研究论文

基于大数据挖掘的连铸结晶器传热独立变化规律

  • 彭治强 ,
  • 柳前 ,
  • 郭东伟 ,
  • 曾子航 ,
  • 曹江海 ,
  • 侯自兵
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  • 1.重庆大学 材料科学与工程学院 重庆 400044
    2.重庆大学 钒钛冶金及新材料重庆市重点实验室 重庆 400044
彭治强,男,1996年生,博士生
侯自兵,houzibing@cqu.edu.cn,主要从事凝固组织与偏析特征及精细化控制研究

收稿日期: 2021-08-16

  修回日期: 2021-09-15

  网络出版日期: 2022-02-16

基金资助

国家自然科学基金项目(52274318)

Independent Change Law of Mold Heat Transfer in Continuous Casting Based on Big Data Mining

  • PENG Zhiqiang ,
  • LIU Qian ,
  • GUO Dongwei ,
  • ZENG Zihang ,
  • CAO Jianghai ,
  • HOU Zibing
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  • 1.College of Materials Science and Engineering, Chongqing University, Chongqing 400044, China
    2.Chongqing Key Laboratory of Vanadium-Titanium Metallurgy and New Materials, Chongqing University, Chongqing 400044, China
HOU Zibing, associate professor, Tel: 13628489073, E-mail: houzibing@cqu.edu.cn

Received date: 2021-08-16

  Revised date: 2021-09-15

  Online published: 2022-02-16

Supported by

National Natural Science Foundation of China(52274318)

摘要

针对连铸板坯表面纵裂纹,基于连铸生产过程参数,利用大数据挖掘方法,提出了一种获取现场不同参数对结晶器传热单独影响的新方法,即生产参数独立影响(IPI)法。IPI方法包含数据预处理、交叉相关程度计算、主要相关参数检验、数据筛选和独立影响分析等5个环节,以实现从交互相关的连铸参数中找到参数的主要相关参数,从而分析各连铸参数对结晶器传热的独立影响规律。结果表明,除拉速、过热度、板坯宽度、结晶器锥度、结晶器总水流量等常规影响因素外,结晶器振动频率、结晶器液位、水口插入深度、塞棒位置以及不同位置吹Ar流量等均对结晶器热流有不同程度的影响。塞棒吹Ar流量、塞棒位置和水口插入深度均对结晶器传热有正向促进作用,而水口吹Ar流量、结晶器振动频率、结晶器总水流量主要表现为负向抑制作用。另外,对于水口吹Ar流量和结晶器总水流量而言,存在结晶器热流最大的拐点值,分别为3.5 L/min和8250~8750 L/min。

本文引用格式

彭治强 , 柳前 , 郭东伟 , 曾子航 , 曹江海 , 侯自兵 . 基于大数据挖掘的连铸结晶器传热独立变化规律[J]. 金属学报, 2023 , 59(10) : 1389 -1400 . DOI: 10.11900/0412.1961.2021.00340

Abstract

Mold heat transfer has an essential influence on the initial formation of surface longitudinal cracks in slabs, and control over various process parameters in continuous casting is very important for achieving the desired qualified product. A study on the influence of parameters on mold heat transfer helps determine the law of mold heat transfer and realize fine control of the parameters. However, the cross-correlation between continuous casting parameters makes it difficult to identify the independent influence of each parameter on the mold heat flux. Based on the parameters in the production process of continuous casting using big data mining and analytics, a new method for obtaining the independent effect of each parameter on the mold heat transfer is proposed, namely the new method for independent process influence (IPI). The five links included in the IPI method can be calculated in turn: data preprocessing, cross-correlation level calculation, main related parameters testing, data filtering, and independent influence analysis. The results showed that, in addition to the conventional influence of the casting speed, superheat, slab width, mold taper, and total water flow on mold heat flux, the oscillation frequency, mold level, immersion depth of nozzle, stopper position, and argon blowing flow rate at different positions affected mold heat flux to a certain extent. The argon blowing flow rate of the stopper, stopper position, and immersion depth of the nozzle positively influence the mold heat flux. Conversely, the argon blowing flow rate of the nozzle, oscillation frequency, and total water flow rate have a negative influence. In addition, for the argon blowing flow rate in the nozzle and total water flow rate, an inflection point is reached after achieving the maximum values of 3.5 L/min and 8250-8750 L/min, respectively. This research can provide a new reference and basis for the systematic mechanism analysis of the heat transfer process and formation of longitudinal surface cracks in continuous casting and services for the fine control of high-quality steel production on site.

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