Time Domain Simulation of Milling Chatter Stability

Article Preview

Abstract:

In this paper, time domain simulation has been carried out to study the chatter stability of milling process. Dynamic chip thickness is calculated by analyzing the kinematics of the cutter, and thus dynamic governing equation revealing the dynamic behaviors between the cutter and workpiece is established. Solving framework is constructed by using the Simulink module and S-Function of Matlab software, and dynamic deflection is achieved with the four-order Runge-Kutta algorithm. With the simulated cutting forces, a criterion for the construction of the stability lobe is suggested. At the same time, algorithm for the prediction of the surface topography involving the dynamic response of the machining system is developed.

You might also be interested in these eBooks

Info:

Periodical:

Materials Science Forum (Volumes 836-837)

Pages:

94-98

Citation:

Online since:

January 2016

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2016 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] S.A. Tobias, Machine Tool Vibration, Blackie and Sons Ltd, New York, (1965).

Google Scholar

[2] F. Koenigsbenger, J. Tlusty, Stability against chatter. Mach. tool struct. 1(1967).

Google Scholar

[3] H.E. Merrit, Theory of self-excited machine tool chatter. ASME J. Eng. Ind. 87 (1965) 447-454.

Google Scholar

[4] Y. Altintas, E. Budak, Analytical prediction of stability lobes in milling. Annals. CIRP 44 (1995) 357-362.

DOI: 10.1016/s0007-8506(07)62342-7

Google Scholar

[5] S.D. Merdol, Y. Altintas, Multi frequency solution of chatter stability for low immersion milling. ASME J. Manuf. Sci. Eng. 126 (2004)459-466.

DOI: 10.1115/1.1765139

Google Scholar

[6] M. Campomanes, Y. Altintas, An Improved Time Domain Simulation for Dynamic Milling at Small Radial Immersions, ASME J. Manuf. Sci. Eng. 125(2003)416-422.

DOI: 10.1115/1.1580852

Google Scholar

[7] T. Insperger, G. Stepan, Updated semi-discretization method for periodic delay-differential equations with discrete delay. Int. J. Num. Meth. Eng. 61 (2004)117-141.

DOI: 10.1002/nme.1061

Google Scholar

[8] B.P. Mann, P.V. Bayly, M.A. Davies, J.E. Halley Limit cycles, bifurcations, and accuracy of the milling process. J. Sound Vib. 277(2004) 31-48.

DOI: 10.1016/j.jsv.2003.08.040

Google Scholar

[9] J.H. Ko, Y. Altintas, Time domain model of plunge milling operation. Int. J. Mach. Tools Manuf. 47(2007)1351-1361.

DOI: 10.1016/j.ijmachtools.2006.08.007

Google Scholar

[10] M. Wan, W.H. Zhang, J.W. Dang, Y. Yang, A unified stability prediction method for milling process with multiplt delays. Int. J. Mach. Tools. Manuf. 50 (2010)29-41.

DOI: 10.1016/j.ijmachtools.2009.09.009

Google Scholar