The Identification of Vibration Characteristics for Hardened Steel Based on Wavelet Energy Spectrum in High-Speed Milling

Abstract:

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A method to identify the effect of tool overhang on vibration signal is put forward to study machining process of large hardened steel automobile mold by wavelet energy spectrum. Firstly, collect the machinery vibration signal on milling by displacement sensor, then make a wavelet transform on time signal and calculate the wavelet energy spectrum of each frequency range. Finally, extract energy value of the right frequency by the method of homogenization. It is confirmed by experimental data that this method can recognize vibration feature and abnormal condition of cutting tool in high speed milling process of hardened steel fleetly and efficiently.

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Edited by:

Chengyong Wang, Ning He, Ming Chen and Chuanzhen Huang

Pages:

162-165

DOI:

10.4028/www.scientific.net/AMR.188.162

Citation:

Y. X. Wang et al., "The Identification of Vibration Characteristics for Hardened Steel Based on Wavelet Energy Spectrum in High-Speed Milling", Advanced Materials Research, Vol. 188, pp. 162-165, 2011

Online since:

March 2011

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$35.00

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