Optimization of Process Parameters of Gas Metal Arc Welding using Taguchi Method

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Authors

  • Ranjan Kumar
     Swami Vivekananda University, Barrackpore, Kolkata - 700121, West Bengal ,IN
  • Bidyut Ghosh
     Swami Vivekananda University, Barrackpore, Kolkata - 700121, West Bengal ,IN
  • Ravi Nigam
     Swami Vivekananda University, Barrackpore, Kolkata - 700121, West Bengal ,IN
  • Arijit Mukherjee
     Swami Vivekananda University, Barrackpore, Kolkata - 700121, West Bengal ,IN
  • Somnath Das
     Swami Vivekananda Institute of Science and Technology, Kolkata - 700145, West Bengal ,IN

DOI:

https://doi.org/10.18311/jmmf/2023/43787

Keywords:

GMAW, Hardness, Metal, MS2062, S/N Ratio, Taguchi, Tensile Test

Abstract

Achieving good welding quality is one of the major challenges in gas metal arc welding. Welding processes parameters significantly affects the quality of welding and needs to be optimized to ensure quality weld. The principal processes parameters affecting the weld quality are welding current, welding voltage, welding speed, and gas flow rate. Taguchi technique and ANOVA is an efficient method for optimizing the quality and performance output of manufacturing processes. Accordingly, Taguchi and ANOVA has been employed to optimize the process parameters. In addition, a comparison of the strengths of the various welded joints obtained by the gas metal arc welding Process has been presented. Welding voltage turns out to be the most important parameter of tensile strength and hardness.

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Published

2024-05-24

How to Cite

Kumar, R., Ghosh, B., Nigam, R., Mukherjee, A., & Das, S. (2024). Optimization of Process Parameters of Gas Metal Arc Welding using Taguchi Method. Journal of Mines, Metals and Fuels, 71(12A), 6–14. https://doi.org/10.18311/jmmf/2023/43787

Issue

Volume 71, Issue 12A , 2023

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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References

Kumar R, Biswas S, Das S, Ershad M. Experimental investigation of welding parameters on mild steel using metal active gas welding. Journal of Mines, Metals and Fuels. 2023; 71(11):2078-83. https://doi.org/10.18311/ jmmf/2023/36094 DOI: https://doi.org/10.18311/jmmf/2023/36094

Moi, SC, Rudrapati R, Bandyopadhyay A, Pal PK. Parametric studies on TIG welding of 316L stainless steel by RSM and TLBO. Materials Science Forum, Trans Tech Publications Ltd. 2019; 969:744–9. https:// doi.org/10.4028/www.scientific.net/MSF.969.744 DOI: https://doi.org/10.4028/www.scientific.net/MSF.969.744

Pujari KS, Patil DV, Mewundi G. Selection of GTAW process parameter and optimizing the weld pool geometry for AA 7075-T6 Aluminium alloy. Materials Today: Proceedings. 2018; 5(11):25045-55. https://doi. org/10.1016/j.matpr.2018.10.305 DOI: https://doi.org/10.1016/j.matpr.2018.10.305

Biswas AR, Chakraborty S, Ghosh PS, Bose D. Study of parametric effects on mechanical properties of stainless steel (AISI 304) and medium carbon steel (45C8) welded joint using GMAW. Materials Today: Proceedings. 2018; 5(5):12384-93. https://doi.org/10.1016/j. matpr.2018.02.217 DOI: https://doi.org/10.1016/j.matpr.2018.02.217

Srivastava S, Garg RK. Process parameter optimization of gas metal arc welding on IS: 2062 mild steel using response surface methodology. Journal of Manufacturing Processes. 2017; 25:296-305. https://doi.org/10.1016/j. jmapro.2016.12.016 DOI: https://doi.org/10.1016/j.jmapro.2016.12.016

Karadeniz E, Ozsarac U, Yildiz C. The effect of process parameters on penetration in gas metal arc welding pro- cesses. Materials & design. 2007; 28(2):649-56. https:// doi.org/10.1016/j.matdes.2005.07.014 DOI: https://doi.org/10.1016/j.matdes.2005.07.014

Haragopal G, Reddy PV, Reddy G, Subrahmanyam JV. Parameter design for MIG welding of Al-65032 alloy using Taguchi technique. Journal of Scientific & Industrial Research. 2011; 70(10).

Math P, Kumar BP. Analysis optimization and model- ling of CO2 welding process parameters in fabrication of mild steel plates. Materials Today: Proceedings. 2021; 45:420-3. https://doi.org/10.1016/j.matpr.2020.12.1004 DOI: https://doi.org/10.1016/j.matpr.2020.12.1004

Ghosh N, Rudrapati R, Pal PK, Nandi G. Parametric optimization of gas metal Arc welding process by using Taguchi method on ferritic stainless steel AISI409. Materials Today: Proceedings. 2017; 4(2):2213-21.

https://doi.org/10.1016/j.matpr.2017.02.068 DOI: https://doi.org/10.1016/j.matpr.2017.02.068

Mohanavel V, Ravichandran M, Kumar SS. Optimization of tungsten inert gas welding parameters to: Attain maximum impact strength in AA6061 alloy joints using Taguchi Technique. Materials Today: Proceedings. 2018; 5(11):25112-20. https://doi.org/10.1016/j.matpr.2018.10.312 DOI: https://doi.org/10.1016/j.matpr.2018.10.312

Shanmugasundar G, Karthikeyan B, Ponvell PS, Vignesh V. Optimization of process parameters in TIG welded joints of AISI 304L-austenitic stainless steel using Taguchi’s experimental design method. Materials today: proceedings. 2019; 16:1188-95. https://doi.org/10.1016/j. matpr.2019.05.213 DOI: https://doi.org/10.1016/j.matpr.2019.05.213

Chellappan M, Lingadurai K, Sathiya P. Characterization and Optimization of TIG welded supermartensitic stain- less steel using TOPSIS. Materials Today: Proceedings. 2017; 4(2):1662-9. https://doi.org/10.1016/j. matpr.2017.02.005 DOI: https://doi.org/10.1016/j.matpr.2017.02.005

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