Design of Performance Characteristics on Laser Treated Denim Fabric

IF 1.1 4区 材料科学 Q3 Engineering
N. Mandre, T. Plamus, Angelika Linder, T. Varjas, J. Majak, A. Krumme
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引用次数: 0

Abstract

The current paper covers an experimental study, mathematical modelling, and design optimization of the laser treatment process of denim fabrics. Laser fading is used in the finishing phase of garment production, unfortunately, it decreases fabric durability. Denim fabric is known as a cotton fabric but nowadays it is blended with other fibres to improve fabric properties. For this reason, the main purpose of this study was to test multicomponent fabric longevity after laser treatment. The knowledge from this study is used by garment production company. The tear force, abrasion resistance, and colour difference are considered as performance characteristics of laser treated denim fabrics subjected to maximization. To achieve the goals, novel, mathematical models were developed. In the preliminary tests, the design space was determined. The full factorial design of experiments was utilized in the experimental study and the values of the performance characteristics are measured. Based on the results of the experimental study the artificial neural network and Haar wavelet based mathematical models were developed to predict the behaviour of the tear force, abrasion resistance, and colour difference. The artificial intelligence-based multicriteria design optimization procedure is developed.
激光处理牛仔布织物性能特性的设计
本文对牛仔布激光处理工艺进行了实验研究、数学建模和优化设计。激光褪色被用于服装生产的整理阶段,不幸的是,它会降低织物的耐用性。牛仔织物被称为棉质织物,但如今它与其他纤维混纺以改善织物性能。因此,本研究的主要目的是测试激光处理后多组分织物的使用寿命。这项研究的知识被服装生产公司所使用。撕裂力、耐磨性和色差被认为是激光处理牛仔布在最大化条件下的性能特征。为了实现这些目标,开发了新颖的数学模型。在初步测试中,确定了设计空间。在实验研究中采用了全因子实验设计,并测量了性能特性的值。基于实验研究的结果,开发了基于人工神经网络和Haar小波的数学模型来预测撕裂力、耐磨性和色差的行为。开发了基于人工智能的多准则设计优化程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Materials Science-Poland
Materials Science-Poland 工程技术-材料科学:综合
CiteScore
1.70
自引率
18.20%
发文量
0
审稿时长
6.2 months
期刊介绍: Material Sciences-Poland is an interdisciplinary journal devoted to experimental research into results on the relationships between structure, processing, properties, technology, and uses of materials. Original research articles and review can be only submitted.
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