Autoregressive Spectrum Analysis of Vibration and Condition Monitoring of Self-Propelled Rotary Tool
Self-propelled rotary tools are being rediscovered for their applications in machining of ‘difficult-to-machine’ materials or for general improvement in the productivity of machining operations. The vibration characteristic and the occurrence of chatter during high speed cutting will induce the deterioration of precision and machining surface, tool wear and tool life. This paper deals with the identification of the vibration in SPRT cutting system with AR time series model. The experiment and deduction method provide a sound foundation for improving the structure with high antivibration strength, which could reduce the relative vibration between tool and workpiece in the alloweable scope.
Dongming Guo, Tsunemoto Kuriyagawa, Jun Wang and Jun’ichi Tamaki
W. S. Hao et al., "Autoregressive Spectrum Analysis of Vibration and Condition Monitoring of Self-Propelled Rotary Tool", Key Engineering Materials, Vol. 329, pp. 743-748, 2007