Effect of Stone Washing Parameters on Denim Behavior Bagging

ABSTRACT

This research investigates the impact of stone washing treatment on denim fabrics. Garments were washed at different conditions, and then the bagging behavior properties and the mechanical properties using the Kawabata evaluation system KES-FB of the treated and untreated denim fabric were analyzed and investigated. Furthermore, to predict the appearance and the bagging ability of denim fabric, the significant contribution of the inputs/outputs parameters on the bagging behavior is discussed using the principal component analysis (PCA) technique. Thanks to this method, the numbers of the influent parameters were reduced at a percentage of 45.71%. The results show the accuracy of the linear regression method to predict the bagging behavior in the experimental design of interest. Moreover, the R² ranged from 83.6% to 92.7%, traduces that the obtained models seem effective and can help industrials to explain the effect of washing treatment in the bagging behavior of denim fabric.

摘要

本研究探讨水洗处理对牛仔布之影响. 在不同的洗涤条件下对服装进行洗涤, 并利用Kawabata评价系统KES-FB对处理前后牛仔布的套袋性能和力学性能进行分析研究. 此外, 为了预测牛仔布的外观和套袋性能, 利用主成分分析 (PCA) 技术讨论了输入/输出参数对套袋性能的显著影响. 该方法使进水参数减少了45.71%. 结果表明, 线性回归方法预测袋装行为的准确性在试验设计中具有重要意义. R2在83.6%～92.7%之间, 说明所建立的模型是有效的, 可以帮助工业界解释水洗处理对牛仔布套袋行为的影响.

KEYWORDS:

• Denim fabric
• stone washing
• bagging behaviors
• kes-FB
• principal Component Analysis PCA
• linear regression

Keywords:

• 关键词:Denim fabric
• 牛仔布
• Stone washing洗石
• Bagging behaviors装袋行为
• KES-FBPrincipal Component Analysis PCA
• 主成分分析PCA
• Linear regression. 线性回归