Optimization model of recrystallization hot rolling of titanium-vanadium steels |
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Authors: | I. C. Özsoy G. E. Ruddle A. F. Crawley |
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Affiliation: | (1) Automatic Control Unit, Mechanical Faculty, Istanbul Technical University, Gumussuyu, Istanbul, Turkey;(2) Physical Metallurgy Research Laboratories of Energy, Mines, and Resources, Ottawa, Canada |
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Abstract: | An optimization model was built based on the data of a pilot-scale (4.5 MN load, 225 KW power capacity) rolling mill to minimize the austenite grain sizes of Ti–V steels, which prevail at the instant of completion of the static recrystallization during hot rolling. A computer program developed for this optimization model was run for the rolling schedule, which is designed according to the complete recrystallization case. An energy optimization model developed previously was applied to different rolling schedules. The grain size optimization results demonstrate the effectiveness of these modelling approaches in terms of final grain size, final plate thickness, measured and computed roll force and torque values for both the design of the thermomechanical schedules which produce plate with fine-grained microstructures, high strength, and notch toughness and the temperature-reduction schedules of conventional controlled rolling. |
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Keywords: | Hot rolling recrystallization grain size multiple linear regressions mathematical programming |
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