Optimization of TIG Welding Parameters for the 202 Stainless Steel Using NSGA-II

  • Neeraj Sharma Maharishi Markandeshwar (Deemed to be University) Mullana
  • Wathiq Sleam Abduallah
  • Manish Garg
  • Rahul Dev Gupta Maharishi Markandeshwar (Deemed to be University) Mullana
  • Rajesh Khanna DAV University, Jalandhar
  • Rakesh Chandmal Sharma Maharishi Markandeshwar (Deemed to be University) Mullana

Abstract

Tungsten Inert Gas welding is a fusion welding process having very wide industrial applicability. In the present study, an attempt has been made to optimize the input process variables (electrode diameter, shielding gas, gas flow rate, welding current and groove angle) that affect the output responses i.e. hardness and tensile strength at weld centre of the weld metal SS202. Process variables play an important role for a good quality weld. Taguchi based design of experiments was used for experimental planning and the results were studied using analysis of variance. The results shows that for tensile strength of the welded specimens, welding current and electrode diameter are the two most significant factors with P-values of 0.002 and 0.030 for mean analysis, respectively leading to changes in tensile strength. Whereas higher tensile strength was observed when electrode diameter used was 1.5 mm, shielding gas used was helium, gas flow rate 15 L/min, welding current 240A and groove angle 60o was used. Welding current was found to be most significant factor with P-value 0.009 leading to change in hardness at weld region. The hardness at weld region tends to decrease significantly with the increase in welding current from 160-240A. The different shielding gases and groove angle does not show any significant affect on tensile strength and hardness at weld centre. These response variables were evaluated at 95% confidence interval and the confirmation test were performed on suggested optimal process variable. The obtained results were compared with estimated mean value, which were lying within ±5%.

Author Biographies

Neeraj Sharma, Maharishi Markandeshwar (Deemed to be University) Mullana
Associate Professor, Department of Mechanical Engineering
Rahul Dev Gupta, Maharishi Markandeshwar (Deemed to be University) Mullana
Associate Professor, Department of Mechanical Engineering
Rajesh Khanna, DAV University, Jalandhar
Associate Professor, Department of Mechanical Engineering
Rakesh Chandmal Sharma, Maharishi Markandeshwar (Deemed to be University) Mullana
Professor, Department of Mechanical Engineering

References

Bouacha, K., Yallese, A.M., Mabrouki, T., Rigal, J.F. 2010. Statistical analysis of surface roughness and cutting forces using response surface methodology in hard turning of AISI 52100 bearing steel with CBN tool. International Journal of Refractory Metal and Hard Materials 28: 349–361.

Deb, K., Pratap, A., Agarwal, S., et al. 2002. A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Trans Evolutionary Computations 6: 182–197.

Esme, U., Bayramoglu, M., Kazancoglu, Y., Ozgun, S. 2009. Optimization of weld bead geometry in Tig welding process using grey relation analysis and Taguchi method. Materials and Technology 43:143-149.

Gao, M., Zeng, X., Hu, Q. 2007. Effects of gas shielding parameters on weld penetration of CO2 laser-TIG hybrid welding. Journal of Material Processing Technology 184: 177–183.

Hadadzadeh, A., Ghaznavi, M.M., Kokabi, A.H. 2014. The effect of gas tungsten arc welding and pulsed-gas tungsten arc welding processes’ parameters on the heat affected zone-softening behavior of strain-hardened Al–6.7Mg alloy. Materials and Design 55: 335–342.

Horng, J.T., Liu, N.M., Chiang, K.T. 2008. Investigating the machinability evaluation of Hadfield steel in the hard turning with Al2O3/TiC mixed ceramic tool based on the response surface methodology. Journal of Materials Processing Technology 208: 532–541.

Hsieh, C.C., Lin, D.Y., Chen, M.C., Wu, W. 2008. Precipitation and strengthening behavior of massive δ- ferrite in dissimilar stainless steels during massive phase transformation. Material Science and Engineering - A 477: 328-333.

Jangra, K.K., Sharma, N., Khanna, R., Matta, D. 2016. An experimental investigation and optimization of friction stir welding process for AA6082 T6 (cryogenic treated and untreated) using an integrated approach of Taguchi, grey relational analysis and entropy method. Journal of Materials: Design and Applications 230: 454-469.

