Multi Objective Optimization of Drilling Parameters Using Genetic Algorithm

Drilling operation on the aircraft and unmanned ariel vehicle made of composite materials is considered as a precarious and highly sensitive operation. Due to the problem of delamination and eccentricity of drilled hole which leads to loosening of rivets in joining various structures is challenging. Hence in modern research of manufacturing process the multi objective optimization of drilling parameters has become an embryonic topic. In this paper the feed rate and the torque of drilling tool has been selected as input parameters and the multi objective optimization of drilled hole has been carried out. The optimization parameters considered are the hole eccentricity and material removal rate. Carbon fibre reinforced plastic composite material has been chosen for investigation. The maximum and minimum eccentricity limits have been computed by Finite element formation. Genetic Algorithm optimization technique has been formulated. Experimental investigation has been carried out and compared with numerical method and soft computing techniques. (c) 2012 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Noorul Islam Centre for Higher Education