Multi response optimization of process parameters using taguchi based grey relational method in fsw of az91b magnesium alloy

被引：0

作者：

Unnikrishnan M.A. ^{[1
]}

Edwin Raja Dhas J. ^{[2
]}

机构：

[1] Dept. of Mech. Engg., Noorul Islam Centre for Higher Education, Tamilnadu, Thuckalay

[2] Dept. of Automobile Engg., Noorul Islam Centre for Higher Education, Tamilnadu, Thuckalay

来源：

International Journal of Vehicle Structures and Systems | 2021年 / 13卷 / 04期

关键词：

Friction stir welding; Grey relational analysis; Magnesium alloy; Optimization; Taguchi;

D O I：

10.4273/ijvss.13.4.02

中图分类号：

学科分类号：

摘要：

In this paper, the Taguchi method and grey relational analysis have been used to evaluate the weldability of AZ91B Magnesium alloy by friction stir welding process. Experiments were conducted using the L9 Taguchi design considering an orthogonal array consist of 3 factors and 3 levels. The rotational speed, transverse speed and angle of tilt of the tool are selected as welding parameters. Analysis of variance (ANOVA) is used to analyze the influence of the welding parameters on the responses namely, ultimate tensile strength (UTS) and hardness. The analysis results revealed that the transverse speed is the predominant parameter affecting tensile strength, hardness and quality of the weld. Confirmation test results showed that the Taguchi method coupled with grey relational analysis is very successful in the optimization of welding parameters for maximum strength and hardness in the FSW of AZ91B Magnesium alloy. © 2021. MechAero Foundation for Technical Research & Education Excellence.

引用

页码：385 / 391

页数：6

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