Review on the Strength and Toughness of Laser-CMT Hybrid Welding Welds
DOI:
https://doi.org/10.6919/ICJE.202504_11(4).0006Keywords:
Laser-CMT Hybrid Welding; Process Parameters; Strength and Toughness Indicators; Data-driven Methods.Abstract
Laser-Cold Metal Transfer (CMT) hybrid welding demonstrates significant advantages in enhancing weld joint strength and toughness through synergistic low heat input, dynamic molten pool control, and refined microstructure. Compared to traditional arc welding, it suppresses heat-affected zone (HAZ) grain coarsening (e.g., grain size <10 μm in high-strength steel), optimizes phase composition (e.g., martensite proportion >95%), and reduces defects (porosity <0.5%), achieving 20%-50% improvements in yield strength, elongation, and impact toughness. Current research highlights the quantitative correlation between process parameters (laser power, wire spacing) and mechanical performance, while machine learning models (e.g., PSO-SVM, deep learning) enable nonlinear prediction of toughness with errors <8%. Future directions emphasize hybrid models integrating physical mechanisms and data-driven approaches, real-time parameter optimization, and applications in extreme environments. This technology holds transformative potential for aerospace, automotive, and high-value manufacturing industries.
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