An adaptive control simulation approach based on a mathematical model optimization algorithm for rough turning

Kuwait Journal of Science and Engineering

Volumn 30, Issue 2, 2003, Pages 213-234

  Oraby, S E ^a   Almeshaiei, E A ^a   Alaskari, A ^a  

^a The Public Authority for Applied Education and Training   (Kuwait)

Author keywords

Adaptive control for machine tools; Cutting forces; Metal removal rate; Time varying non liner mathematical models; Tool wear and wear rate

Indexed keywords

COMPUTER SOFTWARE; CUTTING; FRICTION; MACHINE TOOLS; MATHEMATICAL MODELS; OPTIMIZATION; WEAR OF MATERIALS;

COMPUTER NUMERICAL CONTROLLED (CNC) SYSTEMS; CUTTING FORCES; FLEXIBLE MANUFACTURING SYSTEMS (FMS); METAL REMOVAL RATE; TOOL WEAR AND WEAR RATE;

ADAPTIVE CONTROL SYSTEMS;

EID: 1642454804     PISSN: 10248684     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (22)

1. Bedini, R., Lisini, G. G., and Pinotti, P. C. 1976. Experiments on adaptive control of a milling machine. Trans ASME, Journal of Engineering for Industry: 239-245.
2. Bedinit, R. & Pinoti, P. C. 1982. Experiments on adaptive constrained control of a CNC lathe. Trans ASME, Journal of Engineering for Industry. 104: 139-149.
3. Bedini, R., Pinoti, P. C. and Presciuttini, G. 1977. Adaptive control in drilling. International Journal. MTDR 17: 91-102.
4. Buckner G. D. 2001. Intelligent sliding mode control of cutting force during single-point turning operations. Trans ASME, Journal of Manufacture Science and Engineering. 123(2): 206-213.
5. Chen S., Chou J., and Li, J. 2002. Optimal grey-fuzzy controller design for a constant turning force system. International Journal of Machine Tools and Manufacturing. 42(3): 343-353.
6. Chiang S., Liu, D., Lee A. and Chieng, W. 1995. Adaptive control optimization in end milling using neural networks. International Journal of Machine Tools and Manufacturing. 35(4): 637-660.
7. Choudhury, V. K. Jain & S. Rama Krishna 2001. On-line monitoring of tool wear and control of dimensional inaccuracy in turning. Trans ASME. Journal of Manufacturing Science and Engineering. 123(1): 10-12.
8. Coker S. & Yung C. 1996. In-process control of surface roughness due to tool wear using a new ultrasonic system. International Journal of Machine Tools and Manufacturing. 36(3): 411-422.
9. Cowan R. W., Schertz D. J., and Kurfess T. R. Aug. 2001. An adaptive statistically controller for through-feed centerless grinding. Trans ASME, Journal of Manufacturing Science and Engineering. 123(3): 380-386.
10. Flex Expert System ToolKit 1996. Reference Manual, Edition 4, Logic Programming Associates Ltd (www.lpa.co.uk).
11. Kee, P. K. 1996. Development of constrained optimization analyses and strategies for multi-pass rough turning operations. International Journal of Machine Tools and Manufacturing. 36(1): 115-127.
12. Kelly, M. & Toncich, D. 2000. Overcoming encoder quantisation noise in an adaptive position controller. International Journal of Machine Tools and Manufacturing. 40(14): 2031-2046.
13. Koing, W., Altintas, Y. and Memis, F. 1995. Direct adaptive control of plunge grinding process using acoustic emission (AE) sensor. International Journal of Machine Tools and Manufacturing. 35(10): 1445-1457.
14. Liu, Y., Zuo, L. and Wang, C. 1999. Intelligent adaptive control in milling processes. International Journal of Computer Integrated Manufacturing. 12(5): 453-460.
15. rd Edition.
16. th conf. On Theoretical and Applied Mechanics, Academy of Scientific Research and Technology, Cairo.
17. Oraby, S. E. & Hayhurst, D. R. 1991. Development of models for tool wear force relationships in metal cutting. International Journal of Mechanical Science. 33(2): 125-138.
18. Porter, B., & Summers, R. D. M. J. 1968. The performance of the self-optimizing strategies in the adaptive control of the metal cutting process. Int. J. MTDR. 8(4): 217-237.
19. Stein, J. L. & Huh, K. 2002. Monitoring cutting forces in turning: a model-based approach. Trans ASME, Journal of Manufacturing Science and Engineering. 124(1): 26-31.
20. Tae-Yang, K. & Jangwon, K. 1996. Adaptive cutting force control for a machining center by using indirect cutting force measurements. International Journal of Machine Tools and Manufacturing. 36(8): 925-937.
21. Yang, M. & Lee, T. 2002. Hybrid adaptive control based on the characteristics of CNC end milling. International Journal of Machine Tools and Manufacturing. 42(4): 489-499.
22. Yen, D. W. & Wright, P. K. 1983. Adaptive control in machining - A new approach based on the physical constraints of tool wear mechanisms. Trans ASME, Journal of Engineering for Industry. 105: 31-38.