Multi-objective Optimization of Woven Fabric Parameters Using Taguchi–Grey Relational Analysis

ABSTRACT

Optimization technique is mainly used to find out the optimal value of control factors which yield the best response variables. In the case of more than one response variable, the optimization process using the Taguchi approach will give a different set of optimal level for each response variable. Consolidating Taguchi method with grey relation analysis will give optimal levels of control factors for all response variables. In the present study, multi-response optimization based on Taguchi-grey relational analysis was conducted to maximize tensile strength, breaking extension and air permeability of cotton woven fabrics. Cotton woven fabric parameters such as weft yarn count, weave structure, weft yarn density with three levels, and twist factor of the weft yarn with two levels were used as control factors. Using full factorial design, 81 experiments will be conducted. Whereas, using the Taguchi approach and L₁₈ orthogonal array in particular, these experiments will be reduced to 16 experiments. Using Taguchi-grey relational method, optimal combination of the control factors which yield the best-woven fabric properties under study were obtained.

摘要

优化技术主要用于找出控制因素的最优值，从而得到最佳的响应变量。在多个响应变量的情况下，使用Taguchi方法的优化过程将为每个响应变量提供不同的最优水平集.

将Taguchi方法与灰色关联分析相结合，将为所有响应变量提供最优的控制因子水平.

为了使棉织物的拉伸强度、断裂延伸率和透气性最大化，本研究采用基于Taguchi灰色关联分析的多响应优化方法.以棉织物的纬纱支数、组织结构、三级纬纱密度、两级纬纱捻度等参数作为控制因素.采用全因式设计，将进行81个实验.然而，使用Taguchi方法，尤其是L18正交阵列，这些实验将减少到16个实验.采用Taguchi -灰色关联分析法，得到了在研究中获得最佳织物性能的控制因素的最佳组合.

KEYWORDS:

• Woven fabric properties
• air permeability
• tensile strength
• Taguchi
• grey relational analysis
• multiobjective optimization

关键词:

• 机织物性能
• 透气性
• 拉伸强度
• 灰色关联分析
• 多目标优化