Predicting the tensile strength of bleach washed denim garments by using fuzzy logic modeling

IF 2.2 4区 工程技术 Q1 MATERIALS SCIENCE, TEXTILES
Joy Sarkar, N. Rifat, Md Abdullah Al Faruque
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引用次数: 1

Abstract

The prime intention of this study is to develop and validate the efficiency of a fuzzy logic model to predict the tensile strength of bleach washed denim garments. Denim washing is nowadays a widely used technology to give a worn-out appearance to denim garments and thus add esthetic to that garments’ appearance and outlook. In the case of regular overall fading of denim, bleach washing is very popular. At the same time, it is also a matter of concern that the process optimization of bleach washing is critical as bleaching agents have an adverse effect on the fabrics. Among others, bleach concentration, time, and temperature are the primary process parameters in bleach washing, which directly impact the final strength of the treated denim garments. Though their relationship is nonlinear, a fuzzy expert-based system has been constructed to model and illustrate the complex relationship among bleach concentration, time, and temperature in the input side, whereas tensile strength is the output. Strength is the most critical parameter of the final denim product, as it dominates the serviceability of that garments. Therefore, predicting the tensile strength without the trial-and-error method, which is being practiced now, can be a blessing for industrial practitioners. With the help of a laboratory trial, the developed model has been evaluated, and it has been found that the mean relative error was 2.82 and 3.92 for warp and weft direction tensile strength, respectively. On the other hand, the comparison exhibited a coefficient of determination (R2) of 0.99 for both warp and weft direction tensile strengths. The authors found that the performance of the developed model is satisfactory enough to predict the tensile strength of the bleach washed denim garments.
用模糊逻辑模型预测漂洗牛仔服装的抗拉强度
本研究的主要目的是建立并验证模糊逻辑模型预测漂白水洗牛仔服装抗拉强度的有效性。牛仔水洗是目前广泛使用的一种技术,它可以给牛仔服装一个破旧的外观,从而增加服装的外观和外观的美感。在牛仔布经常褪色的情况下,漂白剂洗涤是很受欢迎的。同时,由于漂白剂对织物有不良影响,漂白洗涤的工艺优化也是一个值得关注的问题。其中,漂白剂浓度、时间和温度是漂白剂洗涤的主要工艺参数,直接影响处理后牛仔服装的最终强度。虽然它们之间的关系是非线性的,但我们构建了一个基于模糊专家的系统来模拟和说明输入侧漂白剂浓度、时间和温度之间的复杂关系,而拉伸强度是输出侧。强度是最终牛仔产品最关键的参数,因为它支配着服装的适用性。因此,预测抗拉强度,而不是试错法,现在正在实行,可以为工业从业者的祝福。通过室内试验对所建立的模型进行了评价,经向和纬向拉伸强度的平均相对误差分别为2.82和3.92。另一方面,经向和纬向拉伸强度的决定系数R2均为0.99。结果表明,所建立的模型能较好地预测漂洗牛仔服装的拉伸强度。
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来源期刊
Journal of Engineered Fibers and Fabrics
Journal of Engineered Fibers and Fabrics 工程技术-材料科学:纺织
CiteScore
5.00
自引率
6.90%
发文量
41
审稿时长
4 months
期刊介绍: Journal of Engineered Fibers and Fabrics is a peer-reviewed, open access journal which aims to facilitate the rapid and wide dissemination of research in the engineering of textiles, clothing and fiber based structures.
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