Contribution on Modeling of Bagged Denim Fabric Behavior After Mixed Washing Using PCA and Regression Techniques

ABSTRACT

This study evaluates the effect of mixed washing treatment on the bagging behavior of denim fabrics. Six types of denim fabrics were washed under different conditions. Then, the bagging test was applied. Furthermore, the most influential factors of this treatment on the bagging ability of denim fabric were discussed using the main effect plots. This method shows that the quantity of pumice stone, the quantity of enzyme and the fabric are the most influencing factors. The increase in the amount of enzyme or pumice stone increases the occurrence of the bagging problem. Since the fabric is the dominant factor for all bagging properties, the characterization with Kawabata instruments of treated and untreated fabrics was performed. Then, we used the principal component analysis method to select the most important parameters. A reduction of 52.78% in parameters was achieved. Finally, the linear regression models were obtained to predict the bagging properties. The regression coefficients (R²) range between 96.85% and 99.43% and the adjusted R² is between 92.34% and 98.13%, which confirms the efficiency of our models. These models are crucial for the manufacturers of washing denim since they could help the industrials to predict denim fabric’s bagging behavior after mixed washing.

摘要

本研究评估了混合洗涤处理对牛仔布装袋性能的影响. 在不同的条件下洗涤六种类型的牛仔布，如酶浓度（1.5 g/L、2.5 g/L和4 g/L）、浮石量（50%、100%和150%）、温度（30、45和55°C）和时间（15、30和45分钟）. 然后，对洗过的和未洗过的织物进行装袋试验. 此外，利用主效应图讨论了这种处理对牛仔布套袋性能的最大影响因素. 该方法表明，浮石的用量、酶的用量和织物是影响浮石质量的主要因素. 酶或浮石的量的增加增加了装袋问题的发生. 由于织物是所有装袋性能的主要因素，因此使用Kawabata仪器对经处理和未经处理的织物进行了表征. 然后，我们使用主成分分析方法来选择最重要的参数. 参数减少了52.78%。最后，建立了线性回归模型，对套袋性能进行了预测. 回归系数（R2）在96.85%和99.43%之间，调整后的R2在92.34%和98.13%之间，这证实了我们模型的有效性. 这些模型对洗涤牛仔布的制造商至关重要，因为它们可以帮助工业界预测混合洗涤后牛仔布织物的装袋行为.

KEYWORDS:

• Bagging problem
• mixed washing
• denim fabric
• main effect plots
• PCA method
• regression model

关键词:

• 袋装问题
• 混合洗涤
• 牛仔面料
• 主效应图
• PCA 方法
• 回归模型

Acknowledgments

We gratefully acknowledge the SARTEX Company of Ksar-Hellal in Tunisia and the Chimie-Tex-Plus industry of Sidi Abdelhamid in Tunisia, for technical assistance.

Disclosure statement

No potential conflict of interest was reported by the author(s).