OPTIMASI PARAMETER PROSES PEMESINAN TERHADAP KEAUSAN PAHAT DAN KEKASARAN PERMUKAAN BENDA HASIL PROSES CNC TURNING DENGAN MENGGUNAKAN METODE TAGUCHI

Abstract

Quality of product in machining process depends on geometry accuracy and surface roughness of the product. Tool wear has big influence to both of them. In this research, the effect of cutting speed, feed rate, depth of cut and cutting condition for machining ST 40 steel using cermets insert will be studied. The Taguchi method is used to analyze the most significant influence of machining parameters and the optimum condition of machining process will be reported. From the analysis of variance (ANOVA) it is known that the feed rate has the biggest influence on surface roughness and tool wear. The optimum condition of machining parameters for surface roughness achieved by medium cutting speed, low feed rate, low depth of cut, and using oil as coolant. The prediction of surface roughness and confirmation experiment is 0.75 ±0.19 µm and 1.15±0.26 µm. Meanwhile, for tool wear achieved by low cutting speed, low feed rate, low depth of cut and using dromus as coolant. The prediction of tool wear and confirmation experiment is 3±2 µm and 7±2 µm.