","DOIUrl":"https://doi.org/10.1177/24723444231201443","url":null,"abstract":"The raw material acquisition stage of wool involves raising sheep and a large amount of input and output, resulting in substantial greenhouse gas emissions. To date, the research literature on wool carbon footprint is limited, and there is a lack of research on Victoria. These studies did not consider the influence of changes in weight and productive lifespan. This study aims to address this knowledge gap by calculating the wool carbon footprint in Victoria and improving the calculation method. In this article, 20,000 sheep in Victoria were investigated. The average weights of the sheep were obtained by curve fitting and calculating. Two scenarios with 5-year and 6-year productive lifespans were used to calculate the carbon footprint of merino wool by the mass allocation method, economic allocation method, and protein mass allocation method. Results revealed that the carbon footprint of wool for the 5-year and 6-year productive lifespans were 14.158–49.040 kg carbon dioxide equivalent (CO 2 -e)/kg wool and 16.743–52.882 kg CO 2 -e/kg wool. Rumination and excretion accounted for the largest proportion, followed by phosphate fertilizer, electricity, and potash fertilizer. The longer the productive lifespan and the heavier the sheep, the greater the greenhouse gas emissions from rumination and excretion, leading to a larger carbon footprint for wool. For the same productive lifespan, the economic allocation method produced the highest carbon footprint for wool compared to the mass allocation method, which produced the lowest carbon footprint. This study provides a reference for the subsequent carbon footprint accounting of wool from cradle to farm-gate and helps the wool industry save energy and reduce emissions.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":" 46","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135244563","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 : 2023-10-29DOI: 10.1177/24723444231206854
Zhengrui Yang, Yan Liu, Qiang Li, Rong Li
Effective and environmentally friendly air filters to preserve public health are essential given the particle matter pollution epidemic that has permanently damaged human health. This study used blending spinning to create a unique polyvinylidene fluoride/keratin electret filter with reliable PM0.3 reduction and comprehensive features. More specifically, adding keratin derived from natural wool significantly increased composite fibrous membranes’ pore structure and surface charge. Keratin and polyvinylidene fluoride work together synergistically to produce a fiber membrane that exhibits good filtration performance with a quality factor of 0.04662 /Pa, a low pressure drop of 127 Pa, and a high particle removal capacity of 99.731%. The development of this electret material provides a new approach for the design of environmentally friendly air filters for efficient removal of PM0.3.
{"title":"A Novel Polyvinylidene Fluoride/Keratin Electret Filter With Comprehensive Performance and High-Efficiency PM0.3 Removal","authors":"Zhengrui Yang, Yan Liu, Qiang Li, Rong Li","doi":"10.1177/24723444231206854","DOIUrl":"https://doi.org/10.1177/24723444231206854","url":null,"abstract":"Effective and environmentally friendly air filters to preserve public health are essential given the particle matter pollution epidemic that has permanently damaged human health. This study used blending spinning to create a unique polyvinylidene fluoride/keratin electret filter with reliable PM0.3 reduction and comprehensive features. More specifically, adding keratin derived from natural wool significantly increased composite fibrous membranes’ pore structure and surface charge. Keratin and polyvinylidene fluoride work together synergistically to produce a fiber membrane that exhibits good filtration performance with a quality factor of 0.04662 /Pa, a low pressure drop of 127 Pa, and a high particle removal capacity of 99.731%. The development of this electret material provides a new approach for the design of environmentally friendly air filters for efficient removal of PM0.3.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":"20 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136134898","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}
Two novel halogenated triazine amine N-halamine antimicrobial precursors, sulfuric acid mono-(2-{4-[4-chloro-6-(2,2,6,6-tetramethyl-piperidin-4-yloxy)-[1,3,5]triazin-2-ylamino]-benzenesulfonyl}-ethyl) ester sodium (PT) and sulfuric acid mono-(2-{4-[4-(3-pyridinecarboxylic sodium)-6-(2,2,6,6-tetramethyl-piperidin-4-yloxy)-[1,3,5]triazin-2-ylamino]-benzenesulfonyl}-ethyl) ester sodium (CPT), were designed, synthesized, and applied onto cotton fabrics to obtain antibacterial properties. The molecular structures of PT and CPT contained two reactive groups of vinyl sulfone and nicotinic acid, which increased the reaction with cotton fabrics compared with other antibacterial agents. The dyeing process of reactive dye was selected as the finishing method due to the similar structures of antibacterial agents to bifunctional group reactive dyes. The treated cotton fabrics were chlorinated with sodium hypochlorite to obtain antibacterial functionality. The chlorinated fabrics achieved outstanding antibacterial properties against Escherichia coli O157:H7 and Staphylococcus aureus with short contact time. Moreover, the stability measurement exhibited that the chlorine on the samples could be repaired by the diluted sodium hypochlorite solution after washing and long-time storage. In addition, the mild low-temperature process reduced fabric damage, and only about 10% and 15% of the original tensile strength was missing after finishing and chlorination in both the warp and weft directions. Compared to the traditional pad–dry–cure technique, the process developed of antimicrobial cotton had some advantages such as low salt, energy savings, and maintaining tensile strength.
