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

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...

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Bibliographic Details
Main Authors: Pattanaik, A.K., Panda, S.N., Pal, K., Mishra, D.
Format: Conference Proceeding
Language:English
Subjects:
Genetic Algorithm
Grey Relational Analysis
Orthogonal Array
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Summary: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 multiobjective genetic algorithm. The analytical results were validated with experimental run so to analyse the efficiency of methods.
ISSN:2214-7853
2214-7853
DOI:10.1016/j.matpr.2018.02.108