Xiaobo Zhang

Dr. Xiaobo Zhang


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 May 2021 in Metallurgical and Materials Transactions B
Verified
Journal Article
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XZXiaobo Zhang
Xiaobo Zhang
Chengjun LiuChengjun Liu
Chengjun Liu
MJMaofa Jiang
Maofa Jiang

17 June 2022 in Journal of Sustainable Metallurgy
Verified
Journal Article
Closed access
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XZXiang Zheng
Xiang Zheng
Chengjun LiuChengjun Liu
Chengjun Liu
JQJie Qi
Jie Qi
JSJiali Sun
Jiali Sun
XZXiaobo Zhang
Xiaobo Zhang

26 July 2022 in Metals
Verified
Journal Article
Open access
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XZXiaobo Zhang
Xiaobo Zhang
Chengjun LiuChengjun Liu
Chengjun Liu
MJMaofa Jiang
Maofa Jiang
The effect of the addition of B2O3 and the CaO/Al2O3 ratios on the CaO–Al2O3–B2O3 melts’ structure was fully analyzed by molecular dynamics (MD) simulations. The results show that, with the increase in CaO/Al2O3 ratios, the charge compensation for [AlO4]5− tetrahedron changed from the oxygen tricluster structure to the charge provided by Ca2+, and the structure of [AlO4]5− tetrahedron was stabilized. The addition of B2O3 reduced the degree of polymerization of the aluminate melt, which, in turn, lowered the melt viscosity; in the systems with CaO/Al2O3 mole ratio less than 1, the added B2O3 mainly existed in the form of [BO3]3−, which reduced the symmetry and the strength of the melt network structures; in the higher CaO/Al2O3 ratio systems, the depolymerization ability of the addition of B2O3 on aluminate network structures was enhanced with the increase in CaO/Al2O3 ratios, and the overall degree of polymerization of the melt decreased. The viscosity measurement shows that B2O3 lowers the viscosity of CaO–Al2O3 melts, which was consistent with the results predicted by MD simulations.


9 December 2025 in Processes
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Journal Article
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XZXiaobo Zhang
Xiaobo Zhang
YTYong Tian
Yong Tian
Chengjun LiuChengjun Liu
Chengjun Liu
FJFeng Jiang
Feng Jiang
YHYan Huang
Yan Huang
The effects of Ce2O3 and CaF2 on the microstructure of silicate-based mold flux were investigated using an integrated approach combining molecular dynamics (MD) simulations with viscosity testing, SEM-EDS, and XRD analysis. The structural origin of changes in viscosity and crystallization behavior was revealed. It was found that the joint addition of CaF2 and Ce2O3 to the silicate melt leads to a synergistic effect; CaF2 acts as a diluent within the silicate network, while O2− introduced by Ce2O3 promotes the depolymerization of the complex [SiO4]4− network. As a result, highly polymerized structural units (Q2, Q3, and Q4) transform into less polymerized ones (Q0 and Q1), reducing the overall degree of polymerization and enhancing slag fluidity. Moreover, the preferential formation of [SiO4]4−–Ce3+–F− and [SiO4]4−–Ca2+–F− coordination structures replaces the original [SiO4]4−–Ce3+ and [SiO4]4−–Ca2+ linkages. This structural rearrangement facilitates the formation of low-melting-point phases during cooling, thereby suppressing the crystallization tendency and improving the stability of viscous properties of the mold flux. These findings provide theoretical insight for the design of high-performance fluxes used in rare earth-containing steel continuous casting.

20 June 2026 in Processes
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Journal Article
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SGShanchao Gao
Shanchao Gao
XGXu Geng
Xu Geng
XZXiaobo Zhang
Xiaobo Zhang
ZJZhe Jiang
Zhe Jiang
ZZZhenghong Zhao
Zhenghong Zhao
YZYanhui Zhang
Yanhui Zhang
Blast furnace (BF) ironmaking is a complex multiphase process involving gas–solid flow, heat transfer, chemical reactions, burden movement, and phase transformation under high-temperature conditions. Since many internal states of the blast furnace cannot be directly observed during operation, numerical simulation and mathematical modeling have become important tools for understanding furnace behavior and optimizing operational parameters. This paper reviews recent advances in blast furnace numerical simulation and internal state reconstruction methods. Existing approaches, including packed-bed flow models, cohesive zone reconstruction methods, burden distribution models, and temperature field prediction methods, are summarized and discussed. In addition, the evolution of blast furnace mathematical models from early one-dimensional steady-state formulations to modern three-dimensional multifluid and hybrid simulation approaches is reviewed. Recent developments in computational fluid dynamics (CFD), the discrete element method (DEM), digital twin, and data-driven modeling are also discussed. Compared with traditional simplified models, modern multidimensional and hybrid approaches show improved capability in describing asymmetric furnace inner states, multiphase transport behavior, and operational parameter effects under industrial conditions. However, challenges still remain in achieving computational efficiency, parameter calibration, multiphase coupling, and real-time industrial application. Future studies are expected to focus on the integration of mechanism-based simulation and intelligent data-driven methods to improve prediction accuracy, operational adaptability, and intelligent control capability in blast furnace ironmaking.