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Temperature prediction model for controlling casting superheat temperature

机译：控制铸件过热温度的温度预测模型

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摘要

A temperature prediction model has been developed for controlling the casting superheat temperature. For ease of implementation, the model is intentionally made simpler having a combination of a one dimensional heat transfer model and a simple regression model. The model is based on the fact that the BOF temperature of the liquid steel along with the bath cooling behaviours controls the aimed casting superheat temperature. Starting with the steel liquidus temperature and calculating the required steel temperature backwards throughout the process line gives the targeted BOF tap temperature. The on-line picking up of actual data helps the model to predict for the next stage more accurately in forward direction. Based on the predicted steel temperature, plant operators can take any necessary corrective action like additional ladle heating and extra/reduced argon stirring to ensure the aim final ladle/tundish temperatures at the casting are achieved.
机译：已经开发了用于控制铸件过热温度的温度预测模型。为了易于实施，有意使模型具有一维传热模型和简单回归模型的组合来简化。该模型基于以下事实：液态钢的BOF温度与熔池冷却行为一起控制着目标铸件过热温度。从钢的液相线温度开始，并在整个生产线中向后计算所需的钢温度，得出目标BOF出钢温度。在线获取实际数据有助于模型在向前的方向上更准确地预测下一阶段。根据预测的钢水温度，工厂操作员可以采取任何必要的纠正措施，例如额外的钢包加热和额外的/减少的氩气搅拌，以确保达到目标的最终钢包/中间包温度。

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