Mechanical behavior and microstructure of dissimilar aluminium/titanium rotary friction weld joints

Author:

Eddine Lakache Houssem,May AbdelghaniORCID,Badji Riad,Poirot Nathalie

Abstract

The objective of this study is to employ the rotary friction welding (RFW) technique to join dissimilar materials AA2024/Ti6Al4V. The experimental design encompasses the manipulation of RFW process input parameters, using the Taguchi L9 array methodology. The collected data underwent thorough analysis, aimed at determining the ultimate tensile strength (UTS) of the resultant weld joint. The prime focus rested on ascertaining optimal RFW conditions that could effectively maximize the UTS. Through the use of statistical analysis of variance (ANOVA), the process parameter of utmost significance was identified. The outcomes of this investigation were harnessed to formulate regression model pertaining to the UTS of the RFW joint. Furthermore, fatigue tests were executed to exhibit the cyclic behavior of the dissimilar welds, yielding a comprehensive Wöhler curve that facilitated the estimation of specimen longevity under stress cycles. In addition, microscopic observations were carried out to discern the microstructural evolution and the quality of the weld joint. Finally, scanning electron microscopy (SEM) analysis was conducted to investigate damage micro-mechanisms specimens. The results show that using a rotational speed of 1290 rpm, friction pressure of 6 MPa for 6.3 s, and forging pressure of 6 MPa for 8 s leads to an improvement in the UTS value up to 424.31 MPa, corresponding to a joint efficiency of 90.46%.

Publisher

EDP Sciences

Subject

Materials Chemistry,Metals and Alloys,Mechanics of Materials,Computational Mechanics

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