Improving mechanical properties of friction stir welded AA2024-T3 joints by using a composite backplate-Reference-Cited by-同舟云学术

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Improving mechanical properties of friction stir welded AA2024-T3 joints by using a composite backplate

Published:2014-03 Issue: Volume:598 Page:312-318
ISSN:0921-5093
Container-title:Materials Science and Engineering: A
language:en
Short-container-title:Materials Science and Engineering: A

Author:

Zhang Z.H.,Li W.Y.,Feng Y.,Li J.L.,Chao Y.J.

Funder

National Natural Science Foundation of China

Fok Ying-Tong Education Foundation

Fundamental Research Fund of NPU

111 Project

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science

Reference32 articles.

1. Friction stir welding and processing

2. An analytical model to optimize rotation speed and travel speed of friction stir welding for defect-free joints

3. Influence of process parameters on microstructural evolution and mechanical properties in friction stirred Al-2024 (T3) alloy

4. The strength of friction stir welded and friction stir processed aluminium alloys

5. Relationship between microstructure, microhardness and corrosion sensitivity of an AA 2024-T3 friction stir welded joint

Cited by 41 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. Heat Input Effects on Microstructural and Mechanical Analysis of AA2014 Alloy in Friction Stir Welding: Influence of Rotational and Traverse Speed;Journal of The Institution of Engineers (India): Series D;2024-05-12

2. Backing plate material selection for optimizing joint performance in friction stir welded aluminium honeycomb;Journal of Sandwich Structures & Materials;2024-02-04

3. Multi-objective optimization and characterization of AA2219-T87 and AA6061-T6 dissimilar friction stir welded joints under the effect of copper backing using AUGMECON;Sādhanā;2024-01-22

4. Corrosion susceptibility and mechanical properties of friction-stir-welded AA2024-T3 joints;Welding in the World;2022-03-05

5. A multi-objective optimization using response surface model coupled with particle swarm algorithm on FSW process parameters;Scientific Reports;2022-02-18

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