Multiobjective Optimization of Friction Stir Welding Process Parameters on Aluminum Alloy AA 5083 Using Taguchi-Based Grey Relation Analysis
Multiobjective Optimization of Friction Stir Welding Process Parameters on Aluminum Alloy AA 5083 Using Taguchi-Based Grey Relation Analysis
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DOI：
10.1080/10426910903536782
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发表时间：
2010-12
影响因子：
4.8
通讯作者：
S. Vijayan;R. Raju;S. Rao
中科院分区：
文献类型：
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作者：
S. Vijayan;R. Raju;S. Rao
采用灰色关联分析方法，对AA 5083铝合金搅拌摩擦焊工艺参数进行了多响应优化。采用田口L9正交试验设计，对搅拌摩擦焊工艺参数对焊缝抗拉强度和焊接总输入功率的影响进行了优化。优化所考虑的工艺参数是以rpm为单位的工具的旋转速度、以mm/min为单位的横向速度和以KN为单位的轴向力。本文的目的是找到工艺参数的最佳水平，使其产生最大的拉伸强度和消耗最小的功率。基于灰色关联度，确定了参数的最佳水平，并通过方差分析确定了参数的显著贡献。通过确认运行确定并验证工艺参数的最佳水平。
This article presents the optimization of process parameters in friction stir welding (FSW) of Aluminum Alloy AA 5083 with multiple responses based on orthogonal array with grey relational analysis. The L9 orthogonal array of Taguchi experimental design is used for optimizing the FSW process parameters on tensile strength of FSW welds and total input power required for the process. The process parameters considered for optimization are the Rotational speed of the tool in rpm, transverse speed in mm/min, and the axial force in KN. The objective of this article is to find the optimum levels of the process parameters in which it yields maximum tensile strength and consumes minimum power. Based on the grey relational grade, optimum levels of parameters have been identified, and significant contribution of parameters is determined by ANOVA. The optimum levels of the process parameters are determined and validated by the confirmation run.