Characterization of tool wear measurement with relation to the surface roughness in turning

Machining Science and Technology

Volumn 8, Issue 1, 2004, Pages 39-51

  Kwon, Yongjin ^a   Ertekin, Yalcin ^b,c   Tseng, Tzu Liang ^b  

^a DREXEL UNIVERSITY   (United States)

^b WESTERN KENTUCKY UNIVERSITY   (United States)

^c Tri State University   (United States)

Author keywords

Machine vision and image analysis; Surface roughness; Tool wear model

Indexed keywords

COMPUTER VISION; FITS AND TOLERANCES; IMAGE ANALYSIS; MATHEMATICAL MODELS; METAL CUTTING; PROCESS CONTROL; SURFACE ROUGHNESS; WEAR OF MATERIALS;

MACHINE VISION AND IMAGE ANALYSIS; MACHINING PARAMETERS; TOOL WEAR; WEAR PATTERNS;

MACHINE TOOLS;

EID: 3042582642     PISSN: 10910344     EISSN: None     Source Type: Journal    
DOI: 10.1081/MST-120034239     Document Type: Article

References (25)

1. Abu-Zahra, N. H., Yu, G. (2003). Gradual wear monitoring of turning inserts using wavelet analysis of ultra sonic waves. International Journal of Machine Tools and Manufacture 43:337-343.
2. Amarego, E. J. A., Brown, R. H. (1969). The Machining of Metals. Engelwood Cliffs, New Jersey: Prentice Hall.
3. Armerago, E. J. A. (May 1996). Predictive modeling of machine operations - a means of bridging the gap between theory and practice. CSME Forum SCGM, Manufacturing Science and Engineering. Canada: Hamilton.
4. Chen, Z., Wysk, R. A. (1992). Tool status recording and its use in probabilistic optimization. Journal of Engineering for Industry 114:494-499.
5. Danai, K., Ulsoy, A. G. (1987). A dynamic state model for on-line wear estimation in turning. Journal of Engineering for Industry 109:396-405.
6. DeVries, W. R. (1992). Analysis of Material Removal Processes. Verlag: Springer.
7. Fand, X., Safi-Jahanshahi, H. (1997). A new algorithm for developing a reference-based model for predicting surface roughness in finish machining of steels. International Journal of Production Research 35(1):179-199.
8. Fischer, G. W., Wei, Y., Dontamsetti, S. (1989). Optimization of multipass turning with constraints. Transaction of the ASME, Journal of Engineering for Industry 103:462-468.
9. International Standard. (1993). Tool-life Testing with Single-Point Turning Tools: ISO 3685. 2nd ed. Switzerland.
10. Jedrejewski, J., Kwasny, Y. (1998). An approach to integrating intelligent diagnostics and supervision of machine tools. Journal of Intelligent Manufacturing 4(9):295-302.
11. King, R. (1985). Handbook of High Speed Machining Technology. Chapman and Hall.
12. Koren, Y. (1978). Flank wear model of cutting tools using control theory. Transaction of the ASME, Journal of Engineering for Industry 100:103-109.
13. Leem, C., Dornfeld, D., Dreyfus, S. (1995). A customized neural network for sensor fusion in on-line monitoring of cutting tool wear. Journal of Engineering for Industry 117:152-158.
14. Malakooti, B., Zhou, Y., Tandler, E. (1995). In-process regressions and adaptive multi-criteria neural networks for monitoring and supervising machining operations. Journal of Intelligent Manufacturing 6:53-66.
15. (1997). Matrox Inspector. User Guide Version 2.1. Matrox Electronics Systems Ltd.
16. Matsumura, T., Obikawa, T., Shirakashi, T., Usui, E. (1993). Autonomous turning operation planning with adaptive prediction of tool wear and surface roughness. Journal of Manufacturing Systems 12:253-262.
17. Modern Metal Cutting. (1996). Sandvik Coromant.
18. Ramamurthi, K., Hough, C. (1993). Intelligent real-time predictive diagnostics for cutting tools and supervisory control of machining operations. Journal of Engineering for Industry 115:268-277.
19. Rao, B. S. (1986). Tool Wear monitoring through the dynamics of stable turning. Journal of Engineering for Industry 108:183-189.
20. Shaw, C. M. (1986). Metal Cutting Principles. New York: Oxford University Press.
21. Sonka, M., Hlavac, V., Boyle, R. (1999). Image Processing, Analysis, and Machine Vision. Books/Cole Publishing Company.
22. Trent, M. E., Wright, P. K. (2000). Metal Cutting. Butterworth-Heinemann.
23. Venkatesh, K., Zhou, M., Caudill, J. (1997). Design of artificial neural networks for tool wear monitoring. Journal of Intelligent Manufacturing 8:215-226.
24. Vernon, D. (1991). Machine Vision: Automated Visual Inspection and Robot Vision. Prentice-Hall International (UK) Ltd.
25. Youn, J., Yang, M. (2001). A study on the relationships between static/dynamic cutting force components and tool wear. Journal of Manufacturing Science and Engineering 123:196-205.