Predictive Machine Learning Modeling of Laser Strengthening in Thin-Walled Steel Structures
DOI:
https://doi.org/10.31305/rrijm.2026.v11.n06.029Keywords:
local laser strengthening, finite element analysis, machine learning, process optimizationAbstract
Local laser strengthening is an effective method for improving the mechanical performance of thin-walled steel structures without increasing their thickness or weight. This review summarizes recent developments in predictive approaches to laser strengthening and presents a hybrid framework that combines finite element analysis with machine learning. The approach integrates the physical accuracy of finite element simulations with the computational efficiency of data-driven methods. It provides a basis for efficient prediction and inverse optimization across a broad range of laser processing parameters and treatment patterns.
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