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


Affiliations
1 Department of Mechanical Engineering, Government College of Engineering, Kalahandi, Odisha, India
2 Production Engineering Department, Veer Surendra Sai University of Technology, Burla, Odisha, India
     

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

Abstract Views: 374  |  PDF Views: 3

Authors

A. K. Pattanaik
Department of Mechanical Engineering, Government College of Engineering, Kalahandi, Odisha, India
S. N. Panda
Production Engineering Department, Veer Surendra Sai University of Technology, Burla, Odisha, India
B. P. Mishra
Production Engineering Department, Veer Surendra Sai University of Technology, Burla, Odisha, India
K. Pal
Production Engineering Department, Veer Surendra Sai University of Technology, Burla, Odisha, India
D. Mishra
Production Engineering Department, Veer Surendra Sai University of Technology, Burla, Odisha, India

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.

References