Intelligent identification of turning process based on pattern recognition of cutting states

Journal of Materials Processing Technology

Volumn 192-193, Issue , 2007, Pages 491-496

  Tangjitsitcharoen, S ^a   Moriwaki, T ^b  

^a CHULALONGKORN UNIVERSITY   (Thailand)

^b KOBE UNIVERSITY   (Japan)

Author keywords

Broken chip; Chatter; Continuous chip; Dynamic cutting force; Pattern recognition; Turning

Indexed keywords

ALGORITHMS; COMPUTATION THEORY; FORCE MEASUREMENT; NUMERICAL CONTROL SYSTEMS; PARAMETER ESTIMATION; PATTERN RECOGNITION; CUTTING; TURNING;

BROKEN CHIP; CONTINUOUS CHIP; DYNAMIC CUTTING FORCE;

TURNING; CLUSTERING ALGORITHMS;

BROKEN CHIP; CHATTER; CONTINUOUS CHIP; CUTTING CONDITIONS; CUTTING EXPERIMENT; DYNAMIC CUTTING FORCES; INTELLIGENT IDENTIFICATION; PATTERN RECOGNITION TECHNIQUES;

EID: 34547644430     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmatprotec.2007.04.043     Document Type: Article

References (22)

1. Moriwaki T., Shibasaka T., and Somkiat T. Development of in-process chip-breaking detection system in turning, memoirs of graduate school of science and technology (2004), Kobe University, No. 22-A pp. 1-19
2. Andreasen J.L., and Chiffre L.D. Automatic chip-breaking detection in turning by frequency analysis of cutting force. Ann. CIRP 42 1 (1993) 45-48
3. Grzesik W., and Bernat P. An investigation of the cutting process for chip breaking monitoring in turning of steels. Trans. ASME J. Manufact. Sci. Eng. 120 3 (1998) 555-562
4. Sawai S., and Inasaki I. Identification of chip form in turning process. Int. J. Japan Soc. Mech. Eng. 34 4 (1991) 553-560
5. Jawahir I.S., and Luttervelt C.A. Recent developments in chip control research and applications. Ann. CIRP 42 2 (1993) 659-685
6. Clancy B.E., and Shin Y.C. A comprehensive chatter prediction model for face turning operation including tool wear effect. Int. J. Mach. Tools Manufacture 42 (2002) 1035-1044
7. Sisson T.R., and Kegg R.L. An explanation of low-speed chatter effects. Trans. ASME J. Eng. Ind. 91 (1969) 951-958
8. Lee B.Y., Tarng Y.S., and Ma S.C. Modeling of the process damping force in chatter vibration. Int. J. Mach. Tools Manufacture 35 7 (1995) 951-962
9. Liao Y.S., and Young Y.C. A new on-line spindle speed regulation strategy for chatter control. Int. J. Mach. Tools Manufacture 36 5 (1996) 651-660
10. Chiou Y.S., Chung E.S., and Liang S.Y. Analysis of tool wear effect on chatter stability in turning. Int. J. Mech. Sci. 37 4 (1995) 391-404
11. Altintas Y., and Weck M. Chatter stability of metal cutting and grinding. Ann. CIRP 53 2 (2004) 619-642
12. Altintas Y., and Chan P.K. In-process detection and suppression of chatter in milling. Int. J. Mach. Tools Manufacture 32 3 (1992) 329-347
13. Rahman M. In-process detection of chatter threshold. Trans. ASME J. Eng. Ind. 110 (1988) 44-50
14. Smith S., and Tlusty J. Stabilizing chatter by automatic spindle speed regulation. Ann. CIRP 41 1 (1992) 433-436
15. Hino J., Su C., and Yoshimura T. A study on chatter prediction in high-speed end milling process by fuzzy neural network. Int. J. Japan Soc. Mech. Eng. Series C 47 3 (2001) 825-831
16. Matsushima K., and Sata T. On-line control of the cutting state by the pattern recognition technique. Ann. CIRP 23 1 (1974) 151-152
17. Sata T., Matsushima K., Nagamura T., and Kono E. Learning and recognition of the cutting states by the spectrum analysis. Ann. CIRP 22 1 (1973) 41-42
18. Lee L.C., Lee K.S., and Gan C.S. On the correlation between dynamic cutting force and tool wear. Int. J. Mach. Tools Manufacture 29 3 (1989) 295-303
19. Moriwaki T., Somkiat T., and Shibasaka T. Intelligent monitoring and optimization of cutting process for CNC turning. Proceedings of the 14th International Conference on Flexible Automation and Intelligent Manufacturing (2004), Toronto, Canada 82-89
20. Moriwaki T., and Mori Y. Sensor fusion for in-process identification of cutting process based on neural network approach. Proc. IMACS/SICE Int. Symp. on Robotics, Mechatronics and Manufacturing Systems (1992), Kobe, Japan 245-250
21. Ueda K., Miyamoto S., and Sugita T. An approach to adaptive control based on pattern recognition of cutting states. Proceedings of the 6th International Conference on Production Engineering. Osaka (1987) 212-217
22. Tlusty G. Manufacturing process and equipment vol. 07458 (2000), Prentice-Hall, Inc., Upper Saddle River, NJ