A Real Coded Genetic Algorithm for Optimization of Cutting Parameters in Turning
نویسنده
چکیده
Asso. Prof.,Dept. of Mech. Engg. G.I.E.T, Rajahmundry, A.P, India DGM (Retd.), B.H.E.L, R&D, Balanagar, Hyderabad, A.P, India Abstract Surface roughness, an indicator of surface quality is one of the most specified customer requirements in a machining process. For efficient use of machine tools, optimum cutting parameters (speed, feed and depth of cut) are required. So it is necessary to find a suitable optimization method which can find optimum values of cutting parameters for minimizing surface roughness. The turning process parameter optimization is highly constrained and nonlinear, so this paper proposes a real coded genetic algorithm (RCGA) to find optimum cutting parameters. This paper explains various issues of RCGA and its advantages over the existing approach of binary coded genetic algorithm. The results obtained, conclude that RCGA is reliable and accurate for solving the cutting parameter optimization.
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