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Expert Control of Turning Process

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CAD/CAM Robotics and Factories of the Future ’90

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Summary

There has been a steady attempt to use Artificial Intelligence (AI) and Expert system techniques for real time control systems.The purpose of this paper is to illustrate the methodology for successfully adopting rule based expert system with process knowledge for the control of turning process. This is done by treating control of the machining process as a decision making problem, involving high degree of uncertainty, thereby establishing a decision making framework to be applied in tandem with multiple sensors.The system was tested for reliability under simulated turning conditions.

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References

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Concordia University, Montreal, Quebec, Canada

    P. S. Subramanya, V. Latinovic & M. O. M. Osman

Authors
  1. P. S. Subramanya
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  2. V. Latinovic
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  3. M. O. M. Osman
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Aerospace Engineering, West Virginia University, 26506-6101, Morgantown, WV, USA

    Suren N. Dwivedi

  2. Department of Mechanical Engineering Technology, Old Dominion University, 23508, Norfolk, VA, USA

    Alok K. Verma (Chairman) (Chairman)

  3. Concurrent Engineering Research Center, West Virginia University, 26506, Morgantown, WV, USA

    John E. Sneckenberger

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© 1991 Springer-Verlag Berlin Heidelberg

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Subramanya, P.S., Latinovic, V., Osman, M.O.M. (1991). Expert Control of Turning Process. In: Dwivedi, S.N., Verma, A.K., Sneckenberger, J.E. (eds) CAD/CAM Robotics and Factories of the Future ’90. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-84338-9_40

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  • DOI: https://doi.org/10.1007/978-3-642-84338-9_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-84340-2

  • Online ISBN: 978-3-642-84338-9

  • eBook Packages: Springer Book Archive

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