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Artificial Intelligence for Materials Processing and Process Control

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References

  1. B. Closset, A. Argyropoulos, J. Gruzleski and H. Oger, “The Quantitative Control of Modification in Al-Si Foundry Alloys Using a Thermal Analysis Technique,” AFS Transactions 83–27, pp. 351–358.

  2. J. Charbonnier, J. Morice and R. Portalier, “Thermal Analysis of Aluminum Alloys to Determine Their Suitability for Casting,” AFS International Cast Metals Journal (Sept. 1979), pp. 39–44.

    Google Scholar 

  3. William B. Gevarter, “Introduction to Artificial Intelligence,” Chemical Engineering Progress, Vol. 83, No. 9 (Sept. 1987).

    Google Scholar 

  4. The Handbook of Artificial Intelligence, Vol. 1, A. Barr and E. Feigenbaum, eds., William Kaufmann, Inc. (1981).

  5. E. Charniak and D. McDermott, Introduction to Artificial Intelligence, Addison-Wesley (1985).

    MATH  Google Scholar 

  6. Donald A. Waterman, A Guide to Expert Systems, Addison-Wesley (1986).

    Google Scholar 

  7. B. Kushner, R. Geesey, P. Parrish and S. Wax, “A Knowledge Acquisition Tool for the Intelligent Processing of Materials,” Artificial Intelligence Applications in Material Science, R. Harrison and L. Roth, eds., TMS (1987).

    Google Scholar 

  8. N. Moray, P. Lootsteen and J. Pajak, “Acquisition of Process Control Skills,” IEEE Transactions on Systems, Man, and Cybernetics, Vol. SMC-16, No. 4 (July/August 1986), pp. 497–504.

    Article  Google Scholar 

  9. N. Nilsson, Principles of Artificial Intelligence, Tioga, Palo Alto, California (1980).

    MATH  Google Scholar 

  10. S.A. Argyropoulos, R.S. Valivete and B.M. Closset, “A Facility for Local and Remote Data Acquisition and Process Control in Metallurgy,” Journal of Metals, Vol. 35, No. 10 (October 1983), pp. 30–35.

    Google Scholar 

  11. J. deKleer, “Qualitative and Quantitative Reasoning in Classical Mechanics,” AI: An MIT Perspective, Vol. 1, MIT Press (1981).

  12. D. Gregory, “Delimiting Expert Systems,” IEEE Transactions on Systems, Man, and Cybernetics, Vol. SMC-16, No. 6 (November/December 1986), pp. 834–843.

    Article  Google Scholar 

  13. T. Laffey, P. Cox, J. Schmidt, S. Kao and J. Read, “Real-Time Knowledge-Based Systems,” AI Magazine (Spring 1988), pp. 27–45.

    Google Scholar 

  14. R. Moore, L. Hawkinson, C. Knickerbocker and L. Churchman, “A Real-Time Expert System for Process Control,” Proc. IEEE First Conf. on Artificial Intelligence Applications (Washington, D.C., 1984), pp. 569–576.

    Google Scholar 

  15. D. Laguitton, “New Computer Technology Finds Applications in Mineral Processing R&D at CANMET,” Mineral Processing Laboratory, Canada Centre for Mineral and Energy Technology, Division Report MSL-87-1 (Jan. 1987).

    Google Scholar 

  16. J. Vanderstichelen, “Expert System Prototype for Process Diagnosis in the Clinker Grinding Circuit of a Cement Factory,” Proceedings of the CANMET Symposium on Expert Systems in the Mineral Industry, Department of Energy, Mines, and Resources, CANMET, Ottawa, SP 87-4E (March 1987).

    Google Scholar 

  17. D. Laguitton, Expert Systems in Mineral Processing, Annual Conference of the Canadian Mineral Processors, Ottawa (January 19, 1988).

    Google Scholar 

  18. C. Harris and G. Kosick, “Expert System Technology at the Polaris Mine,” Annual Conference of the Canadian Mineral Processors, Ottawa (January 19, 1988).

    Google Scholar 

  19. P. Zalevsky, “An AI-Based Approach for Simulating Manufacturing Facilities,” Proceedings of the 18th Annual Conference on Modeling and Simulation, Instrument Society of America, Pittsburgh (April 23–24, 1987).

    Google Scholar 

  20. K. Maddux and S. Jain, “Manufacturing Process Simulation: A Building Block in an Artificial Intelligence System for the Manufacturing Engineer,” Proceedings of Symposium on Application of Artificial Intelligence in Materials Science, TMS, Orlando, Florida (October 8, 1986), pp. 13–33.

    Google Scholar 

  21. D. Marinaro and J. Morris, “Research Towards an Expert System for Materials Design,” Proceedings of Symposium on Application of Artificial Intelligence in Materials Science, TMS, Inc., Orlando, Florida (October 8, 1986), pp. 49–77.

    Google Scholar 

  22. I. Hulthage, M. Przystupa, M. Farinacci and M. Rychener, “The Metallurgical Data Base of ALADIN—An Alloy Design System,” Proceedings of Symposium on Application of Artificial Intelligence in Materials Science, TMS, Orlando, Florida (October 8, 1986), pp. 79–92.

    Google Scholar 

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Authors and Affiliations

  1. University of Toronto, Canada

    Osama T. Albaharna & Stavros A. Argyropoulos

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  1. Osama T. Albaharna
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  2. Stavros A. Argyropoulos
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Albaharna, O.T., Argyropoulos, S.A. Artificial Intelligence for Materials Processing and Process Control. JOM 40, 6–10 (1988). https://doi.org/10.1007/BF03257973

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