Dr. Jingshi Zhang | Kinetics in Steelmaking | Best Researcher Award
Lecturer at Changchun University of Technology | China
Dr. Jingshi Zhang is a dedicated metallurgical researcher and lecturer at Changchun University of Technology, recognized for his innovative work in steelmaking reaction kinetics and metal matrix composites. Trained under Prof. Miaoyong Zhu at Northeastern University, he has developed a strong foundation in computational modeling, materials behavior, and laser additive manufacturing. His publication record includes 12 papers, among which several are in high-impact journals such as Metallurgical and Materials Transactions B and Journal of Alloys and Compounds. His Scopus profile lists 6 documents, 1 citation, and an h-index of 1, illustrating his growing academic influence. Dr. Zhang has made significant advances in developing nano-TiB₂/AlSi10Mg composites using selective laser melting and constructing a metallurgical transport and reaction model to optimize dephosphorization processes in converters. His work contributes to improved understanding of microstructural strengthening mechanisms and process efficiency in metallurgical systems. With four patents filed, he demonstrates a strong focus on applied research and innovation. His collaborations, notably with Hong Kong City University, underscore his international engagement and commitment to advancing metallurgical process technology. Dr. Zhang’s scientific contributions and interdisciplinary research approach make him a strong candidate for the Best Researcher Award.
Profile : Scopus | ORCID
Featured Publications
Dai, J., Zhang, J., Fu, L., Zou, H., Zhu, W., Han, Y., & Ran, X. (2025). Control of microstructure and mechanical properties of nano-TiB₂ modified AlSi10Mg alloy by selective laser melting. Journal of Alloys and Compounds.
Wang, Z., Fu, L., Yang, Y., Zhang, J., Han, Y., & Ran, X. (2025). Selective Laser Melting of a Fe–Cr–Ni–Al–Mo Precipitation Hardening Stainless Steel: Process Parameter Optimization and Control of Microstructure and Properties. Steel Research International.
Zhang, J., Lou, W., & Zhu, M. (2023). Numerical Simulation of Particle Motion and Wall Scouring Behavior in Steelmaking Converter With Bottom Powder Injection. Metallurgical and Materials Transactions B, 54(12).
Zhang, J., Lou, W., & Zhu, M. (2023). Numerical Simulation of Particle Transport Phenomenon in Steelmaking Converter With Bottom Powder Injection Based on Eulerian-Multifluid VOF-Granular Flow Model. Metallurgical and Materials Transactions B, 54(6).
Zhang, J., Lou, W., Shao, P., & Zhu, M. (2022). Mathematical Simulation of Impact Cavity and Gas–Liquid Two-Phase Flow in Top–Bottom Blown Converter with Eulerian-Multifluid VOF Model. Metallurgical and Materials Transactions B, 53(12).