您当前的位置：
首页 >
文章列表页 >
Predicting Endpoint Temperature of Molten Steel in VD Furnace Refining Process Using Metallurgical Mechanism and Bayesian Optimization XGBoost
ANOMALY DETECTION AND SAFETY CONTROL OF CYBER-PHYSICAL SYSTEMS FOR MAJOR EQUIPMENT | 更新时间：2024-11-22
|

    • Predicting Endpoint Temperature of Molten Steel in VD Furnace Refining Process Using Metallurgical Mechanism and Bayesian Optimization XGBoost

    • “在炼钢生产领域，专家采用冶金机理和贝叶斯优化XGBoost方法建立钢液温度预测模型，实现钢液温度精准控制，降低生产成本，提高VD炉精炼效率。”
    • Advanced Engineering Sciences   Vol. 56, Issue 6, Pages: 63-72(2024)

    • DOI：10.12454/j.jsuese.202400014    

      CLC： TF769

    • Published：20 November 2024，

      Published Online：07 June 2024，

      Received：08 January 2024，

      Revised：15 April 2024，

    移动端阅览

  • Xu Ji,Xin Zicheng,Lan Mo,et al.Predicting endpoint temperature of molten steel in VD furnace refining process using metallurgical mechanism and Bayesian optimization XGBoost[J].Advanced Engineering Sciences,2024,56(6):63–72 DOI： 10.12454/j.jsuese.202400014.

  •  
  •  

0

Views

66

下载量

0

CNKI被引量

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

No data

Related Author

XU Ji
XIN Zicheng
LAN Mo
LIN Wenhui
ZHANG Bo
LIU Qing

Related Institution

School of State Key Lab. of Advanced Metallurgy, Univ. of Sci. and Technol., Beijing
Jiangsu Jinheng Info. Technol. Co., Ltd.
0