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基于灰箱模型的LF精炼终点温度预测

唐海燕 郭晓晨 王建磊 王勇 程鹏飞

工程科学学报2016,Vol.38Issue(z1):139-145,7.
工程科学学报2016,Vol.38Issue(z1):139-145,7.DOI:10.13374/j.issn2095-9389.2016.s1.024

基于灰箱模型的LF精炼终点温度预测

End-point temperature prediction of molten steel in LF based on gray-box model

唐海燕 1郭晓晨 1王建磊 1王勇 1程鹏飞1

作者信息

  • 1. 北京科技大学冶金与生态工程学院,北京100083
  • 折叠

摘要

Abstract

Taking a 30 ton of LF as an investigated object, a gray-box model to predict the end-point temperature of molten steel in LF based on the mechanism model and the black-box model was established. The heat transfer mechanism model was firstly estab-lished according to the energy conservation law. In addition, the black-box model based on partial least squares was adopted to solve the problem that the regeneration of the ladle lining and thermal effects of the alloys are difficult to accurately calculate. Finally, the two models were combined to predict the end-point temperature of molten steel in LF. Simulation results show that the hit rate within the error range of ±5℃ by partial least squares for the regeneration of ladle lining refractory and thermal effects of the alloys reaches more than 97%, and the total hit rate within the error ranges of ±5, ±8 and ±10℃ by gray-box model reaches 88%, 96% and 99%, respectively. This means the grey-box model can accurately predict the end-point temperature of LF, which provides the guid-ance for the LF refining process in this factory.

关键词

灰箱模型/LF炉精炼/终点温度/偏最小二乘法

Key words

gray-box modeling/LF refining/end-point temperature/partial least squares

分类

矿业与冶金

引用本文复制引用

唐海燕,郭晓晨,王建磊,王勇,程鹏飞..基于灰箱模型的LF精炼终点温度预测[J].工程科学学报,2016,38(z1):139-145,7.

基金项目

北京市本科生科技创新资助项目 ()

工程科学学报

OA北大核心CSCDCSTPCD

2095-9389

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