Workpiece dynamic analysis and prediction during chatter of turning process

Mechanical Systems and Signal Processing

Volumn 22, Issue 6, 2008, Pages 1481-1494

  Cardi, Adam A ^a   Firpi, Hiram A ^a   Bement, Matthew T ^b   Liang, Steven Y ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b LOS ALAMOS NATIONAL LABORATORY   (United States)

Author keywords

Chatter; Dynamic instability; Machining; Vibrations

Indexed keywords

DATA STRUCTURES; GEOMETRY; MACHINE DESIGN; MACHINE TOOLS; NEURAL NETWORKS; TURNING; VIBRATIONS (MECHANICAL);

DYNAMIC INSTABILITY; MACHINE TOOL STRUCTURE;

PROBLEM SOLVING;

EID: 44649083037     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2007.11.026     Document Type: Article

References (34)

1. Arnold L. The mechanism of tool vibration in the cutting of steel. Proceedings of the Institution of Mechanical Engineers 154 (1945) 261-276
2. Gurney J.P., and Tobias S.A. A graphical analysis of regenerative machine tool instability. Transactions of the ASME Journal for Engineering Industry (1962) 103-112
3. Tlusty J.A. A method of analysis of machine tool stability. International Journal of Machine Design and Research 6 (1965) 5-14
4. Tobias S.A. Machine Tool Vibration (1965), Blackie and Sons Ltd., London, UK
5. Tobias S.A., and Fishwick W. The chatter of lathe tools under orthogonal cutting conditions. Transactions of the American Society of Mechanical Engineers 80 (1958) 1079-1088
6. Deshpande N., and Fofana M.S. Nonlinear regenerative chatter in turning. Robotics and Computer Integrated Manufacturing 17 (2001) 107-112
7. Hanna N.H., and Tobias S.A. A theory of nonlinear regenerative chatter. Transactions of the ASME Journal of Engineering for Industry 96 (1974) 247-255
8. Wu D.W., and Liu C.R. An analytical model of cutting dynamics, Part 1: Model building. Transactions of the ASME Journal of Engineering for Industry 107 (1985) 107-111
9. G. Stepan, T. Kalmar-Nagy, Nonlinear regenerative machine tool vibrations, in: Proceedings of 16th ASME Biennial Conference on Mechanical Vibrations and Noise, 1997, pp. 1-11.
10. Rao B.C., and Shin Y.C. A comprehensive dynamic cutting force model for chatter prediction in turning. International Journal of Machine Tools and Manufacture 39 (1999) 1631-1654
11. Chiou R.Y., and Liang S.Y. Chatter stability of a slender cutting tool in turning with tool wear effect. International Journal of Machine Tools and Manufacture 38 (1998) 315-327
12. Chandiranai N.K., and Pothala T. Dynamics of 2-dof regenerative chatter during turning. Journal of Sound and Vibration 290 (2006) 448-464
13. Chen C.K., and Tsao. A stability analysis of turning a tailstock supported flexible work-piece. International Journal of Machine Tools and Manufacture 46 (2006) 18-25
14. Rahman M. In-process detection of chatter threshold. Transactions of the ASME Journal of Engineering for Industry 110 (1988) 44-50
15. Tlusty J., and Andrews G. A critical review of sensors for unmanned machining. Annals of the CIRP 32 2 (1983) 563-571
16. Braun S. Signal processing for the determination of chatter threshold. Annals of the CIRP 24 1 (1975) 315-320
17. Delio T., Tlusty J., and Smith S. Use of audio signals for chatter detection and control. Transactions of the ASME Journal of Engineering for Industry 114 (1992) 146-157
18. Gradisek J., Govekar E., and Grabec I. Time series analysis in cutting: chatter versus chatter-free cutting. Mechanical Systems and Signal Processing 12 (1998) 839-854
19. Gradisek J., Govekar E., and Grabec I. Using coarse grained entropy rate to detect chatter in cutting. Journal of Sound and Vibration 214 (1998) 941-952
20. Tarng Y.S., Kao J.Y., and Lee E.C. Chatter suppression in turning operations with a tuned vibration absorber. Journal of Materials Processing Technology 105 (2000) 55-60
21. Lin S.C., and Hu M.R. Low vibration control system in turning. International Journal of Machine Tools and Manufacture 32 5 (1992) 629-640
22. Mei Z., Yang S., Shi H., Chang S., and Ehmann K.F. Active chatter suppression by on-line variation of the rake and clearance angles in turning-principles and experimental investigations. International Journal of Machine Tools and Manufacture 34 7 (1994) 981-990
23. Oppenheim A.V., and Schafer R.W. Discrete-Time Signal Processing (1999), Prentice-Hall, Upper Saddle River, NJ
24. Boashash B. Estimating and interpreting the instantaneous frequency of a signal-Part I: Fundamentals. Proceedings of the IEEE 80 4 (1992) 520-538
25. Zhang G.M., and Kapoor S.G. Dynamic generation of machined surfaces, Part 1: Description of a random excitation system. Journal of Engineering for Industry 113 (1991) 137-144
26. Haykin S. Neural Networks: A Comprehensive Foundation. second ed. (1999), Prentice-Hall, Upper Saddle River, NJ
27. Hornik K., Stinchcombe M., and White H. Multilayer feedforward networks are universal approximators. Neural Networks 2 5 (1989) 359-366
28. Chen T., and Chen H. Universal approximation to nonlinear operators by neural networks with arbitrary activation functions and its application to dynamical systems. IEEE Transactions Neural Networks 6 4 (1995) 911-917
29. J. Kennedy, R.C. Eberhart, Particle swarm optimization, Proceedings of IEEE International Conference on Neural Networks 4 (1995) 1942-1948.
30. R.C. Eberhart, J. Kennedy, A new optimizer using particle swarm theory, in: Proceedings of the Sixth International Symposium on Micro Machine Human Science, 1995, pp. 39-43.
31. Kennedy J., and Eberhart R.C. Swarm Intelligence (2001), Morgan Kaufmann Publishers, San Francisco, CA
32. Y. Shi, R.C. Eberhart, Parameter selection in particle swarm optimization, Evolutionary Programming VII: Proceedings of EP (1998) 591-600.
33. R.C. Eberhart, Y. Shi, Comparing inertia weights and constriction factors in particle swarm optimization, Proceedings of the IEEE Conference on Evolutionary Computation 1(1) (2000) 84-88.
34. J. Kennedy, Small worlds and mega-minds: the effects of neighborhood topology on particle swarm performance, Proceedings of the IEEE Conference on Evolutionary Computation 3(3) (1999) 1931-1938.