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Optimal Selection of Metal Active Gas Welding Parameters in Joining High Carbon Steel: Though The AHP


Affiliations
1 Department of Mechanical Engineering, Dr. B. C. Roy Engineering College, Durgapur, Duragpur - 713206, West Bengal, India
2 Department of Mechanical Engineering, Indian Institute of Technology, Indore – 453331, Madhya Pradesh, India
3 Department of Mechanical Engineering, Kalyani Govt. Engineering College, Kalyani-741235, West Bengal, India
     

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The Analytic Hierarchy Process (AHP) is a wide employed multi-criteria decision making (MCDM) tool to solve varying decision-making problems through the process of ranking. In the present work, appropriate selection of process parameters in Gas Metal Arc Welding (GMAW) of High-Carbon Steel flats is explored utilizing the AHP. Different sets of experimental runs being the alternatives, the AHP yields the best set of alternatives among them considering some criteria, thereby finding out appropriate set of process parameters to obtain sound welding.

Keywords

Welding, GMAW, AHP, MCDM, Pair-Wise Comparison Scale, Consistency Index, Optimization.
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  • P Holimchayachotikul, W Laosiritaworn, R Jintawiwat, A Limcharoen, Optimization of Gas Metal Are Welding Parameters for ST 37 Steel Using Support Vector Regression, The IE Network Conference, 24-26 October 2007.
  • M St Wêglowski, Y Huang, Y M Zhang, Effects of welding current on metal transfer in GMAW, Archives of Material Science and Engineering, Vol 33, No 1, page 49-56, 2008.
  • F Kolahan, M Heidari, A New Approach for Predicting and Optimizing Weld Bead Geometry in GMAW, World Academy of Science, Engineering and Technology, Vol 59, 2009.
  • F Kolahan, M Heidari, Modeling and Optimization of MAG Welding for Gas Pipeline Using Regression Analysis and Simulated Annealing Algorithm, Journal of Scientific & Industrial Research, Vol 69, No April, page 259-265, 2010.
  • D S Nagesh, G L Datta, Modeling of Fillet Welded Joint of GMAW Process: Integrated Approach Using DOE, ANN and GA, International Journal of Interactive Design and Manufacturing, Vol 2, page 127-136, 2008.
  • P S Rao, O P Gupta, S S N Murty, A B Koteswara Rao, Effect of Process Parameters and Mathematical Model for the Prediction of Bead Geometry in Pulsed GMA Welding, Int J Adv Manuf Technol, Vol 45, page 496–505, 2009.
  • L Carrino, U Natale, L Nele, M L Sabatini, L Sorrentino, A Neuro-Fuzzy Approach for Increasing Productivity in Gas Metal Arc Welding Processes, International Journal of Advanced Manufacturing Technology, Vol 32, page 459-467, 2007.
  • T L Saaty, A Scaling Method for Priorities in Hierarchical Structures, Journal of Mathematical Psychology, Vol 15, No 3, page 234-281, 1977.
  • T L Saaty, Analytic Hierarchy Process. New York: McGraw-Hill, 1980.
  • L G Vargas, An Overview of the Analytic Hierarchy Process and Its Applications, European Journal of Operations Research, Vol 48, page 72–80, 1990.
  • T L Saaty, An Essay on how Judgment and Measurement are Different in Science and in Decision Making, International Journal of the Analytic Hierarchy Process, Vol 1, No 1, page 6162, 2009.
  • K Sabiruddin, S Das, Characterisation of Gas Metal Arc Welding of Different Steels, Proceedings of All India Workshop on Advances in Welding Science and Technology, Shibpur, Howrah, India, 2005.
  • M K Jaubari, N V Prasad, A T Rao, V Premchander, J S Nagaraju, Innovative cost effective concept in GMAW process to improve/ enhance weld aesthetics, quality and fatigue life. Indian Welding Journal, Vol 40, No 1, page 40-45, 2007
  • V Ravisankar, V Balasubramanian, C Muralidharan, Selection of Welding Process to Fabricate Butt Joints of High Strength Aluminium Alloys Using Analytic Hierarchic Process, Materials & Design, Vol 27, page 373-380, 2006.
  • K Sabiruddin, S Das, A Bhattacharya, Application of the Analytic Hierarchic Process for Optimization of Process Parameters in GMAW, Indian Welding Journal, Vol 42, No 1, page 38-46, 2009.
  • X Lai, C Ji, X. Luo, L Deng, Application of AHP Method of Orthogonal Trial to Selection of Parameters in Resistance Spot Welding, Electric Welding Machine, Vol 49, page 7-8, 2009.
