Development of Machine Learning Models to Predict the Weld Defect Using Resistance Spot Welding Experimental Data-Reference-Cited by-同舟云学术

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Development of Machine Learning Models to Predict the Weld Defect Using Resistance Spot Welding Experimental Data

Published:2023 Issue: Volume:28 Page:
ISSN:1980-6973
Container-title:Soldagem & Inspeção
language:
Short-container-title:Soldag. insp.

Author:

Mathi Santhosh¹^ORCID,Bamberg Pedro¹^ORCID,Schiebahn Alexander¹^ORCID,Reisgen Uwe¹^ORCID

Affiliation:

1. RWTH Aachen University, Germany

Publisher

FapUNIFESP (SciELO)

Subject

Metals and Alloys,Mechanical Engineering,Mechanics of Materials

Link

http://www.scielo.br/scielo.php?script=sci_pdf&pid=S0104-92242023000100806&tlng=en

Reference23 articles.

1. Electric resistance spot welding: a state of art;Dhawale P;International Journal of Engineering Research & Technology,2017

2. Improvement of resistance spot weldability for dual-phase (DP600) steels using servo gun;Zhang X;Journal of Materials Processing Technology,2009

3. Welding and allied processes: definitions of metal welding processes.,2004

4. Effect of alloying elements on expulsion in electric resistance spot welding of advanced high strength steels;Kong J-P;Science and Technology of Welding and Joining,2016

5. Liquid metal embrittlement during resistance spot welding of Zn-coated high-strength steels;Bhattacharya D;Materials Science and Technology,2018

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