Selection of Multi-point Diamond Dresser for Grinding Process Using Grey Relation Analysis

Abstract

In engineering manufacturing industries, cylindrical grinding process is extensively used for finishing the end product. Nowadays, due to competitive manufacturing environment, these industries are facing a problem of creating world-class products with least manufacturing cost and power requirements. In this work, the optimal process parameters values of cylindrical plunge grinding process are obtained for grinding feed rate, dressing cross feed rate and dressing depth of cut using three different types of multi-point diamond dressers, like needle blade with natural diamond, monocrystalline diamond dresser and chemical vapor deposition dresser using Taguchi-based grey relational analysis. Taguchi’s L9 orthogonal array was used to conduct experiments on CNC angular head grinding machine, and responses like surface finish, grinding ratio and power for grinding cycle were considered. Based on the Taguchi’s grey relational analysis, the optimum levels of grinding parameters were found and significant contribution of these parameters are determined using ANOVA. The optimum levels of the grinding parameters were found out and validated.