MODELING AND OPTIMUM PARAMETERS OF CO2 LASER MIG HYBRID WELDING PROCES

Year 2021, Volume: 4 Issue: 2, 91 - 100, 31.12.2021

Recep Türkoğlu Levent Aydın , Elif Gültürk

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.

References

• [1] Duley, W.W., Laser Welding, New York: Wiley, 1999.
• [2] Hügel, H., Schinzel, C., Handbook of Laser Technology and Applications. Applications, Part D, Welding. Edited by C.E. Webb and Julian D.C. Jones, Bristol: Institute of Physics. 2004.
• [3] Seyffarth, P., Krivtsun, I.V., Laser-arc Processes and Their Applications in Welding and Material Treatment, London: Taylor & Francis, 2002.
• [4] Kah, P., Overvıew Of The Exploratıon Status Of Laser-Arc Hybrıd Weldıng Processes, Reviews on Advanced Materials Science, 2012, 30:112-132.
• [5] Qin, G.L., Lei, Z., Lin, S.Y., Effects of Nd:YAG laser pulsed MAG arc hybrid welding parameters on its weld shape, Science and Technology of Welding & Joining, 2007, 12(1):79-86.
• [6] Shuangyu, L., Fengde , L., Hong, Z., Yan, Shi., Analysis of droplet transfer mode and forming process of weld bead in CO2 laser-MAG hybrid welding process, Optics & Laser Technology, 2012, 44(4):1019-1025.
• [7] Zhang, L.J., Ning J., Zhang, X.J., Zhang, G.F., Zhang, J.X., Single pass hybrid laser–MIG welding of 4-mm thick copper without preheating material and Design, 2015, 74:1-18.
• [8] Zhang, L.J., Bai, Q.L., Ning, J., Wang, A., Yang, J.N., Yin, X.Q., Zhang, J.X., A comparative study on the microstructure and properties of copper joint between MIG welding and laser-MIG hybrid welding, Materials & Design, 2016, 110:35-50.
• [9] Cai, C., Feng, J., Li, L., Chen, Y., Influence of laser on the droplet behavior in short circuiting, globular, and spray modes of hybrid fiber laser-MIG welding, Optics & Laser Technology, 2016, 83:108-118.
• [10] Pang, S., Chen, X., Zhou, J., Shao, X., Wang, C., 3D transient multiphase model for keyhole, vapor plume, and weld pool dynamics in laser welding including the ambient pressure effect, Optics and Lasers in Engineering, 2015, 74:47-58.
• [11] Zhang, L., Gao, X., Sun, M., Zhang, J., Weld outline comparison between various pulsed Nd:YAG laser welding and pulsed Nd:YAG laser–TIG arc welding, The International Journal of Advanced Manufacturing Technology, 2014, 75(1–4):153–160.
• [12] Ancona, A., Sibillano, T., Tricarico. L., Spina, R., Lugar’a PM., Basile. G., Schiavone, S., Comparison of two different nozzles for laser beam welding of AA5083 aluminum alloy, Journal of Materials Processing Technology, 2005, 164–165:971–977.
• [13] Tani, G., Campana, G., Fortunato, A., Ascari, A., The influence of shielding gas in hybrid Laser–MIG welding, Applied surface science, 2007, 253:8050–8053.
• [14]Casalino, G., Statistical analysis of MIG-laser CO2 hybrid welding of Al–Mg alloy, Journal of Materials Processing Technology, 2007, 191:106-110.
• [15] Ghosal, S, Chaki, S., Estimation and optimization of depth of penetration in hybrid CO2 Laser-MIG welding using ANN-optimization hybrid model, The International Journal of Advanced Manufacturing Technology, 2010, 47:1149- 57.
• [16] Chaki, S., Shanmugarajan, B., Ghosal S., Padmanabhamd, G., Application of integrated soft computing techniques for optimization of hybrid CO2laser–MIG welding process, Applied Soft Computing, 2015, 30:365-374.
• [17] Avaliable in Wolfram Mathematica, ‘FindFit’ Solver.
• [18] Fang, H., Rais-Rohani, M., Liu, Z., Horstemeyer, M.F., A Comparative Study of Metamodeling Methods for Multi-objective Crash worthiness Optimization, Computers & Structures, 2005, 83: 2121-2136.
• [19] Öztürk, S., Aydin, L., Çelik. E., A Comprehensive Study on Slicing Processes Optimization of Silicon Ingot for Photovoltaic Applications, Solar Energy, 2018, 161: 109-124.
• [20] Polatoglu, I., Aydin, L., Nevru, B.C., Ozer, S., A Novel Approach for the Optimal Design of a Biosensor, Anal Letters, 2020, 53(9):1428-1445.
• [21] Silva, S.P., Ribeiro Filho, S.L.M., Brandao, L.C., Particle Swarm Optimization for Achieving the Minimum Profile Error in Honing Process, Precision Engineering, 2014, 38: 759-768.
• [22] Aydin, L., Artem, H.S., Oterkus, S. (Editors), Designing Engineering Structures Using Stochastic Optimization Methods, CRC Press Taylor & Francis Group, 2020.
• [23] Krivtsun, I.V., Khaskin, V.Y., Korzhik V.N., Ziyi L., Industrial Application of Hybrid Laser-Arc Welding (Review), The Paton Welding Journal, 2015, 7:41-46.