Fatigue assessment of refill friction stir spot weld in AA 2024-T3 similar joints
Author:
Affiliation:
1. Institute of Materials Research, Materials Mechanics, Solid-State Joining Processes (WMP); Helmholtz-Zentrum Geesthacht GmbH; Max-Planck-St. 1 D-21502 Geesthacht Germany
Publisher
Wiley
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1111/ffe.12764/fullpdf
Reference32 articles.
1. Assessment of improvement techniques effect on fatigue behaviour of friction stir welded aerospace aluminium alloys;Vidal;Procedia Eng,2010
2. Metallurgy and mechanical performance of AZ31 magnesium alloy friction spot welds;Campanelli;J Mater Process Technol,2013
3. Optimization of friction spot welding process parameters for AA2198-T8 sheets;Pieta;Mater Manuf Process,2014
4. The optimization of friction spot welding process parameters in AA6181-T4 and Ti6Al4V dissimilar joints;Plaine;Mater Des,2015
5. The influence of refill FSSW parameters on the microstructure and shear strength of 5042 aluminium welds;Tier;J Mater Process Technol,2013
Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Refill friction stir spot welding (RFSSW): a review of processing, similar/dissimilar materials joining, mechanical properties and fracture mechanism;Journal of Iron and Steel Research International;2024-04-12
2. Experimental investigation of crack propagation mechanism in refill friction stir spot joints of AA6082-T6;Engineering Fracture Mechanics;2024-04
3. Fatigue behaviour of multi-spot joints of 2024-T3 aluminium sheets obtained by refill Friction Stir Spot Welding with polysulfide sealant;International Journal of Fatigue;2023-07
4. Refill friction stir spot welding of aluminum alloys: State-of-the-art and Perspectives;Welding in the World;2023-06-23
5. An Original Machine Learning-Based Approach for the Online Monitoring of Refill Friction Stir Spot Welding: Weld Diagnostic and Tool State Prognostic;Journal of Materials Engineering and Performance;2023-03-27
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