{"title":"Preparation of Highly Effective Antibacterial Cotton Fabrics Based on Bifunctional Reactive <i>N</i>-Halamine","authors":"Que Kong, Tong Mu, Zhiguang Li, Dong Liang, Xuehong Ren, Tung-Shi Huang","doi":"10.1177/24723444231201446","DOIUrl":"https://doi.org/10.1177/24723444231201446","url":null,"abstract":"Two novel halogenated triazine amine N-halamine antimicrobial precursors, sulfuric acid mono-(2-{4-[4-chloro-6-(2,2,6,6-tetramethyl-piperidin-4-yloxy)-[1,3,5]triazin-2-ylamino]-benzenesulfonyl}-ethyl) ester sodium (PT) and sulfuric acid mono-(2-{4-[4-(3-pyridinecarboxylic sodium)-6-(2,2,6,6-tetramethyl-piperidin-4-yloxy)-[1,3,5]triazin-2-ylamino]-benzenesulfonyl}-ethyl) ester sodium (CPT), were designed, synthesized, and applied onto cotton fabrics to obtain antibacterial properties. The molecular structures of PT and CPT contained two reactive groups of vinyl sulfone and nicotinic acid, which increased the reaction with cotton fabrics compared with other antibacterial agents. The dyeing process of reactive dye was selected as the finishing method due to the similar structures of antibacterial agents to bifunctional group reactive dyes. The treated cotton fabrics were chlorinated with sodium hypochlorite to obtain antibacterial functionality. The chlorinated fabrics achieved outstanding antibacterial properties against Escherichia coli O157:H7 and Staphylococcus aureus with short contact time. Moreover, the stability measurement exhibited that the chlorine on the samples could be repaired by the diluted sodium hypochlorite solution after washing and long-time storage. In addition, the mild low-temperature process reduced fabric damage, and only about 10% and 15% of the original tensile strength was missing after finishing and chlorination in both the warp and weft directions. Compared to the traditional pad–dry–cure technique, the process developed of antimicrobial cotton had some advantages such as low salt, energy savings, and maintaining tensile strength.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134943947","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 : 2023-10-06DOI: 10.1177/24723444231201441
Zhiqi Yu, Xiaowei Sheng, Guosheng Xie, Yang Xu, Yize Sun
Due to the suboptimal efficiency, accuracy, and increasing costs of manual defect detection in the textile industry, online visual inspection for fabric defects has emerged as an essential and promising research area. However, challenges such as the lack of defective samples and issues with industrial deployment still persist. This paper presents a novel defect detection technique based on deep learning, which primarily comprises two frameworks. First, we design an improved generative adversarial network with an encoder–decoder architecture to address the paucity of requisite defective samples. We use defect-free samples as input to the generator, ensuring that the generated defect samples maintain a similar pattern. We mitigate the vanishing gradient problem using Wasserstein distance as the loss function. Second, we enhance the Single Shot MultiBox Detector network by introducing Inception modules and feature fusion to detect defects across different scales. The AdaBound optimizer is selected to update the model parameters. We compare the proposed approach with other methods on self-generated fabric data sets that are partially produced by our generative adversarial network model. An online defect detection system is proposed to capture fabric images and evaluation in a production environment. Experiments demonstrate the superior performance of the proposed approach, achieving 97.5% accuracy in real time, making it well-suited for application in the industry.
