AATCC Journal of Research最新文献

Effect of Microwave Irradiation on Coloring and Mechanical Properties of Direct Dyed Fabric 微波辐照对直接染色织物着色和机械性能的影响

IF 0.7 4区工程技术

AATCC Journal of Research Pub Date : 2023-12-22 DOI: 10.1177/24723444231215446

Assad Farooq, Ifra Shahzadi, M. A. Ashraf, Farida Irshad, Nayab Khan

引用次数: 0

Statistical Optimization of Process Variables for the Dyeing of Jute with Marigold Petals Using a Dual Mordant System 使用双媒染剂系统对万寿菊花瓣染色黄麻的工艺变量进行统计优化

IF 0.7 4区工程技术

AATCC Journal of Research Pub Date : 2023-12-21 DOI: 10.1177/24723444231201452

Ritwik Chakraborty, Ashis Kumar Samanta, P. S. Vankar

{"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}

引用次数: 0

Application of Rare Earth Marking on Anti-counterfeiting Waterless/Less-Water Dyeing Technology 稀土标记在防伪无水/少水染色技术中的应用

IF 0.7 4区工程技术

AATCC Journal of Research Pub Date : 2023-12-15 DOI: 10.1177/24723444231206855

Jingru Chen, Liujun Pei, Wenhua Shi, Muhammad Asad Saleem, Chenjia Jiao, Hongjuan Zhang, Jiping Wang

{"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}

引用次数: 0

Carbon Footprint of Wool at Cradle to Farm-Gate Stage in Victoria, Australia 澳大利亚维多利亚州从摇篮到农场的羊毛碳足迹

4区工程技术

AATCC Journal of Research Pub Date : 2023-11-09 DOI: 10.1177/24723444231201443

Xue Li, Lirong Sun, Jianhua Zhang, Xin Li, Yi Yang, Lisha Zhu, Ying Zhang, Laili Wang

{"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}

引用次数: 0

A Novel Polyvinylidene Fluoride/Keratin Electret Filter With Comprehensive Performance and High-Efficiency PM0.3 Removal 新型综合性能高效去除PM0.3的聚偏氟乙烯/角蛋白驻极体过滤器

4区工程技术

AATCC Journal of Research Pub Date : 2023-10-29 DOI: 10.1177/24723444231206854

Zhengrui Yang, Yan Liu, Qiang Li, Rong Li

引用次数: 0

Preparation of Highly Effective Antibacterial Cotton Fabrics Based on Bifunctional Reactive N-Halamine 基于双官能团N-Halamine的高效抗菌棉织物制备

4区工程技术

AATCC Journal of Research Pub Date : 2023-10-06 DOI: 10.1177/24723444231201446

Que Kong, Tong Mu, Zhiguang Li, Dong Liang, Xuehong Ren, Tung-Shi Huang

{"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}

引用次数: 0

Online Fabric Defects Detection Using Convolutional Neural Networks with Two Frameworks 基于两种框架的卷积神经网络在线织物缺陷检测

4区工程技术

AATCC Journal of Research Pub Date : 2023-10-06 DOI: 10.1177/24723444231201441

Zhiqi Yu, Xiaowei Sheng, Guosheng Xie, Yang Xu, Yize Sun

{"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}

引用次数: 0

The Pattern Design of A Camouflage Suit Based on the Cycle Generative Adversarial Network Algorithm 基于循环生成对抗网络算法的迷彩服图案设计

4区工程技术

AATCC Journal of Research Pub Date : 2023-09-25 DOI: 10.1177/24723444231185633

Min Li, Miao Yu, Bingqing Liu, Qinglong Peng

{"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}

引用次数: 0

Poly(3,4-ethylenedioxythiophene): Poly(styrenesulfonate)/Carbon Nanotube-Coated Electrically Conducting Fabrics With High Strain Sensitivity 聚(3,4-乙烯二氧噻吩):具有高应变灵敏度的聚(苯乙烯磺酸酯)/碳纳米管涂层导电织物

IF 0.7 4区工程技术

AATCC Journal of Research Pub Date : 2023-09-01 DOI: 10.1177/24723444231161747

Wei Liu, Wei Chen, Qiong Cheng, Yuqing Zhang, F. Xu

引用次数: 0

Influence of Pectinase Adsorption on Scouring Efficiency of Mercerized Cotton Yarns 果胶酶吸附对丝光棉纱精练效率的影响

IF 0.7 4区工程技术

AATCC Journal of Research Pub Date : 2023-08-31 DOI: 10.1177/24723444231192714

S. Gorgieva, Nina Mladenovic, Jovana Petkovska, T. Luxbacher, I. Jordanov

{"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}

引用次数: 0