Physics-informed ensemble learning for online joint strength prediction in ultrasonic metal welding-Reference-Cited by-同舟云学术

Physics-informed ensemble learning for online joint strength prediction in ultrasonic metal welding

Published:2022-12 Issue: Volume:181 Page:109473
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Meng Yuquan,Shao Chenhui^ORCID

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference56 articles.

1. Joining of dissimilar materials;Martinsen;CIRP Ann.,2015

2. Thermomechanical analyses of ultrasonic welding process using thermal and acoustic softening effects;Siddiq;Mech. Mater.,2008

3. Joining 5754 automotive aluminum alloy 2-mm-thick sheets using ultrasonic spot welding;Zhang;Weld. J.,2014

4. Ultrasonic spot welding of aluminum alloys: A review;Ni;J. Manuf. Process.,2018

5. Process robustness of single lap ultrasonic welding of thin, dissimilar materials;Kim;CIRP Ann.,2011

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