In-process surface roughness recognition (ISRR) system in end-milling operations

International Journal of Advanced Manufacturing Technology

Volumn 15, Issue 3, 1999, Pages 200-209

  Lou, S J ^a   Chen, J C ^a  

^a IOWA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCELEROMETERS; COMPUTER AIDED DESIGN; DATA REDUCTION; FUZZY SETS; MACHINE VIBRATIONS; MATHEMATICAL MODELS; MILLING (MACHINING); NEURAL NETWORKS; PARAMETER ESTIMATION; SURFACE ROUGHNESS;

IN-PROCESS SURFACE ROUGHNESS RECOGNITION (ISRR) SYSTEMS;

COMPUTER INTEGRATED MANUFACTURING;

EID: 0032652321     PISSN: 02683768     EISSN: None     Source Type: Journal    
DOI: 10.1007/s001700050057     Document Type: Article

References (21)

1. I. O. Pandelidis, "Machine diagnostics", in A. Kusiak (ed.), Intelligent Design and Manufacturing, Wiley, New York, pp. 523-543, 1992.
2. G. Boothroyd and W. A. Knight, Fundamental of Machining and Machine Tools, 2nd edn, Marcel Dekker, New York, 1989.
3. S. T. Coker and Y. C. Shin, "In-process control of surface roughness due to tool wear using a new ultrasonic system", International Journal of Machine Tools Manufacturing, 36(3), pp. 411-422, 1996.
4. K. Mitsui, "In-process sensors for surface roughness and their applications", Precision Engineering, 8, pp. 212-220, 1986.
5. K. H. Goh, N. Phillips and R. Bell, "The applicability of a laser triangulation probe to non-contacting inspection", International Journal of Production Research, 24(6), pp. 1331-1348, 1986.
6. S. Uchida, H. Sato and M. H-hori, "Two dimensional measurement of surface roughness by the light sectioning method", Annals CIRP, 28(1), pp. 419-423, 1979.
7. F. Luk, V. M. Huynh, and W. North, "Measurement of surface roughness by a machine vision system", Journal of Physics and Scientific Instruments, 22, pp. 977-980, 1989.
8. E. Marx and T. V. Vorburger, "Direct and inverse problems for light scattered by rough surfaces", Applied Optical, 29, pp. 3613-3626, 1990.
9. V. M. Huynh and Y. Fan, "Surface-texture measurement and characterization with applications to machine-tool monitoring", International Journal of Advanced Manufacturing Technology, 7, pp. 2-10, 1992.
10. J. I. Garbili, S. P. Koh, J. E. Jorgensen and M. Ramulu, "Surface profile measurement during turning using fringe-field capacitive profilometry", ASME, Journal of Dynamic Systems, Measurement, and Control, 114, pp. 234-243, 1992.
11. Y. C. Shin, S. J. Oh and S. C. Coker, "Surface roughness measurement by ultrasonic sensing for in-process monitoring", Transactions ASME Journal of Engineering for Industry, 117, pp. 439-447, 1995.
12. T. G. Beckwith, R. D. Marangoni and J. H. Lienhard V, Mechanical Measurements, 5th edn, Addison-Wesley, Reading, MA, 1993.
13. J. W. Dally, W. F. Riley and K. G. McConnell, Instrumentation for Engineering Measurements, 2nd edn, John Wiley, New York, 1993.
14. J. S. Anderson and M. Bratos-Anderson, Solving Problems in Vibrations, Lonsman, 1987.
15. C. T. Lin and C. S. Lee, Neural Fuzzy Systems, Prentice Hall, Upper Saddle River, NJ, 1996.
16. L. A. Zadeh, "Towards a theory of fuzzy systems", in R. Kalman and N. DeClaris (ed.) Aspects of Network and Systems Theory, Holt, Rinehart & Winston, New York, pp. 469-490, 1971.
17. L. X. Wang, Adaptive Fuzzy Systems and Control, Prentice Hall, Englewood Cliffs, NJ, 1994.
18. J. C. Chen, "A fuzzy-nets tool-breakage detection system for end-milling operation", Internatonal Journal of Advanced Manufacturing Technology, 12, pp. 153-164, 1996.
19. B. Kosko, "Fuzzy systems as universal approximators", Proceedings IEEE International Conference on Fuzzy Systems, pp. 1153-1162, San Diego, 1992.
20. S. Abe and M. S. Lan, "A method for fuzzy rules extraction directly from numerical data and its application to pattern classification", IEEE Transactions on Fuzzy Systems, 3(1), pp. 18-28, 1995.
21. L. O. Hall and P. Lande, "Generating fuzzy rules from data", Proceedings IEEE International Conference on Fuzzy Systems, pp. 1757-1762, 1996.