Why is it hard to identify the onset of chatter? A stochastic resonance perspective |
| |
Authors: | Daniel Bachrathy Henrik T. Sykora David Hajdu Bence Beri Gabor Stepan |
| |
Affiliation: | 1. MTA-BME Lendület Machine Tool Vibration Research Group, Department of Applied Mechanics, Budapest University of Technology and Economics, Budapest, Hungary;2. Department of Applied Mechanics, Budapest University of Technology and Economics, Budapest, Hungary;3. MTA-BME Research Group on Dynamics of Machines and Vehicles, Budapest, Hungary |
| |
Abstract: | A stochastic dynamical model is presented to identify the difficulties in chatter detection during cutting processes. The theoretical implications are based on measurements related to the stochastic character of the cutting force. The stochastic model is validated in a Hardware-In-the-Loop (HIL) environment where the multiplicative component of the stochastic cutting force is varied parametrically. In case of an industrial machine tool, the stochastic resonance effect is also demonstrated quantitatively by means of high-resolution vibration measurements for various spindle speeds in full immersion milling. The proposed method predicts the noise induced peaks in the spectrum of the vibration signals, which occur already within the chatter-free parameter domains and might be misjudged as chatter. |
| |
Keywords: | |
本文献已被 ScienceDirect 等数据库收录! |
|