OPTIMIZATION OF VARIOUS DRILLING MACHINE PARAMETERS USING GREY RELATION METHOD AND ANOVA APPROACH

Abstract

This paper is related to the vibrations in the drilling operations where as the processor parameters are optimized using grey relational analysis and Anova approach. The parameters which effect vibrations are Drill Diameter, Speed and Feed Rate which is related to the performance characteristics. A grey relational grade obtained from the grey relational analysis is used to optimize the process parameters. Optimal process parameters can then be determined by the Taguchi method using the grey relational grade as the performance index. Using these different characteristics, the parameters, including speed, drill diameter, and feed rate are optimized. The Results show the parameter drill diameter and feed rate of drilling has most significant effect on the vibrations.