Hybrid modeling of mechanical properties and hardness of aluminum alloy 5083 and C100 Copper with various machine learning algorithms in friction stir welding-Reference-Cited by-同舟云学术

Hybrid modeling of mechanical properties and hardness of aluminum alloy 5083 and C100 Copper with various machine learning algorithms in friction stir welding

Published:2023-09 Issue: Volume:55 Page:1250-1261
ISSN:2352-0124
Container-title:Structures
language:en
Short-container-title:Structures

Author:

Ye Xubo,Su Zhanguo,Dahari Mahidzal,Su Yiping,Alsulami Samirah H.,Aldhabani Musaad S.,Abed Azher M.,Ali H. Elhosiny,Bouzgarrou Souhail Mohamed^ORCID

Funder

Deanship of Scientific Research, King Khalid University

King Khalid University

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

Reference24 articles.

1. Uematsu Y., Kakiuchi T., Ogawa D., Hashiba K., Fatigue crack propagation near the interface between Al and steel in dissimilar Al/steel friction stir welds, Int. J. Fatigue, (138), 2020, 105706.

2. Karami, R., Abdollahi, M.A.A. (2023). Mechanical and corrosion characteristics of 6061–T6 aluminum alloy samples reinforced with alumina micro and nanoparticles fabricated by friction stir processing. Proc Instit Mech Eng, Part C: J Mech Eng Sci, 095440622311529.

3. Evaluation of capabilities of ultrasonic vibration on the surface, electrical and mechanical behaviors of aluminum to copper dissimilar friction stir welds;Najib;Int J Mech Sci,2020

4. Effect of welding parameters on mechanical and microstructural properties of dissimilar AA6082–AA2024 joints produced by friction stir welding;Cavaliere;Mater Des,2009

5. Effect of welding parameters on macro and microstructure of friction stir welded dissimilar butt joints between AA7075-T651 and AA6061-T651 alloys;Ravikumar;Procedia Mater Sci,2014

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