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中厚板加热炉板坯温度控制模型研究与优化
引用本文:朱强强,王君,李建平,丁敬国,黄苏. 中厚板加热炉板坯温度控制模型研究与优化[J]. 中国冶金, 2021, 31(9): 143-148. DOI: 10.13228/j.boyuan.issn1006-9356.20210069
作者姓名:朱强强  王君  李建平  丁敬国  黄苏
作者单位:东北大学轧制技术及连轧自动化国家重点实验室, 辽宁 沈阳 110819
基金项目:国家自然科学基金资助项目(51274063)
摘    要:板坯温度控制模型是加热炉过程控制的核心,主要任务是根据生产工艺和相关数学模型控制、协调和优化获得加热质量较好的板坯.针对中厚板加热炉过程控制的板坯加热环节多变量和温度预报不精准等问题,选取了热流密度和热物性参数,并结合有限差分法建立的二维差分模型,对板坯温度控制模型进行了优化.将优化后的模型嵌入到在线燃烧二级自动控制系...

关 键 词:中厚板  加热炉  燃烧过程  过程控制  板坯温度预报和控制模型  现场应用

Research and optimization of slab temperature control model for plate heating furnace
ZHU Qiang-qiang,WANG Jun,LI Jian-ping,DING Jing-guo,HUANG Su. Research and optimization of slab temperature control model for plate heating furnace[J]. China Metallurgy, 2021, 31(9): 143-148. DOI: 10.13228/j.boyuan.issn1006-9356.20210069
Authors:ZHU Qiang-qiang  WANG Jun  LI Jian-ping  DING Jing-guo  HUANG Su
Affiliation:The State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang 110819, Liaoning, China
Abstract:Slab temperature control model is the core of the furnace process control. The main task is to control, coordinate, and optimize the slab's heating quality according to the production process and the relevant mathematical model. In this paper, the slab temperature control model was optimized by selecting heat flow density and thermal property parameters and combining them with a two-dimensional difference model established by the finite difference method for the process control of medium-thick plate heating furnaces with multiple variables and inaccurate temperature forecasts. The optimized model was embedded into the online combustion secondary automation control system, and the main field application results were as follows.The temperature stability of each section of the heating furnace was within ±10 ℃; the slab opening process temperature qualification rate reached 98.28%; the gas energy-saving rate was increased by 5.56%; the oxidation burn rate was reduced by 15.05%. Through the field application effect, the optimized slab temperature control model obtained slabs with better heating quality based on energy saving and consumption reduction, which provided an essential reference basis for the actual production of the heating furnace in each steel mill.
Keywords:plate  heating furnace  combustion process  process control  billet temperature prediction and control model  field application   
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