Determination of optimum amount lubricant in drilling using soft-computing tools: desired surface roughness

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.