Determination of optimum amount lubricant in drilling using soft-computing tools: desired surface roughness
by Arup Kumar Nandi, J. Paulo Davim
International Journal of Materials and Product Technology (IJMPT), Vol. 37, No. 1/2, 2010

Abstract: Here, an approach based on soft-computing tools is proposed to control the optimum amount of lubricant required in drilling to achieve a desired surface roughness. Two Fuzzy Logic Controllers (FLCs), using TSK-type and Mamdani-type fuzzy rules are developed which are later adopted to optimise the lubricant rate using Genetic Algorithm (GA). A comparison of optimisation results based on FLCs with experimental values shows that FLC with TSK-type fuzzy rule is more efficient for real implementation.

Online publication date: Mon, 30-Nov-2009

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