Analysis of the milling acoustic signal using wavelet decomposition

Vibration has a great influence on the cutting process and it can be detected by many signals. In this work, a set of experiments are conducted on Mikron UCP810 DURO high speed milling center with Fraisa carbide end mill for milling 2A12 aluminum workpiece, an acoustic method is used to detect the milling signals. The captured sound signals are analyzed using Matlab Daubechies5 wavelets with six levels of decomposition, the detail and approximation of the sound signal components are obtained. The analysis results demonstrate the relationship between the signal and the vibration. © 2016 Trans Tech Publications, Switzerland.