{"title":"Online Fabric Defects Detection Using Convolutional Neural Networks with Two Frameworks","authors":"Zhiqi Yu, Xiaowei Sheng, Guosheng Xie, Yang Xu, Yize Sun","doi":"10.1177/24723444231201441","DOIUrl":"https://doi.org/10.1177/24723444231201441","url":null,"abstract":"Due to the suboptimal efficiency, accuracy, and increasing costs of manual defect detection in the textile industry, online visual inspection for fabric defects has emerged as an essential and promising research area. However, challenges such as the lack of defective samples and issues with industrial deployment still persist. This paper presents a novel defect detection technique based on deep learning, which primarily comprises two frameworks. First, we design an improved generative adversarial network with an encoder–decoder architecture to address the paucity of requisite defective samples. We use defect-free samples as input to the generator, ensuring that the generated defect samples maintain a similar pattern. We mitigate the vanishing gradient problem using Wasserstein distance as the loss function. Second, we enhance the Single Shot MultiBox Detector network by introducing Inception modules and feature fusion to detect defects across different scales. The AdaBound optimizer is selected to update the model parameters. We compare the proposed approach with other methods on self-generated fabric data sets that are partially produced by our generative adversarial network model. An online defect detection system is proposed to capture fabric images and evaluation in a production environment. Experiments demonstrate the superior performance of the proposed approach, achieving 97.5% accuracy in real time, making it well-suited for application in the industry.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135351314","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 : 2023-09-25DOI: 10.1177/24723444231185633
Min Li, Miao Yu, Bingqing Liu, Qinglong Peng
Camouflage refers to an essential means of protection for military reconnaissance. However, the traditional method of camouflage image generation does not allow for end-to-end generation. The algorithm of Cycle Generative Adversarial Network adopted in this article can not only keep the features of original pictures but also realize the end-to-end generation, which can better solve seasonal problems better. The generation model and the discrimination model are trained using the concept of the cyclic confrontation game of Cycle GAN. In the training process, the loss function served to stimulate the background image and camouflage images mapping to each other. The generated image is captured into the recognition model for recognition, so as to provide feedback on the findings. Finally, the camouflage image with background image characteristics is output to realize the generation of an end-to-end camouflage image. The camouflage evaluation index is used to detect the quality of color, texture, and edge of the experimental output image. The generated image shows a good camouflage effect in the color, texture, and comparison of edges, thus verifying the effectiveness of the practical scheme.
{"title":"The Pattern Design of A Camouflage Suit Based on the Cycle Generative Adversarial Network Algorithm","authors":"Min Li, Miao Yu, Bingqing Liu, Qinglong Peng","doi":"10.1177/24723444231185633","DOIUrl":"https://doi.org/10.1177/24723444231185633","url":null,"abstract":"Camouflage refers to an essential means of protection for military reconnaissance. However, the traditional method of camouflage image generation does not allow for end-to-end generation. The algorithm of Cycle Generative Adversarial Network adopted in this article can not only keep the features of original pictures but also realize the end-to-end generation, which can better solve seasonal problems better. The generation model and the discrimination model are trained using the concept of the cyclic confrontation game of Cycle GAN. In the training process, the loss function served to stimulate the background image and camouflage images mapping to each other. The generated image is captured into the recognition model for recognition, so as to provide feedback on the findings. Finally, the camouflage image with background image characteristics is output to realize the generation of an end-to-end camouflage image. The camouflage evaluation index is used to detect the quality of color, texture, and edge of the experimental output image. The generated image shows a good camouflage effect in the color, texture, and comparison of edges, thus verifying the effectiveness of the practical scheme.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135816399","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 : 2023-09-01DOI: 10.1177/24723444231161747
Wei Liu, Wei Chen, Qiong Cheng, Yuqing Zhang, F. Xu
Knitted fabrics are widely used in smart textiles due to their great elasticity and reversibility, which make them good platforms for multifunctional fabrics, such as wearable strain sensors. In this study, a new method to make high strain-sensing knitted fabrics was proposed by coating the carbon nanotube solution first and then spraying the poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) solution on 1 × 1 rib knitted fabric. The results showed that 0.1 wt% PEDOT:PSS/3 wt% carbon nanotube-coated knitted fabrics exhibited the best comprehensive performance. Their gauge factor reached 18.3 in the linear rising strain stage and showed excellent stability in cyclic stretching with a strain of 5%. Furthermore, the knitted fabric strain sensor exhibited a quick and precise response to the knee joint motion detection, demonstrating its potential in wearable applications.
