Prediction of laser beam welding process parameters for dissimilar steels butt joint based on AI algorithms SA, GA and WOA

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Authors: P. Jayaprakash, Ankammarao Padamurthy, Palleti Venkataramana, S Arunsaco, C Ahilan, G. Harinadh Gowd
Cited by: 0

Abstract

In the 4 th Industrial Revolution is implemented with the help of advances in Artificial Intelligence (AI). The effect of AI has automatized mechanical engineering with intelligent machines and robots. The technology used in machines today is designed to aid solutions in addressing real-world and complex problems. During the Industrial Revolution, manufacturing a better-quality product with high speed and accuracy became possible through advanced manufacturing techniques, which utilised a laser beam. Laser is used to weld similar/dissimilar materials with optimum strength and a Heat Affected Zone. AI is used to find better manufacturing process parameters for the Laser beam welding process. In this research paper, the laser beam welding is used to weld the AISI 316 and AISI 4130 steel metals and identify.

Fields of Study & Subjects

Welding Techniques and Residual Stresses Additive Manufacturing Materials and Processes Advanced Machining and Optimization Techniques

Publication details

Journal / source
CRC Press eBooks
Pages
168–176
Publication date
12 February 2026
Language
EN
Document type
Book chapter