Paper Title:
Autoregressive Spectrum Analysis of Vibration and Condition Monitoring of Self-Propelled Rotary Tool
  Abstract

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.

  Info
Periodical
Edited by
Dongming Guo, Tsunemoto Kuriyagawa, Jun Wang and Jun’ichi Tamaki
Pages
743-748
DOI
10.4028/www.scientific.net/KEM.329.743
Citation
W. S. Hao, X. S. Zhu, B. J. Tian, M.R. Chi, "Autoregressive Spectrum Analysis of Vibration and Condition Monitoring of Self-Propelled Rotary Tool", Key Engineering Materials, Vol. 329, pp. 743-748, 2007
Online since
January 2007
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