The Analysis Correlation of Tool Wear with Signal Frequency Domain During ST 60 Milling Process Using the Pearson Correlation Coefficient Method

Abstract

High Speed Steel Cutter (HSS) is widely used in milling processes to cut workpieces, one of them is ST 60. However, cutter weariness is a major problem that can affect the quality of milling and production costs. This is because a prolonged cutting process can cause gradual damage to the cutter's eye due to repeated friction between the cutters and the treated material. Therefore, the study aims to analyze the weariness of the HSS cutter during the ST 60 milling process by using a domain frequency vibration signal approach and periodic weight measurement of the cutter to monitor its weariness. The method to be performed in this study is to perform a milling operation on the ST 60 material using a HSS cutter as well as recording the vibration signal and measuring the cutter's weight at each experimental interval. The result of the vibration signal recording will be processed using Fourier transformation (FFT) to monitor vibration frequency changes that reflect cutter damage. It is hoped that this research will provide a deeper understanding of the mechanisms of HSS cutter depletion, thereby improving the quality of the result and optimizing the cutting conditions to slow the rate of the device.