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Optimization Study of Process Parameters using Genetic Algorithm in EDM


Affiliations
1 Department of Mechanical Engineering, Vignan Institute of Technology & Science, Hyderabad, India
     

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Productivity and quality in production/manufacturing have great concerns in competitive global market; manufacturing units mainly focuses on these in relation to the process and product developed subsequently. Electrical Discharge Machining process, even now it is an experience process, wherein still the selected parameters are often far from the maximum, and at the same time selecting optimization parameters is costly and time-consuming affair. Material Removal Rate during the process has been considered in this work as a productivity estimate with the objective to maximize it, also have better surface roughness, taken as important output parameter, in the process. These two opposite objectives have been simultaneously satisfied by selecting an optimal process environment, optimal parameter setting. In this work, objective function is obtained using Regression Analysis and tested for optimization using Genetic Algorithm technique. The model is shown to be effective; MRR and Surface Roughness shown improved when used optimized machining parameters.

Keywords

EDM, Optimization, Process Parameters, Genetic Algorithm.
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  • Optimization Study of Process Parameters using Genetic Algorithm in EDM

Abstract Views: 307  |  PDF Views: 0

Authors

S. Deva Prasad
Department of Mechanical Engineering, Vignan Institute of Technology & Science, Hyderabad, India
K. Chandra Shekar
Department of Mechanical Engineering, Vignan Institute of Technology & Science, Hyderabad, India
B. Singaravel
Department of Mechanical Engineering, Vignan Institute of Technology & Science, Hyderabad, India
N. Venkateshwarlu
Department of Mechanical Engineering, Vignan Institute of Technology & Science, Hyderabad, India
E. Sai Santosh
Department of Mechanical Engineering, Vignan Institute of Technology & Science, Hyderabad, India

Abstract


Productivity and quality in production/manufacturing have great concerns in competitive global market; manufacturing units mainly focuses on these in relation to the process and product developed subsequently. Electrical Discharge Machining process, even now it is an experience process, wherein still the selected parameters are often far from the maximum, and at the same time selecting optimization parameters is costly and time-consuming affair. Material Removal Rate during the process has been considered in this work as a productivity estimate with the objective to maximize it, also have better surface roughness, taken as important output parameter, in the process. These two opposite objectives have been simultaneously satisfied by selecting an optimal process environment, optimal parameter setting. In this work, objective function is obtained using Regression Analysis and tested for optimization using Genetic Algorithm technique. The model is shown to be effective; MRR and Surface Roughness shown improved when used optimized machining parameters.

Keywords


EDM, Optimization, Process Parameters, Genetic Algorithm.

References