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/vol02/mittoni/ | © Copyright 1995 | |||
| Volume 02 | Received: Accepted: |
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Monitoring Complex Metallurgical Systems using Pattern Recognition Techniques
Louis J. Mittoni and M. Philip Schwarz |
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| Abstract | |
| Metallurgical systems in which a gas is injected into a molten metal in order to attain mass transfer or mixing objectives, often exhibit highly complex dynamics. The metallurgical industry is one which demands a superior level of efficiency for processing operations in order to minimise material and operating costs whilst maximising productivity. To fulfill such requirements, it is necessary to collect the information directly or indirectly affecting the process system, and subsequently have the opportunity to react in real time to any potentially unproductive anomalies which may arise. A method for determining the state of gas-liquid bubbling systems by constructing d-dimensional vectors using measured intervals between specific high frequency pressure events in the upstream region of the gas supply line is described. The possibility of applying pattern recognition algorithms to identify operating conditions from return maps is also explored. The feasibility of this approach for the estimation of such parameters as refractory wear, melt density, injection submergence, liquid circulation, bubble frequency and size distribution is demonstrated using a number of laboratory experiments. | |
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