E. Emel Acoustic Emission Monitoring of the Cutting Process-Negating the Influence of Varying Conditions

Introduction A principal setback to cutting tool monitoring using indirect sensors such as forces and acoustic emission is the dependence of the output signal on the cutting conditions. Previous studies have indicated that AE power spectral response of the machining process provides valuable information on tool condition monitoring Results of the experiments are used to establish a relationship between the process variables and the acoustic emission signal spectra. The relationship, based on the Taylor series of a function, is further used as a filter and found useful in nullifying the influence of process variables for the purpose of proces