Title: Optimisation of resistance spot welding process for real unconstrained and constrained scenarios using cuckoo search algorithm

Authors: Rushikesh Dandagwhal; C.V. Chavan; Chandrakant Wani

Addresses: Mechanical Engineering Department, NMIMS, MPSTME, Shirpur, Maharashtra, 425405, India ' Optimisation and Simulation, TATA Steel, Jamshedpur, 831001, India ' Mechanical Engineering Department, NMIMS, MPSTME, Shirpur, Maharashtra, 425405, India

Abstract: The optimum selection of process parameters is essential for a designer, as it incur high initial investment, power and; operating and maintenance costs. This article presents optimisation aspects of resistance spot welding process using cuckoo search algorithm. The parameters are studied critically to obtain the optimum settings satisfying one or more quality characteristics. Some constrained and unconstrained single as well as multi-objective optimisation problems related to the practical case studies are solved. The obtained results are compared with those derived by the past researchers. It is found that the present results are better than the previous results in all the cases. The solved examples illustrated a novel effectiveness of the presented algorithm and its application suitability in the field of resistance spot welding. [Submitted 18 November 2017; Accepted 30 June 2018]

Keywords: resistance spot welding; RSW; cuckoo search algorithm; CSA; optimisation; parameters; response.

DOI: 10.1504/IJMR.2019.104391

International Journal of Manufacturing Research, 2019 Vol.14 No.4, pp.334 - 354

Received: 18 Nov 2017
Accepted: 30 Jun 2018
Published online: 09 Jan 2020 *

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