MODELING AND OPTIMUM PARAMETERS OF CO2 LASER MIG HYBRID WELDING PROCES
Abstract
In engineering applications, the welding process is vitally important for many industrial areas. Generally, Hybrid Laser-MIG Welding (HLAW) is a preferred process in shipbuilding, road transport, rail transport, oil and gas. Principally, the quality of Hybrid Laser-MIG welding is dominantly determined by some welding criteria and also plays an essential role in the characterization of their mechanical properties. In this study, the effect of HLAW process parameters (power, torch angle, the distance between laser and welding torch, focal distance from workpiece surface) on weld quality and depth of weld penetration responses were investigated. Mathematical models were developed for optimization and prediction of depth of weld penetration. Also, a multiple non-linear regression analysis was applied to construct relationships between welding process parameters and weld penetration in HLAW. Firstly, a mathematical model was developed to predict section weld penetration. The mathematical model for estimating the HLAW phenomenon was found to be able to accurately predict the process as a result of multiple regression analysis. In the optimization step, "Random Search" methods were used. As a result of the work done, the optimum deep weld penetration was gained. The results showed that welding penetration increased with decreasing the torch angle.
Keywords
Hybrid Laser-MIG Welding (HLAW), Stochastic Optimization Method, Neuro-Regression Approach, Torch Angle
Thanks
The authors would like to thank the organizing committee of the TICMETʼ20 conference held at Gaziantep University on 5-7 November 2020 for their hospitality and support.
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