  • X Liu, S L Gong, Evaluation on the Effect of Weld Shape on Fatigue Performance by Analytic Hierarchy Process, Advanced Materials Research, Vol 146/147, page 1839-1842, 2011.
  • C Mondal, S Bhattacharya, S Das, Parametric Optimization of Spot Welding of 17-4 PH Stainless Steels Using The Analytic Hierarchy Process, Indian Welding Journal, Vol 44, No 4, page 69-78, 2011.
  • K Sabiruddin, S Bhattacharya, S Das, Selection of Appropriate Process Parameters for Gas Metal Arc Welding of Medium Carbon Steel Specimens, International Journal of The Analytic Hierarchy Process, Vol 5, No 2, page 252-267, 2013.
  • N Biswas, S Das, Selection of Process Parameters for Welding P91 Steel Pipes Using The Analytic Hierarchy Process, Reason- A Technical Magazine, Vol 10, page 7-12, 2011.
  • B Mvola, P Kah, Effects of Shielding Gas Control: Welded Joint Properties in GMAW Process Optimization, The International Journal of Advanced Manufacturing Technology, Vol 88, page 2369–2387, 2017.
  • B Mvola, P Kah, P Layus, Review of Current Waveform Control Effects on Weld Geometry in Gas Metal Arc Welding Process, International Journal of Advanced Manufacturing Technology, Vol 96, No 9-12, page 4243-4265, 2018.
  • A Casarini, J P Coelho, É T Olívio, M Braz-César, J Ribeiro, Optimization and Influence of GMAW Parameters for Weld Geometrical and Mechanical Properties Using the Taguchi Method and Variance Analysis, ICEUBI-2019 International Congress on Engineering- Engineering for Evolution, Vol 2020, page 781-794, 2019.
  • D Jeyaganesh, A Ziout, J A Qudeiri, Optimization of P-GMAW Parameters Using Grey Relational Analysis and Taguchi method, 2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT), 13-15 May 2021, page 191-196, 2021.
  • G Nobrega, M S Souza, M Rodríguez-Martín, P Rodríguez-Gonzálvez, J Ribeiro, Parametric Optimization of the GMAW Welding Process in Thin Thickness of Austenitic Stainless Steel by Taguchi Method, Applied Sciences, page 1-15, 2021.
  • B L Golden, E A Wasil, D E Levy, Applications of the Analytic Hierarchy Process: A Categorized, Annotated Bibliography, in B L Golden, E A Wasil, P T Harker (Editors), The Analytic Hierarchy Process, Applications and Studies, SpringerVerlag, Berlin, page 37-58. 1989.
  • S Das, R Islam, and A B Chattopadhyay, A Simple Approach for on-line Tool Wear Monitoring Using the Analytic Hierarchy Process, Proceedings of the IMechE, Journal of Engineering Manufacture, Vol 211, No B1, page 19-27, 1997.
  • E H Forman, AHP is Intended for More than Expected Value Calculations, Decision Sciences, Vol 21, No 3, page 670-672, 1990.
  • S S Stevens, On the Theory of Scales of Measurement, Science, 103, pp. 677-680, 1946.
  • A Tversky, D Kahneman, Rational Choice and the Framing of Decisions, in Decision Making: Descriptive, Normative, and Prescriptive Interactions, in D E Bell, H Raiffa and A Tversky (Editors), page 167-192, Cambridge University Press, Cambridge, England, 1988.

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  • Optimal Selection of Metal Active Gas Welding Parameters in Joining High Carbon Steel: Though The AHP

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Authors

Subhajit Bhattacharya
Department of Mechanical Engineering, Dr. B. C. Roy Engineering College, Durgapur, Duragpur - 713206, West Bengal, India
Kazi Sabiruddin
Department of Mechanical Engineering, Indian Institute of Technology, Indore – 453331, Madhya Pradesh, India
Santanu Das
Department of Mechanical Engineering, Kalyani Govt. Engineering College, Kalyani-741235, West Bengal, India

Abstract


The Analytic Hierarchy Process (AHP) is a wide employed multi-criteria decision making (MCDM) tool to solve varying decision-making problems through the process of ranking. In the present work, appropriate selection of process parameters in Gas Metal Arc Welding (GMAW) of High-Carbon Steel flats is explored utilizing the AHP. Different sets of experimental runs being the alternatives, the AHP yields the best set of alternatives among them considering some criteria, thereby finding out appropriate set of process parameters to obtain sound welding.

Keywords


Welding, GMAW, AHP, MCDM, Pair-Wise Comparison Scale, Consistency Index, Optimization.

References





DOI: https://doi.org/10.24906/isc%2F2021%2Fv35%2Fi5%2F210552