Hybrid End-Point Static Control Model for 80 Tons BOF Steelmaking

被引：4
|
作者：
Wang, Miao [1 ]
Gao, Chuang [2 ]
Ai, Xingang [1 ]
Zhai, Baopeng [3 ]
Li, Shengli [1 ]
机构：
[1] Univ Sci & Technol Liaoning, Sch Met & Mat, Anshan 114051, Liaoning, Peoples R China
[2] Univ Sci & Technol Liaoning, Sch Elect & Informat Engn, Anshan 114051, Liaoning, Peoples R China
[3] Angang Grp Automat Co Ltd, Anshan 114000, Peoples R China
来源：
TRANSACTIONS OF THE INDIAN INSTITUTE OF METALS | 2022年 / 75卷 / 09期
关键词：
End-point control model; Twin support vector regression; Whale optimization algorithm; Basic oxygen furnace; PREDICTION MODEL;
D O I：
10.1007/s12666-022-02603-8
中图分类号：
TF [冶金工业];
学科分类号：
0806 ;
摘要：
Accurate control of the basic oxygen furnace (BOF) end-point can effectively improve the quality of steel. A hybrid end-point static control model is proposed to calculate the oxygen blowing volume and lime weight, and realizes the control of the end-point of BOF. Firstly, the prediction model is established based on twin support vector regression (TSVR). Secondly, the difference between the predicted value and actual value of the obtained model is used as the objective function, combined with the whale optimization algorithm (WOA) and incremental algorithm to optimize the objective function. Finally, the optimal value vector of oxygen blowing volume and lime weight is obtained. The simulation calculation is carried out by using the actual production sample of an 80 tons BOF. The results show that the proposed prediction model has high prediction accuracy, and the calculated oxygen blowing volume and lime weight can meet the actual field production.
引用
收藏
页码：2281 / 2288
页数：8
相关论文
共 50 条
  • [41] A Hybrid Model for Predicting the End-Point Phosphorus Content of Electric Arc Furnace
    Chen, Chao
    Wang, Nan
    Chen, Min
    MATERIALS PROCESSING FUNDAMENTALS 2021, 2021, : 167 - 176
  • [42] PREDICTION THE END-POINT PHOSPHORUS CONTENT OF MOLTEN STEEL IN BOF WITH MACHINE LEARNING MODELS
    Kang, Y.
    Ren, M. -M
    Zhao, J. -X
    Yang, L. -B
    Zhang, Z. -K
    Wang, Z.
    Cao, G.
    JOURNAL OF MINING AND METALLURGY SECTION B-METALLURGY, 2024, 60 (01) : 93 - 103
  • [43] The Research on End-point Forecast and End-point Control of Argon Oxygen Refining Ferroalloy with Material Properties
    Ke, Hongdi
    Wang, Hui
    ADVANCED RESEARCH ON INTELLIGENT SYSTEMS AND MECHANICAL ENGINEERING, 2013, 644 : 29 - 32
  • [44] Investigation of the End-Point Temperature Control Based on the Critical Temperature of Vanadium Oxidation During the Vanadium Extraction Process in BOF
    Zhen-yu Zhou
    Ping Tang
    Zi-bing Hou
    Guang-hua Wen
    Transactions of the Indian Institute of Metals, 2018, 71 : 1957 - 1961
  • [45] END-POINT TEMPERATURE CONTROL OF BASIC OXYGEN STEELMAKING PROCESS BY MEANS OF A SPECIAL-PURPOSE ANALOG COMPUTER
    SLATOSKY, WJ
    JOURNAL OF THE IRON AND STEEL INSTITUTE, 1962, 200 (JAN): : 37 - &
  • [46] Investigation of the End-Point Temperature Control Based on the Critical Temperature of Vanadium Oxidation During the Vanadium Extraction Process in BOF
    Zhou, Zhen-yu
    Tang, Ping
    Hou, Zi-bing
    Wen, Guang-hua
    TRANSACTIONS OF THE INDIAN INSTITUTE OF METALS, 2018, 71 (08) : 1957 - 1961
  • [47] INSITU END-POINT CONTROL OF PHOTORESIST DEVELOPMENT
    THOMSON, M
    SOLID STATE TECHNOLOGY, 1990, 33 (05) : 171 - 175
  • [48] Contact force control in the robot end-point
    Kardos, Jan
    FATIGUE 2010, 2010, 2 (01): : 563 - 572
  • [49] Prediction model of BOF end-point temperature and carbon content based on PCA-GA-BP neural network
    Liu, Zhao
    Cheng, Shusen
    Liu, Pengbo
    Metallurgical Research and Technology, 2022, 119 (06):
  • [50] Prediction model of BOF end-point P and O contents based on PCA-GA-BP neural network
    Liu, Zhao
    Cheng, Shusen
    Liu, Pengbo
    HIGH TEMPERATURE MATERIALS AND PROCESSES, 2022, 41 (01) : 505 - 513
12345