Analysis for Reduction of Tool Wear Rate of CNC Turning for B 4 C Tool

Authors

Animesh Sarkar, Apurba Biswas, Nayan Saha, Ramprosad Dey, SK.Hikmat, Bidyut Karmakar, Rakesh Biswas, Papai Bairagya, B.Mallick, corresponding author
ME DEPARTMENT, GLOBAL INSTITUTE OF MANAGEMENT & TECHNOLOGY, KRISHNANAGAR, WEST BENGAL, INDIA.
Anil Kumar Panja
ME DEPARTMENT, BRAINWARE UNIVERESITY, BARASAT, WEST BENGAL, INDIA.
Shishir Kumar Biswas
ME DEPARTMENT, JIS COLLEGE OF ENGINEERING, KALYANI, WEST BENGAL, INDIA.

Abstract

CNC is now a day’s plays a vital role in industry. This papers deals with the parametric effects such as spindle speed (1500-2100 rpm) (N) (X1), depth of cut (DOC) (.15-.55 mm) (X2) and feed rate (f) (30-50 mm/min) (X3) on machining characteristics of tool wear rate (TWR) during fabrication of IS-617 Aluminum miniature component by advanced CNC lathe using Boron-carbide tool. The article analyzes the second-order mathematical model development with co-relation of co-efficient of regression and analysis of variances (ANOVA) using desirability function analysis (RSM) during the production of the miniature segment. The article also consists of single objective optimization for achieving the optimal parametric combination for minimum tool wear rate for this manufacturing operation. The project also shows the fabricated micro-product of Aluminum at the optimal parametric conditions using CNC programming.