Optimization of machining parameters for multi-performance characteristics in drilling hybrid metal matrix composites

Abstract

In this study, an approach based on grey relational analysis and the Taguchi method is used to optimize machining parameters with multiple performance characteristics in drilling hybrid Al 356/SiC-mica composites. Experiments were conducted on a vertical machining centre, and Taguchi’s Quality Concept, a L₉, 3-level orthogonal array was chosen for the experiments. The drilling parameters, namely spindle speed, feed rate, drill and wt% of SiC, were optimized based on multiple performance characteristics including thrust force, surface roughness, and torque. The grey relational analysis with multiple performance characteristics indicates that the feed rate and the type of drill are the most significant factors which affect performance. Experimental results have shown that drilling process performance can be improved effectively by using this approach.