Abstract
The effort that the materials science and metallurgical engineering communities have expended in developing high-fidelity process models can be exploited using model predictive control (MPC) technologies to provide very high process performance. This article presents a survey of the development of high-quality models and a discussion of how these could be used to improve process operation. A summary of the current state-of-the-art in process automation technologies and the common framework in which these technologies are deployed is presented, along with a tutorial on MPC within a materials-processing context.
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For more information, contact J. Fraser Forbes, University of Alberta, Department of Chemical and Materials Engineering, Edmonton, AB, Canada T6G 2G6; (780) 492-0873; fax (780) 492-2881; e-mail fraser.forbes@ualberta.ca.
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Shang, H., Wiskel, J.B., Forbes, J.F. et al. Exploiting model fidelity to control metals processing. JOM 55, 41–45 (2003). https://doi.org/10.1007/s11837-003-0159-y
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DOI: https://doi.org/10.1007/s11837-003-0159-y