A machine vision system for tool wear assessment

Tribology International

Volumn 30, Issue 4, 1997, Pages 295-304

  Kurada, S ^a   Bradley, C ^a  

^a UNIVERSITY OF VICTORIA   (Canada)

Author keywords

Image processing; Machine vision; Texture; Tool wear

Indexed keywords

CHARGE COUPLED DEVICES; COMPUTER VISION; IMAGE QUALITY; MICROSCOPES; WEAR OF MATERIALS;

FLANK WEAR; TOOL WEAR;

MACHINE TOOLS;

EID: 0031125739     PISSN: 0301679X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0301-679X(96)00058-8     Document Type: Article

References (18)

1. Boothroyd G. Fundamentals of Metal Machining and Machine Tools, McGraw-Hill, New York, 1975
2. Tlusty J. and Andrews G.C. A critical review of sensors for unmanned machining. Ann. CIRP 1983, 32, 563-572
3. Kurada S. and Bradley C. A vision system for in-cycle tool wear monitoring, Proc. Eighth Int. Cong. Condition Monitoring and Diagnostic Engineering Management, Kingston, Ontario, June 1995, Queen's University at Kingston, Ontario, Canada
4. Chryssolouris G. and Domroese M. Sensor integration for tool wear estimation in machining. Proc. Symp. Sensors and Controls in Manufacturing, ASME, New York, 1988, 115-123
5. Konig W., Langhammer K. and Schemmel H.-U. Correlations between cutting force components and tool wear. Ann. CIRP 1972, 21, 19-29
6. Sihra T.S. The application of pattern recognition techniques for on-line monitoring of a milling process. Proc. Eighth Int. Cong. Condition Monitoring and Diagnostic Engineering Management, Kingston, Ontario, June 1995, Queen's University at Kingston, Ontario, Canada
7. Jiang C.Y., Zhang Y.Z. and Xu H.J. In-process monitoring of tool wear stage by the frequency band-energy method. Ann. CIRP 1987, 36, 45-48
8. Rangwala S. and Dornfeld D.A. Integration of sensors via neural networks for detection of tool wear states. Proc. Symp. Integrated and Intelligent Manufacturing Analysis and Synthesis, ASME Winter Annual Meeting, New York, 1987, 109-120
9. Du R., Elbestawi M.A. and Wu S.M. Automated monitoring of manufacturing processes Part 2: Applications. J. Eng. Indust. 1995, 117, 133-142
10. Weiss W., Lengeling A. and Huntrup V. Automatisierte Werkzeuguberwachung und-vermessung beim Frasen mit Hilfe bildverarbeitender Systeme. Technisches Messen 1994, 61, 473-476
11. Lee Y.H., Bandyopadhyay P. and Kaminski B.D. Cutting tool wear measurement using computer vision. Proc. Sensors '86 Conf., SME Technical Paper MR86-934, Detroit, MI, 1986
12. Giusti F., Santochi M. and Tantussi G. On-line sensing of flank and crater wear of cutting tools. Ann. CIRP 1987, 36, 41-44
13. Pedersen K.B. Wear measurement of cutting tools by computer vision. Int. J. Mach. Tools Manuf. 1990, 30, 131-139
14. Park J.J. and Ulsoy A.G. On-line flank wear estimation using an adaptive observer and computer vision, Part 2: Experiment. J. Eng. Indust. 1993, 115, 37-43
15. Jeon J.U. and Kim S.W. Optical flank wear monitoring of cutting tools by image processing. Wear 1988, 27, 207-217
16. Russ J.C. The Image Processing Handbook, CRC Press, Florida, USA, 1992
17. Russ, J.C. Processing images with a local Hurst operator to reveal textural differences. J. Comput. Assist. Microscopy 1990, 2, 249-257
18. Ulsoy A.G. and Koren Y. Control of machining processes. J. Dyn. Syst. Meas. Control 1993, 115, 301-308