Experimental Study on Turning Vibration Responses of Cutting Tool Surface Based on the Self-Power Spectral Density

Qiang Zhang; Shun Cai Li; Ming Hui Shao; Wei Li

doi:10.4028/www.scientific.net/AMR.675.111

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 675Experimental Study on Turning Vibration Responses...

Experimental Study on Turning Vibration Responses of Cutting Tool Surface Based on the Self-Power Spectral Density

Abstract:

Abstract: By means of the analysis instrument of vibration signals and acceleration sensor, the vibration responses of the upper and lower surface of the cutting tool are tested in the turning process of the numerically controlled lathe under the different spindle speed, and the time series curves and the self-power spectral density curves of the acceleration vibration signals of the cutting tool are obtained. The study indicates that : the vibration energy corresponding to the upper surface of the tool is much larger than that of the lower surface, and the vibration frequency corresponding to maximum self- power spectrum density of the tool on upper surface is about 150Hz, but the vibration frequency of the lower surface has a big fluctuation.

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Periodical:

Advanced Materials Research (Volume 675)

Pages:

111-115

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.675.111

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Online since:

March 2013

Authors:

Qiang Zhang, Shun Cai Li, Ming Hui Shao, Wei Li

Keywords:

Self-Power Spectrum Density, Tool, Vibration Energy, Vibration Response

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References

[1] Lv M., Li M.: Cutting tool vibration signal research and wear condition identification. Machine Tool & Hydraulics, 40 ( 1), 65-71(2012)(in Chinese).

Google Scholar

[2] Wang X., Long l., Guo M. : Study on cutting tool sate monitoring technology based on the wavelet analysis of vibration signals, Journal of Nanchang Hangkong University ( Natural Sciences), 25 ( 3):,42-47(2011) (in Chinese).

Google Scholar

[3] Liu P. ,Wang J.: Vibration absorbing measures by improving cutting tool system stiffness, Mechanical Manufacture & Automatization,40(06),76-78(2011) (in Chinese).

Google Scholar

[4] S. K. CHOUDHURY, N. N. GOUDIMENKO and V. A. KUDINOV. On-line control of machine tool vibration in turning. Int. J. Mach, Tools Manufact. 37 ( 6), pp.801-811( 1997).

DOI: 10.1016/s0890-6955(96)00031-4

Google Scholar

[5] V.Ostasevicius, R.Gaidys, J.Rimkeviciene, R.Dauksevicius.An approach based on tool mode control forsurfaceroughness reduction in high-frequence vibration cutting. Journal of Sound and Vibration, 329(5), 4866-4879( 2010).

DOI: 10.1016/j.jsv.2010.05.028

Google Scholar