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Autoregressive Spectrum Analysis of Vibration and Condition Monitoring of Self-Propelled Rotary Tool

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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.

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Periodical:

Key Engineering Materials (Volume 329)

Pages:

743-748

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.329.743

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Online since:

January 2007

Authors:

Wangs Shen Hao, Xun Sheng Zhu, Biao Jun Tian, M.R. Chi

Keywords:

Autoregressive Spectral Analysis, Real-Time Monitor, Self-Propelled Rotary Tool Cutting System, Vibration Frequencies

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© 2007 Trans Tech Publications Ltd. All Rights Reserved

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