电弧炉炼钢合金成分控制模型

Alloying Component Controlling Model for EAF Steelmaking

在电弧炉冶炼过程中,合金成分的控制对产品质量具有重要的作用。通常情况下建立以合金成本最低为目标的线性规划模型,并采用单纯型算法求解。在电弧炉模型的应用过程中,合金元素收得率对模型的精度影响较大,但是合金元素的收得率很难准确获得。通过对电弧炉生产过程中影响合金元素收得率的因素分析,建立了以灰色模型为基础的合金元素收得率估计模型,与线性规划模型构成电弧炉合金成分控制模型,提高了模型的精度。经实践应用表明,该模型可以保证按照各钢种成分要求实现准确、经济地进行电弧炉出钢时合金化操作,使钢水成分达到要求范围,有利于实现电弧炉冶炼中钢水的窄成分控制。

In electric arc furnace （EAF） steelmaking process, a linear programming model is established to calculate the optimum alloy additions in order to control the alloy component economically. But the model＇s precision depends on the element yield and the steel weight which are very difficult to be obtained in the process ofEAF steelmaking. After analysis the factors which influence the element yield and steel weight, a prediction model for element yield is established upon grey model in this paper. A alloying controlling model for EAF steelmaking is formed by combining prediction model with the LP alloy addition model. It can be achieved for the operation of alloying accurately after the model used in process of tapping. SO narrow component controlling for molten steel will be achieved at last. The effectiveness of the proposed method is illustrated by a number of multi-input soft sensor simulation examples.