Modelling and experimental investigation of spindle and cutter dynamics for a high-precision machining center

International Journal of Advanced Manufacturing Technology

Volumn 24, Issue 11-12, 2004, Pages 806-815

  Rehorn, Adam G ^a   Jiang, Jin ^a   Orban, Peter E ^b   Bordatchev, Evgueni ^b  

^a UNIVERSITY OF WESTERN ONTARIO   (Canada)

^b NATIONAL RESEARCH COUNCIL CANADA   (Canada)

Author keywords

Cutting simulation; Impact testing; Machine tool dynamics; Modal analysis; Signal processing

Indexed keywords

COMPUTER SIMULATION; CUTTING; DYNAMICS; IMPACT TESTING; MACHINE TOOLS; MANUFACTURE; SIGNAL PROCESSING;

CUTTER DYNAMICS; CUTTING SIMULATION; WORKPIECE-TOOL INTERACTIONS;

MACHINING;

EID: 10844245618     PISSN: 02683768     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00170-003-1794-8     Document Type: Article

References (32)

1. Altintas Y (2000) Manufacturing automation: metal cutting mechanics machine tool vibrations, and CNC design. Cambridge University Press, New York
2. Altintas Y, Lee P (1998) Mechanics and dynamics of ball end milling. Trans ASME 120:684-692
3. Altintas Y, Lee P (1996) A general mechanics and dynamics model for helical end mills. Ann CIRP 45:59-64
4. Altintas Y, Lee P (1995) Combined mechanics and dynamics of ball end milling. Presented at the 1995 ASME international mechanical engineering congress and exposition, pp 657-677
5. Byrne G, Dornfeld D, Inasaki I, Ketteler G, Konig W, and Teti R (1995) Tool condition monitoring (TCM) - the status of research and industrial application. Ann CIRP 44:541-567
6. Ehman KF, Kapoor SG, De Vor RE, Lazoglu I (1997) Machining process modeling: a review. ASME J Manuf Sci Eng 119:655-663
7. Eisenmann RC, Eisenmann Jr RC. (1998) Machinery malfunction, diagnosis and correction. Prentice Hall, Englewood Cliffs, NJ
8. Peklenik J, Jerele A (1992) Some basic relationships for identification of the machining process. Ann CIRP 41:155-159
9. Rao B (1997) Metal cutting machine tool design - a review. J Manuf Sci Eng 119:713-716
10. Barer Engineering Co. (1994) Proteo model D/94 operating and maintenance manual
11. Rehorn AG, Orban PE, Bordatchev EV (2001) The first step towards intelligent machining: modeling of machine tool dynamics for TCM and control, intelligent machines - working for you today, MMO workshop, London, Ontario, Canada, 15 March 2001
12. Rehorn AG (2001) Spindle dynamics: identification, modelling and effects. Master's of Engineering Science Thesis, University of Western Ontario
13. Van Luttervelt CA, Childs TH, Jawahir IS, Klocke F, Venuvinod PK (1998) Present situation and future trends in modelling of machining. Oper Ann CIRP 47:587-626
14. Merritt HE (1965) Theory of self-excited machine tool chatter: contribution to machine-tool chatter research. J Eng Indust 1:447-454
15. Kegg RL (1965) Theory of self-excited machine tool chatter: contribution to machine-tool chatter research. J Eng Indust 3:464-470
16. Minis IE, Magrab EB, Pandelidis IO (1990) Improved methods for the prediction of chatter in turning, part 1: determination of structural response parameters. Transa ASME 112:12-20
17. Minis IE, Magrab EB, Pandelidis IO (1990) Improved methods for the prediction of chatter in turning, part 2: determination of cutting process parameters. Trans ASME 112:21-27
18. Minis IE, Magrab EB, Pandelidis IO (1990) Improved methods for the prediction of chatter in turning, part 3: a generalized linear theory. Trans ASME 112:28-35
19. Tlusty J, Moriwaki T (1976) Experimental and computational identification of dynamic structural models. Ann CIRP 25(2):497-503
20. Bordatchev EV, Orban PE (1999) Machining process as a t of automatic control. In: Proceedings of SPIE, 3833, Boston, pp 59-68
21. Bordatchev EV (1996) Multifunctional monitoring of the lathe dynamic quality. Doctor of Technical Science Dissertation, Rostov-on-Don, Don State Technical University, (in Russian)
22. Zakovorotny VL, Bordatchev EV. (1995) Prediction and diagnostics of workpiece machining quality in machine tools, based on dynamic simulation. In: Proceedings of the 31st international MATADOR conference, pp 315-320
23. Zakovorotny VL, Bordatchev EV (1995) New approach for tool wear condition estimation based on information properties of dynamic diagnostics in a turning operation, exploitation problems of machines. Polish Academy of Sciences, XXX, pp 695-712
24. Bordatchev EV, Henriksen R (1999) State space modelling of machine tool spindle units using subspace identification. In: Proceedings of the 2nd IASTED international conference on control and application, pp 11-16
25. Bordatchev EV (1998) Modeling and parameter identification of the impulse response matrix of mechanical systems. In: Proceedings of SPIE, 3518, pp 106-117
26. Bordatchev EV, Orban PE, and Reborn AG (2000) Experimental analysis and modelling of the dynamic performance of machine tool spindle-bearing systems. In: Proceedings of the SPIE engineering symposium on intelligent systems and advanced manufacturing, 4191, pp 92-103
27. Lauderbaugh Saunders LK (2000) Process dynamics models for the control of end milling. In: Proceedings of the American control conference. Chicago, 28-30 June 2000, pp 2563-2567
28. Tounsi N. Otho A (2000) Dynamic cutting force measurement. Int J Mach Tools and Manuf 40:1157-1170
29. Schaeffer RL, McClave JT (1995) Probability and statistics for engineers, 4th edn. Wadsworth Publishing Company, Belmont
30. Hewlett Packard (1997) The fundamentals of modal testing, application note 243-3
31. Martellotti ME (1941) An analysis of the milling process. Trans ASME 67(1):233-251
32. Fu P, Hope D, King GA (1998) Intelligent tool condition monitoring in milling operation. Southampton Systems Engineering Faculty