Grey Relational Analysis Based Taguchi Method for Optimization Design of the Drilling Parameters in PCB Drilling Process

Abstract:

The purpose of this paper is to study the multiple performance optimizations of printed circuit board (PCB) drilling parameters. The major characteristics indexes for performance selected to evaluate the processes are flank wear area of microdrill and diameter of the PCB through-hole, and the corresponding drilling parameters are spindle speed, infeed, and backfeed rate. Thus, the grey relational analysis based Taguchi method has been employed to determine the optimal combination of drilling parameters. The results of confirmation experiments reveal that the average values of grey relational grade fall within the 95% confidence interval, hence the multiple performance optimizations of PCB drilling parameters using grey relational analysis based Taguchi method is proven to be reliable and effective.

• Periodical: Key Engineering Materials (Volume 649)
• Pages: 104-111
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.649.104
• Online since: June 2015
• Authors: Teshome Mulatie Bogale, Fang Jung Shiou*, Geo Ry Tang
• Keywords: Grey Relational Analysis, Multiple Performance Optimizations, PCB Drilling Parameters, Taguchi Method

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