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

Authors: Arup Kumar Nandi, J. Paulo Davim

Addresses: Department of General Engineering Design, Central Mechanical Engineering Research Institute, MG Avenue, WB, Durgapur 713209, India. ' Department of Mechanical Engineering, University of Aveiro, Campus Santiago, 3810-193 Aveiro, Portugal

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.

Keywords: optimisation; lubricant quantity; FLC; fuzzy logic; fuzzy control; GAs; genetic algorithms; drilling; surface roughness; soft computing

DOI: 10.1504/IJMPT.2010.029462

International Journal of Materials and Product Technology, 2010 Vol.37 No.1/2, pp.102 - 116

Published online: 30 Nov 2009 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article