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A comparative study on mechanical properties of single- and twin-wire welded joints through multi-objective meta-heuristic optimisation

A comparative study on mechanical properties of single- and twin-wire welded joints through... Multi-objective optimisation of the mechanical properties of - and -wire welded joints is presented. Diversity in functional relation between various mechanical properties and welding process parameters is mapped using artificial neural network modelling. An aggregate index as a function of process parameters is proposed for collective assessment of the mechanical properties namely, ultimate tensile strength, yield strength, % elongation, % reduction in area, impact toughness, fatigue life, and heat affected zone hardness. Optimisation of the aggregate index through simulated annealing indicates existent of multiple near optimum solutions facilitating development of a process window. The quality plots visualising the effects of process parameters on combined mechanical properties suggest superiority of -wire over -wire welding. [Received 30 August 2015; Accepted 24 October 2016] Keywords: mechanical properties; -wire welding; aggregate indexing; artificial neural network; ANN; simulated annealing. Reference to this paper should be made as follows: Sharma, A. (2016) `A comparative study on mechanical properties of - and -wire welded joints through multi-objective meta-heuristic optimisation', Int. J. Manufacturing Research, Vol. 11, No. 4, pp.374­393. Biographical notes: Abhay Sharma is a faculty member at Indian Institute of Technology Hyderabad, India, since 2010. He obtained his PhD as a National Doctoral Fellow from http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Manufacturing Research Inderscience Publishers

A comparative study on mechanical properties of single- and twin-wire welded joints through multi-objective meta-heuristic optimisation

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Publisher
Inderscience Publishers
Copyright
Copyright © 2016 Inderscience Enterprises Ltd.
ISSN
1750-0591
eISSN
1750-0605
DOI
10.1504/IJMR.2016.082814
Publisher site
See Article on Publisher Site

Abstract

Multi-objective optimisation of the mechanical properties of - and -wire welded joints is presented. Diversity in functional relation between various mechanical properties and welding process parameters is mapped using artificial neural network modelling. An aggregate index as a function of process parameters is proposed for collective assessment of the mechanical properties namely, ultimate tensile strength, yield strength, % elongation, % reduction in area, impact toughness, fatigue life, and heat affected zone hardness. Optimisation of the aggregate index through simulated annealing indicates existent of multiple near optimum solutions facilitating development of a process window. The quality plots visualising the effects of process parameters on combined mechanical properties suggest superiority of -wire over -wire welding. [Received 30 August 2015; Accepted 24 October 2016] Keywords: mechanical properties; -wire welding; aggregate indexing; artificial neural network; ANN; simulated annealing. Reference to this paper should be made as follows: Sharma, A. (2016) `A comparative study on mechanical properties of - and -wire welded joints through multi-objective meta-heuristic optimisation', Int. J. Manufacturing Research, Vol. 11, No. 4, pp.374­393. Biographical notes: Abhay Sharma is a faculty member at Indian Institute of Technology Hyderabad, India, since 2010. He obtained his PhD as a National Doctoral Fellow from

Journal

International Journal of Manufacturing Research – Inderscience Publishers

Published: Jan 1, 2016

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