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Multi Response Optimization of Friction Stir Welding Process Parameters on Dissimilar Magnesium Alloys AZ 31 and ZM 21 using Taguchi-Based Grey Relation Analysis

机译:基于Taguchi的灰色关系分析,多响应搅拌焊接工艺参数对不同镁合金AZ 31和ZM 21的多响应优化

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This article presents the optimization of process parameters in Friction Stir Welding of Dissimilar Magnesium Alloys AZ 31 and ZM 21 with multiple responses based on Taguchi orthogonal array with grey relational analysis. The responses considered are tensile strength of the joint and weight loss in the salt fog corrosion test. The process parameters considered for optimization are the Rotational speed of the tool, Tool pin profile and axial load. The aim of this study is to find the best process parameters to maximize tensile strength while minimizing the aspect weight loss in the salt fog corrosion test. Based on the grey relational grade and ANOVA, optimum parameters have been identified and validated by the confirmation run. It has been concluded that tool pin profile and rotational speed are the dominant parameters while the axial load considered did not have significant effect on the responses.
机译:本文介绍了基于Taguchi正交阵列的多重响应的多响应的不同镁合金AZ 31和ZM 21的摩擦搅拌焊接过程参数的优化。所考虑的反应是盐雾腐蚀试验中的关节和体重减轻的拉伸强度。考虑优化的过程参数是工具,工具引脚型材和轴向载荷的转速。本研究的目的是找到最佳工艺参数,以最大化拉伸强度,同时最小化盐雾腐蚀试验中的方面减肥。基于灰色关系级和ANOVA,通过确认运行已经确定并验证了最佳参数。已经得出结论,工具引脚型材和转速是主导参数,而被认为对响应没有显着影响。

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