Advanced search
Publication Cover
Ironmaking & Steelmaking
Processes, Products and Applications
Volume 47, 2020 - Issue 7
Journal homepage
275
Views
7
CrossRef citations to date
0
Altmetric
Research Articles

Case-based reasoning method based on mechanistic model correction for predicting endpoint sulphur content of molten iron in KR desulphurization

Kai Fenga School of Metallurgy and Ecology Engineering, University of Science and Technology Beijing, Beijing, People’s Republic of China;b Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, People’s Republic of ChinaView further author information
,
An-jun Xua School of Metallurgy and Ecology Engineering, University of Science and Technology Beijing, Beijing, People’s Republic of ChinaView further author information
,
Dong-feng Hea School of Metallurgy and Ecology Engineering, University of Science and Technology Beijing, Beijing, People’s Republic of ChinaView further author information
&
Lingzhi Yangc School of Minerals Processing and Bioengineering, Central South University, Changsha, People’s Republic of ChinaCorrespondence[email protected]
View further author information
Pages 799-806 | Received 24 Jan 2019, Accepted 30 Apr 2019, Published online: 06 Jun 2019

Citations (7)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (2)

Tero Vuolio, Ville–Valtteri Visuri, Aki Sorsa, Timo Paananen, Sakari Tuomikoski & Timo Fabritius. (2023) Machine learning assisted identification of grey-box hot metal desulfurization model. Materials and Manufacturing Processes 38:15, pages 1983-1996.
Read now
Wei Chen, Yanyu Zhao, Xinyu Cai, Shusen Cheng & Lifeng Zhang. (2022) Water modelling on particle dispersion during KR desulphurization process. Ironmaking & Steelmaking 49:7, pages 707-715.
Read now

Articles from other publishers (5)

Runhao Zhang, Jian Yang, Han Sun & Wenkui Yang. (2024) Prediction of lime utilization ratio of dephosphorization in BOF steelmaking based on online sequential extreme learning machine with forgetting mechanism. International Journal of Minerals, Metallurgy and Materials 31:3, pages 508-517.
Crossref
Runhao Zhang & Jian Yang. (2023) State of the art in applications of machine learning in steelmaking process modeling. International Journal of Minerals, Metallurgy and Materials 30:11, pages 2055-2075.
Crossref
Lingzhi Yang, Bo Li, Yufeng Guo, Shuai Wang, Botao Xue & Shaoyan Hu. (2022) Influence Factor Analysis and Prediction Model of End-Point Carbon Content Based on Artificial Neural Network in Electric Arc Furnace Steelmaking Process. Coatings 12:10, pages 1508.
Crossref
Miao Wang, Chuang Gao, Xingang Ai, Baopeng Zhai & Shengli Li. (2022) Hybrid End-Point Static Control Model for 80 Tons BOF Steelmaking. Transactions of the Indian Institute of Metals 75:9, pages 2281-2288.
Crossref
Ruibin Wang, Itishree Mohanty, Amiy Srivastava, Tapas Kumar Roy, Prakash Gupta & Kinnor Chattopadhyay. (2022) Hybrid Method for Endpoint Prediction in a Basic Oxygen Furnace. Metals 12:5, pages 801.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.