An intelligent system for selection of grinding wheels

Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

Volumn 211, Issue 8, 1997, Pages 635-641

  Li, Y ^a   Mills, B ^a   Rowe, W B ^a  

^a LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

Author keywords

Grinding wheel; Neural network; Selection

Indexed keywords

BACKPROPAGATION; C (PROGRAMMING LANGUAGE); LEARNING SYSTEMS; NEURAL NETWORKS; PERSONAL COMPUTERS;

GRINDING WHEEL SELECTION;

GRINDING WHEELS;

EID: 0031382467     PISSN: 09544054     EISSN: None     Source Type: Journal    
DOI: 10.1243/0954405981516571     Document Type: Article

References (7)

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2. Machinability Data Centre. Machining Data Handbook, 3rd edition, Vol. 2, 1980 (Metcut Research Associates Inc., USA).
3. King, R. I. and Hahn, R. S. Handbook of Modern Grinding Technology, 1986 (Chapman and Hall, New York).
4. Midha, P. S., Zhu, C. B. and Trmal, G. J. An expert system for wheel selection for cylindrical grinding operations. In Proceedings of Sixth International Conference on Computer Aided Production Engineering, London, 1990, pp. 445-450.
5. Zhu, C. B., Midha, P. S. and Trmal, G. J. Development of knowledge base abrasive wheel selection system using a proprietary expert system shell. In Proceedings of Fourth International Congress on Condition Monitoring and Diagnostic Engineering Manufacturing, Selis, France, 1992, pp. 318-325.
6. Grinding Data Book, 1992 (Universal Grinding Wheel Company Limited, UK).
7. Rangwala, S. S. and Dornfeld, D. A. IEEE Trans. Systems, Man, and Cybernetics, 1989, 19(2), 299-314.