Development and application of a machine vision system for measurement of tool wear

Journal of Engineering and Applied Sciences

Volumn 4, Issue 4, 2009, Pages 42-49

  Fadare, D A ^a   Oni, A O ^a  

^a UNIVERSITY OF IBADAN   (Nigeria)

Author keywords

Carbide insert; Machine vision; NST 37.2 steel; Tool wear measurement; Turning operation

Indexed keywords

EID: 77953779342     PISSN: 1816949X     EISSN: 18187803     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

1. Kurada S. and C. Bradley. 1997. A Review of Machine Vision Sensors for Tool Condition Monitoring. Computers in Industry. 34: 55-72.
2. Oni A.O. 2007. Development of a Machine Vision System for Measurement of Tool Wear and Surface Roughness. Unpublished M.Sc. Dissertation, University of Ibadan, Nigeria.
3. Priya P. and B. Ramamoorthy. 2007. The Influence of Component Inclination on Surface Finish Evaluation Using Digital Image Processing. International Journal of Machine Tools and Manufacture. 47: 570-579.
4. Al-Kindi G.A., R.M. Baul and K.F. Gill. 1992. An Application of Machine Vision in the Automated Inspection of Engineering Surfaces. International Journal of Production Research. 30(2): 241-253.
5. Rajneesh K., P. Kulashekar, B. Dhanasekar and B. Ramamoorthy. 2005. Application of Digital Image Magnification for Surface Roughness Evaluation Using Machine Vision. International Journal of Machine Tools and Manufacture. 45: 228-234.
6. Bradley C. and Y.S. Wong. 2001. Surface Texture Indicators of Tool Wear-A Machine Vision Approach. The International Journal of Advance Manufacturing Technology. 17: 435-443.
7. Yongjin K. and G.W. Fischer. 2003. A Novel Approach to Quantifying Tool Wear and Tool Life Measurement for Optimal Tool Management. International Journal of Machine Tools and Manufacture 43: 359-368.
8. Bahr B. and T. Motavalli. 1997. Sensor Fusion for Monitoring Machine Tool Conditions. International Journal of Computer Integrated Manufacturing. 10: 314-323.
9. Dawson T. G. and R.K. Thomas. 2002. Tool life, Wear Rates and Surface Quality in Hard Turning. The George W. Woodruff school of Mechanical Engineering, Georgia Institute of Technology.
10. Ravindra H.V. and K.R. Srinivasa. 1993. Modelling of Tool Wear Based on Cutting Forces in Turning. Indian Institute of Technology, Madras. 169(1): 25-32.