Determination of True Cutting Signal by Separation of Instrumentation Dynamics From Measured Response

Abstract

The Dynamic Data System (DDS) methodology is used for the separation of the cutting signal from the dynamics of a dynamometer. A sixth order continuous Autoregressive Moving Average model is fitted to a milling machine’s cutting force signals. The dynamics of the dynamometer are separated as a second order model and the true milling signals are constructed using the resultant parameters of a fourth order model. It is shown that with the constructed signal, an explanation of the pertinent characteristics such as the location errors in the cutter insert may be obtained. The technique to separate the dynamics of the instrument from the cutting signal can be used for the dynamic calibration of the instrumentation.