{"title":"Poly(3,4-ethylenedioxythiophene): Poly(styrenesulfonate)/Carbon Nanotube-Coated Electrically Conducting Fabrics With High Strain Sensitivity","authors":"Wei Liu, Wei Chen, Qiong Cheng, Yuqing Zhang, F. Xu","doi":"10.1177/24723444231161747","DOIUrl":"https://doi.org/10.1177/24723444231161747","url":null,"abstract":"Knitted fabrics are widely used in smart textiles due to their great elasticity and reversibility, which make them good platforms for multifunctional fabrics, such as wearable strain sensors. In this study, a new method to make high strain-sensing knitted fabrics was proposed by coating the carbon nanotube solution first and then spraying the poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) solution on 1 × 1 rib knitted fabric. The results showed that 0.1 wt% PEDOT:PSS/3 wt% carbon nanotube-coated knitted fabrics exhibited the best comprehensive performance. Their gauge factor reached 18.3 in the linear rising strain stage and showed excellent stability in cyclic stretching with a strain of 5%. Furthermore, the knitted fabric strain sensor exhibited a quick and precise response to the knee joint motion detection, demonstrating its potential in wearable applications.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":"10 1","pages":"265 - 271"},"PeriodicalIF":0.7,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42626720","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 : 2023-08-31DOI: 10.1177/24723444231192714
S. Gorgieva, Nina Mladenovic, Jovana Petkovska, T. Luxbacher, I. Jordanov
The low scouring efficiency of mercerized cotton yarns scoured with alkaline and acid pectinases, reported in previously published articles, raised the hypothesis of the lack of pectinase adsorption onto mercerized cotton. In an attempt to identify whether low pectinase adsorption occurs, the adsorption of alkaline and acid pectinases on raw and mercerized cotton yarns is measured using the Lowry protein assay, while laser-scanning confocal fluorescence microscopy is used to visually show the presence/absence of the enzymes on the surface of the cotton yarns. In addition, the surface zeta potential of the raw and mercerized cotton yarns is measured to identify the influence of the surface charge on the adsorption ability of the used enzymes. Data suggest that although used substrates have adsorbed more alkaline than acid pectinase, the adsorption of both enzymes is more intensive onto the mercerized cotton relative to raw cotton. The similar surface zeta potential of the raw and mercerized yarns indicates that higher enzyme adsorption on mercerized cotton is not influenced by the surface charge. Laser-scanning confocal fluorescence microscopy micrographs depict an evident increase of fluorescing signal with scouring time to raw and mercerized cotton yarn. The more intensive signals after 60 min of enzymatic scouring with both enzymes suggest enzyme presence on the yarn surface after a long treatment time. The obtained results confirm the enzyme retention on the yarn surface, thus excluding the hypothesis that the absence of enzyme adsorption is a factor for the low scouring efficiency of mercerized cotton yarns.
{"title":"Influence of Pectinase Adsorption on Scouring Efficiency of Mercerized Cotton Yarns","authors":"S. Gorgieva, Nina Mladenovic, Jovana Petkovska, T. Luxbacher, I. Jordanov","doi":"10.1177/24723444231192714","DOIUrl":"https://doi.org/10.1177/24723444231192714","url":null,"abstract":"The low scouring efficiency of mercerized cotton yarns scoured with alkaline and acid pectinases, reported in previously published articles, raised the hypothesis of the lack of pectinase adsorption onto mercerized cotton. In an attempt to identify whether low pectinase adsorption occurs, the adsorption of alkaline and acid pectinases on raw and mercerized cotton yarns is measured using the Lowry protein assay, while laser-scanning confocal fluorescence microscopy is used to visually show the presence/absence of the enzymes on the surface of the cotton yarns. In addition, the surface zeta potential of the raw and mercerized cotton yarns is measured to identify the influence of the surface charge on the adsorption ability of the used enzymes. Data suggest that although used substrates have adsorbed more alkaline than acid pectinase, the adsorption of both enzymes is more intensive onto the mercerized cotton relative to raw cotton. The similar surface zeta potential of the raw and mercerized yarns indicates that higher enzyme adsorption on mercerized cotton is not influenced by the surface charge. Laser-scanning confocal fluorescence microscopy micrographs depict an evident increase of fluorescing signal with scouring time to raw and mercerized cotton yarn. The more intensive signals after 60 min of enzymatic scouring with both enzymes suggest enzyme presence on the yarn surface after a long treatment time. The obtained results confirm the enzyme retention on the yarn surface, thus excluding the hypothesis that the absence of enzyme adsorption is a factor for the low scouring efficiency of mercerized cotton yarns.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45063350","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}
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