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A Comparative Investigation to Process Parameter Optimization for Spot Welding Using Taguchi Based Grey Relational Analysis and Metaheuristics

Technology Spectrum Review

Volume 2 Issue 1

Published: 2017
Author(s) Name: A. K. Pattanaik, S. N. Panda, B. P. Mishra, K. Pal, D. Mishra | Author(s) Affiliation:
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Abstract

The present work investigate on parametric study and optimization of process parameter in resistance spot weld efficiency of chromate micro-alloyed cold rolled mild steel sheets using L25 Taguchi design of experiments. The output responses are being studied as tensile shear strength of the weldment and nugget diameter which is affected by the input variables like weld current, electrode force and weld time. Both output responses were optimized to achieve effective values by using conventional Taguchi based Grey Relational Analysis and a Metaheuristics method as Genetic Algorithm. Here in present work two main goals specifically tensile shear strength and nugget diameter simultaneously optimized using multi-objective genetic algorithm. The analytical results were validated with experimental run so to analyze the efficiency of methods.

Keywords: Genetic algorithm, Grey relational analysis, Orthogonal array

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