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Optimization of Operating Parameters in Wire Electric Discharge Machining Using Particle Swarm Optimization and Memetic Algorithm


Affiliations
1 School of Mechanical Engineering, Shanmugha Arts, Science, Technology & Research Academy, Thanjavur - 613 402, India
2 Department of Mechanical Engineering, J.J. College of Engineering, Tiruchirappalli-620 009, India
     

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Wire Electric Discharge Machining process is one of the important nontraditional machining process which is used to machine hard materials, complex shapes and contours which are difficult by conventional methods. In this paper Particle Swarm Optimization (PSO) and Memetic Algorithm (MA) based optimization procedures have been developed to optimize machining parameters viz machining speed, pulse on time, pulse off time, and peak current by using two response equations for material removal rate and surface roughness. The objective function considered for optimization is maximization of material removal rate and minimization of surface roughness. Here objective function is solved by taking combined objective function (weightage given 50% to material removal rate and 50% to surface roughness) i.e. minimization of material removal rate and surface roughness. The output results o f these two algorithms are compared.
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  • Optimization of Operating Parameters in Wire Electric Discharge Machining Using Particle Swarm Optimization and Memetic Algorithm

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Authors

K. Thangadurai
School of Mechanical Engineering, Shanmugha Arts, Science, Technology & Research Academy, Thanjavur - 613 402, India
J. Jerald
School of Mechanical Engineering, Shanmugha Arts, Science, Technology & Research Academy, Thanjavur - 613 402, India
P. Satheesh
School of Mechanical Engineering, Shanmugha Arts, Science, Technology & Research Academy, Thanjavur - 613 402, India
R. Saravanan
Department of Mechanical Engineering, J.J. College of Engineering, Tiruchirappalli-620 009, India

Abstract


Wire Electric Discharge Machining process is one of the important nontraditional machining process which is used to machine hard materials, complex shapes and contours which are difficult by conventional methods. In this paper Particle Swarm Optimization (PSO) and Memetic Algorithm (MA) based optimization procedures have been developed to optimize machining parameters viz machining speed, pulse on time, pulse off time, and peak current by using two response equations for material removal rate and surface roughness. The objective function considered for optimization is maximization of material removal rate and minimization of surface roughness. Here objective function is solved by taking combined objective function (weightage given 50% to material removal rate and 50% to surface roughness) i.e. minimization of material removal rate and surface roughness. The output results o f these two algorithms are compared.