Determination of the Anti-Chatter Weak Component on a Machine Tool

Article Preview

Abstract:

The processing stability of machine tool system is studied in this work. In terms of the mass distribution and the need of sufficient energy to keep chatter, it is most possible that the chatter will occur on the final executive component of a machine tool. Based on it, the machine system may be simplified as a regenerative chatter model with double elastic bodies. This new model can adapt to improvement of component structure well. When there is a big difference between the receptances of two elastic bodies, the one with bigger receptance should become the active body of chatter, namely it is the weak one of the system. When the receptances of two elastic bodies are close, then the structure of two bodies should be optimized.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 97-101)

Pages:

1867-1870

Citation:

Online since:

March 2010

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2010 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] A. Erturk, H.N. Ozguven and E. Budak: Analytical modeling of spindle-tool dynamics on machine tools using Timoshenko beam model and receptance coupling for the prediction of tool point FRF. Journal of Materials Processing Technology, 2006, 46: 1901-(1912).

DOI: 10.1016/j.ijmachtools.2006.01.032

Google Scholar

[2] K. Yoshitata, K. Osame and S. Hisaysshi: Behavior of self-excited chatter due to multiple regenerative effect. Journal of Engineering for Industry, 1981, 103: 324-329.

DOI: 10.1115/1.3184492

Google Scholar

[3] R.A. Thompson: On the doubly regenerative stability of grinder: the effect of contact stiffness and wave filtering. Journal of Engineering for Industry, 1992, 114: 53-60.

DOI: 10.1115/1.2899758

Google Scholar

[4] J. Wang: Multiple-objective optimization of machining operations based on neural networks. International Journal of Advance Manufacturing Technologies, 1993, 8: 235-243.

Google Scholar

[5] M.S. Chua, M. Rahman and Y.S. Wong: Determination of optimal conditions using design of experiments and optimization techniques. International Journal of Machine Tools and Manufacture, 1993, 33 (2): 297-305.

DOI: 10.1016/0890-6955(93)90081-5

Google Scholar

[6] J.H. Wang, C.M. Liou: Experimental identification of mechanical joint parameters. Journal of Vibration and Acoustics, 1991, 113: 28-36.

DOI: 10.1115/1.2930151

Google Scholar

[7] J. H. Wang, K.N. Lee: Suppression of chatter vibration of a CNC machine center-an example. Mechanical Systems and Signal Processing, 1995, 10(5): 551-560.

DOI: 10.1006/mssp.1996.0038

Google Scholar

[8] F.R. Zhang, X.G. Yan: Mechanical manufacturing technology. Wuhang: Huzhong University of Science and Technology Press, 1998: 106-117. In Chinese.

Google Scholar