Evolutionary algorithms on diamond grinding of SiC Online publication date: Tue, 18-Jan-2011
by T.S. Lee, T.O. Ting, P.V. Rao, V.C. Venkatesh, Y.J. Lin
International Journal of Precision Technology (IJPTECH), Vol. 2, No. 1, 2011
Abstract: Optimisation is needed in order to achieve better product quality, high productivity and low cost. Efficient grinding involves the optimal selection of operating parameters to maximise the material removal rate (MRR) while maintaining the required surface finish, and minimising surface damage. Three prominent evolutionary algorithms were used. They are particle Swarm optimisation (PSO), differential evolution (DE) and genetic algorithm (GA). Novel methodologies for tuning PSO and DE for optimising grinding process have been proposed. Validation of optimum MRR obtained from these algorithms has been done and the MRR values obtained from the proposed methodologies are encouraging.
Online publication date: Tue, 18-Jan-2011
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