Implementation of Machine Learning Algorithms for Weld Quality Prediction and Optimization in Resistance Spot Welding
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science
Link
https://link.springer.com/content/pdf/10.1007/s11665-023-08503-2.pdf
Reference60 articles.
1. P. Podržaj, I. Polajnar, J. Diaci, and Z. Kariž, Overview of Resistance Spot Welding Control, Sci. Technol. Welding Joining, 2008, 13(3), p 215–224.
2. N.T. Williams and J.D. Parker, Review of Resistance Spot Welding of Steel Sheets: Part 1 - Modelling and Control of Weld Nugget Formation, Int. Mater. Rev., 2004, 49, p 45–75.
3. M. Pouranvari and S.P.H. Marashi, Critical Review of Automotive Steels Spot Welding: Process, Structure and Properties, Sci. Technol. Welding Joining, 2013, 18(5), p 361–403.
4. J.P. Oliveira, K. Ponder, E. Brizes, T. Abke, P. Edwards, and A.J. Ramirez, Combining Resistance Spot Welding and Friction Element Welding for Dissimilar Joining of Aluminum to High Strength Steels, J. Mater. Process. Technol., 2019, 273, p 116192. https://doi.org/10.1016/j.jmatprotec.2019.04.018
5. D. Zhao, Y. Wang, D. Liang, and P. Zhang, Modeling and Process Analysis of Resistance Spot Welded DP600 Joints Based on Regression Analysis, Mater. Des., 2016, 110, p 676–684.
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