Optimization of the Micro-Drilling Process Based on the Grey Relational Analysis

摘要

This paper mainly describes searching for an optimal solution for micro-drilling a hole of 0.15mm with depth of 0.6mm using SKD61 tool steel. The orthogonal array with the grey relational analysis is utilized to optimize this process with multiple performance characteristics. The drilling parameters selected are spindle speed, feed rate, stepping amount, holding time, and number of steps; while the performance characteristics considered are tool life and life-cycle variation of hole diameter. The experiments are carried out based on a L{sub}18 orthogonal array and a quality characteristics of both smaller-the-better and larger-the-better. It is found that employing the orthogonal array with grey relational analysis is simple and efficient in determining an optimal combination of the drilling parameters. The results of the confirmation test also show that this approach can greatly improve the drilling performance of a micro-drilling process.