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

被引：0

作者：

Prasath, S. ^{[1
]}

Vijayan, S. ^{[2
]}

Raja, D. Elil ^{[3
]}

机构：

[1] Mohamed Sathak AJ Coll Engn, Chennai, Tamil Nadu, India

[2] SSN Coll Engn, Chennai, Tamil Nadu, India

[3] St Josephs Inst Technol, Chennai, Tamil Nadu, India

来源：

METALLURGIA ITALIANA | 2020年 / 112卷 / 7-8期

关键词：

GREY RELATION ANALYSIS; L16 ORTHOGONAL ARRAY; MULTI RESPONSE OPTIMIZATION; MAGNESIUM ALLOYS AZ 31 AND ZM 21; FSW AND SALT FOG CORROSION; MECHANICAL-PROPERTIES;

D O I：

暂无

中图分类号：

TF [冶金工业];

学科分类号：

0806 ;

摘要：

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.

引用

页码：18 / 27

页数：10

共 18 条

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