Juang, S.C., Tarng, Y.S. 2002. Process parameter selection for optimizing the weld pool geometry in the tungsten inert gas welding of stainless steel. Journal of Material Processing Technology 122: 33–37.

Khanna, R., Kumar, A., Garg, M.P., Singh, A., Sharma, N. 2015. Multiple performance characteristics optimization for Al 7075 on electric discharge drilling by Taguchi grey relational theory. Journal of Industrial Engineering International 11: 459-472.

Khullar, V., Sharma, N., Kishore, S., Sharma, R. 2017. RSM- and NSGA-II-Based Multiple Performance Characteristics Optimization of EDM Parameters for AISI 5160. Arabian Journal of Science and Engineering 42: 1917-1928.

Kumar, A., Sundarrajan, S. 2009. Effect of welding parameters on mechanical properties and optimization of pulsed TIG welding of Al-Mg-Si alloy. International Journal of Advanced Manufacturing Technology 42:118–125.

Kumar, S.L., Verma, S.M., Prasad, P.R., Kumar, P.K., Shanker, T.S. 2011. Experimental Investigation for Welding Aspects of AISI 304 & 316 by Taguchi Technique for the Process of TIG & MIG Welding. International Journal of Engineering Trend and Technology 2: 28-33.

Kumar, V., Jangra, K.K., Kumar, V., Sharma, N. 2017. WEDM of nickel based aerospace alloy: optimization of process parameters and modelling. International Journal of Interactive Design and Manufacturing 11: 917–929.

Manti, R., Dwivedi, D.K., Agarwal, A. 2008. Microstructure and Hv of Al-Mg-Si weldments produced by pulse GTA welding. International Journal of Advanced Manufacturing Technology 36: 263–269.

Montgomery, D.C. 2000. Design and Analysis of Experiments. New Jersey: John Wiley & Sons.

Pandey, C., Mahapatra, M.M., Kumar, P., Saini, N. 2018. Dissimilar joining of CFEF steels using autogenous tungsten-inert gas welding and gas tungsten arc welding and their effect on δ-ferrite evolution and mechanical properties. Journal of Manufacturing Processes 31: 247–259.

Roy, R.K. 2001. Design of Experiments Using The Taguchi Approach: 16 Steps to Product and Process Improvement. New Jersey: John Wiley & Sons.

Sahoo, A.K., Pradhan, S. 2013. Modeling and optimization of Al/SiCpMMC machining using Taguchi approach. Measurement 46: 3064–3072.

Sharma, N., Khanna, R., Singh, G., Kumar, V. 2017. Fabrication of 6061 aluminum alloy reinforced with Si3N4/n-Gr and its wear performance optimization using integrated RSM-GA, Particulate Science and Technology 35: 731-741.

Sharma, N., Kumar, K., Raj, T., Kumar, V. 2016. Porosity exploration of SMA by Taguchi, regression analysis and genetic programming. Journal of Intelligent Manufacturing. doi: 10.1007/s10845 -016 -1236-8.

Srinivas, N., Deb, K. 1994. Multi objective optimization using non-dominated sorting algorithm. Evolutionary Computations. 2: 241–248.

Tseng, K.H., Hsu, C.Y. 2011. Performance of activated TIG process in austenitic stainless steel welds. Journal of Material Processing Technology 211: 503–512.

Tarng, Y.S., Yang, W.H. 1998. Optimization of the weld bead geometry in gas tungsten arc welding by the Taguchi method. International Journal of Advanced Manufacturing Technology 14: 549-554.

Wang, L., Wei, Y., Zhao, W., Zhan, X., She, L. 2018. Effects of welding parameters on microstructures and mechanical properties of disk laser beam welded 2A14-T6 aluminum alloy joint. Journal of Manufacturing Processes 31: 240–246.

Wang, X.H., Niu, J.T., Guan, S.K., Wang, L.J., Cheng, D.F. 2009. Investigation on TIG welding of SiCp-reinforced aluminum–matrix composite using mixed shielding gas and Al–Si filler. Material Science and Engineering - A 499: 106–110.

Yazdani, A., Naseri, R., Rahmati, S. 2017. Investigation of springback of two-layer metallic sheet produced by explosive welding in U-die bending process. Journal of Engineering Research 5: 187-206

Published
2020-11-19
Section
Mechanical Engineering (1)