The steel production process is a multiphase and multiscale metallurgical process involving complex physical behavior and chemical reactions at high temperatures. The movement of high-temperature melts closely affects the cleanliness, homogenization, and refinement of high-quality steel. However, the data that can be measured in the industry are limited, and the accuracy is difficult to guarantee, while the cost is huge. In addition, cold model experiments are difficult to completely reproduce the complex physicochemical reactions, solidifications, phase transitions, and other phenomena of the entire metallurgical process. With the development of computer technology and numerical methods, the Computational Fluid Dynamics (CFD) method has become extremely important in the steel metallurgy process. The macroscopic multiphase flow state of high-temperature melts and microscopic solidification structure evolution can be reproduced through the numerical simulation study on complex metallurgical processes, which can help reveal the essence of the metallurgical process. And it can greatly help optimize engineering design and process parameters and promote the development of new metallurgical processes and new products.

To present and summarize state-of-the-art studies on new advances of new theories and models in numerical simulations of metallurgical processes, the Journal of Iron and Steel Research International plans to organize a Special Issue on "Numerical Simulation of Multiphase and Multiscale Metallurgical Processes" in 2023. Associate Professor Zhong-qiu Liu, Professor Pei-yuan Ni from Northeastern University, and Associate Professor Jun Li from Shanghai Jiao Tong University are invited as Guest Editors for this Special Issue. It is our pleasure to invite you to submit original contributions to this Special Issue. Articles that include but are not limited to the following topics are welcome.

·Steel-making technology

·Continuous casting technology  

·Casting technology  

·Vacuum induction melting technology  

·Electroslag remelting technology  

·Vacuum arc remelting technology 

·External field technology

·Additive manufacturing technology

·Machine learning technology

·New technologies and theories of other metallurgical processes

This special issue accepts both original research papers and review papers. All submissions will be subjected to standard peer review procedures.

Notes for submission:

(1) Submission Deadline: December 31, 2022.

(2) The submitted manuscript must meet the requirements of “Instruction for Authors” and “Guide for the Preparation of a Manuscript” of the Journal of Iron and Steel Research International.

(3) Please use the online submission system of the Journal of Iron and Steel Research International (website: www.editorialmanager.com/isri) to submit the full text, and please indicate “Numerical Simulation of Multiphase and Multiscale Metallurgical Processes” at the end of the title.

If you have any questions on the operation of electronic submission, please get in touch with the Editorial group. (E-mail: gtyjxb-e@163.com; TEL: +86-10-62182295)

Schedule for issue:

Journal of Iron and Steel Research International, 2023, Vol. 30, No. 6 (June 2023).

Guest Editors:

(1) Zhong-qiu Liu, School of Metallurgy, NEU

Zhong-qiu Liu, associate professor and doctoral supervisor at Northeastern University, has engaged in research on steel continuous casting technology and modeling. He has published more than 70 SCI-indexed papers in authoritative journals in this field and won 1 provincial and ministerial-level award.

(2) Jun Li, School of Materials Science and Engineering, SJTU

Jun Li, associate professor and doctoral supervisor at Shanghai Jiao Tong University. He was awarded Shanghai Pujiang talent, has been engaged in numerical simulation and control research of metal solidification process for a long time, has published more than 70 SCI-indexed papers in Acta Materialia and other well-known international journals in this field, and authorized 3 software copyrights.

(3) Pei-yuan Ni, School of Metallurgy, NEU

Pei-yuan Ni, professor and doctoral supervisor at Northeastern University. His research interests include numerical simulation of metallurgical processes, advanced lubricating and functional oxide materials, multiphase interface science, metallurgical big data, etc. He has published 50 academic papers and applied for 9 national invention patents with 3 patents authorized.