PARAMETRIC STUDY OF A CNC TURNING PROCESS USING DISCRIMINANT ANALYSIS

In the present day manufacturing scenario, computer numerical control (CNC) technology has evolved out as a cost effective process to perform repetitive, difficult and unsafe machining tasks while fulfilling dynamic requirements of high dimensional accuracy low surface finish. Adoption CNC would help an organization in achieving enhanced productivity, better product quality higher flexibility. this paper, endeavor is put forward apply discriminant analysis multivariate statistical tool investigate effects speed, feed, depth cut, nose radius type environment turning center on roughness, life, cutting force power consumption. Simultaneous discrimination develops corresponding function for each responses taking into account all input parameters together. On contrary, step-wise same functions considering only those significant influencing responses. Higher values hit ratio cross-validation percentage prove application both prediction tools performance considered operation.