Mathematical Model for Forecasting Temperature of Molten Steel during the Continuous Casting Process
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摘要: 應用神經網絡建立連鑄鋼水溫度預報模型,重點研究了轉爐出鋼到中間包澆鑄區間的溫度變化,確定鋼水溫降與其影響因素之間的非線性映射關系.本模型能較準確地預報連鑄鋼水溫度Abstract: The regularity of liquid steel temperature during BOF tapping to the tundish process was studied. With the neural network theory, a mathematical model for forecasting the temperature change of molten steel and its non-lineal functional relations with the influencing factors during CC have been established. With this model, the steel temperature in the CC process can be predicted more correctly.
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Key words:
- liquid steel temperature /
- neural network /
- forecast
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