Multi-Response Optimization of Process Parameters in Friction Stir Welding of AA 8011-H14 / AA 5052-H34 using Taguchi Grey Relational Analysis

Author:

Radj B. Magamai1,Natarajan Sendhil Kumar2,Vasudevan Gopi2

Affiliation:

1. Sri Venkateshwaraa College of Engineering & Technology

2. National Institute of Technology Puducherry, Union Territory of Puducherry

Abstract

Abstract

Friction stir welding (FSW) offers a distinct advantage in its ability to effectively join dissimilar metals and alloys. This study focuses on the butt welding of AA 8011-H14 and AA5052-H34 through FSW, aiming to explore the influence of process parameters on crucial mechanical properties such as ultimate tensile strength, yield strength, percentage elongation, and hardness. The examination of the welded cross-section revealed variations in both grain orientation and size across different zones. Notably, most failures were identified at the base of AA8011-H14 on the Advancing side. Furthermore, the hardness of the nugget zone exhibited variability based on the material ratio mix, with the maximum hardness observed on the AA5052-H34 side. Comparisons of optimal joint efficiencies were made to assess the overall effectiveness of the welded joints. This investigation contributes valuable insights into the intricacies of FSW when applied to dissimilar metal combinations, shedding light on the impact of process parameters on the mechanical characteristics of the joints.

Publisher

Springer Science and Business Media LLC

Reference30 articles.

1. Uppada Sudhakar and Suraparaju SK and BMVAR and NSK (2020) Optimization of Process Parameters in Resistance Spot Welding Using Artificial Immune Algorithm. In: Deepak BBVL. and Parhi D and JPC (ed) Innovative Product Design and Intelligent Manufacturing Systems. Springer Singapore, Singapore, pp 477–485

2. Prediction of Mechanical Properties and Optimization of Friction Stir Welded 2195 Aluminum Alloy Based on BP Neural Network;Yu F;Metals (Basel),2023

3. Microstructural and mechanical properties of double-sided MIG, TIG and friction stir welded 5083-H321 aluminium alloy;Taban E,2006

4. Pandey S, Wattal R, Garg G, Agakhani M (2002) Recent trends in welding of Aluminium. In: Workshop organized by the Aluminium Association of India and Indian Institute of Metals, Chandigarh, February

5. Introduction

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3