Jiangshan Zhang

ORCID: 0000-0003-1815-5185
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Research Areas
  • Metallurgical Processes and Thermodynamics
  • Iron and Steelmaking Processes
  • Solidification and crystal growth phenomena
  • Metallurgy and Material Forming
  • Aluminum Alloys Composites Properties
  • Aluminum Alloy Microstructure Properties
  • Mineral Processing and Grinding
  • Metal and Thin Film Mechanics
  • Fluid Dynamics and Mixing
  • Cyclone Separators and Fluid Dynamics
  • High Temperature Alloys and Creep
  • Additive Manufacturing Materials and Processes

University of Science and Technology Beijing
2024-2025

Accurate prediction of alloying element yield has a significant impact on steel product quality, production costs, and refining efficiency. In this study, the stacking ensemble learning SHapley Additive exPlanations (SHAP) analysis are utilized, along with Bayesian optimization, to develop high‐precision explainable model for yield. Different evaluation criterion is applied compare other existing models. The findings indicate that outperforms models in predicting yield, achieving accuracy...

10.1002/srin.202500040 article EN steel research international 2025-03-21

As the cornerstone of industrial civilization, metallurgical engineering has consistently driven materials innovation and advanced manufacturing technologies [...]

10.3390/ma18092037 article EN Materials 2025-04-29

Effective control of intense turbulence is a crucial challenge for achieving steady production with ultra-high casting speed in thin slab continuous casting. In process, specially designed multi-port submerged entry nozzle (SEN) four outlets utilised to ensure an ample supply molten steel, necessitating the selection and optimisation suitable Electromagnetic Braking (EMBr) equipment steel jet control. This study established comprehensive three-dimensional model funnel-type mould, employing...

10.1177/03019233241276912 article EN Ironmaking & Steelmaking Processes Products and Applications 2024-09-05

Metallurgical reactors, especially in ironmaking/steelmaking process, characterise with high-temperature turbulence, multiphase flow, mass/heat transfer and reactions. Computational fluid dynamics (CFD) simulation-based design optimisation are of significance for efficient metallurgical performance. However, the difficulty cost to numerically solve nonlinear controlling equations combined data pre/post-processing make whole CFD simulation process time-consuming, which makes it challenging...

10.1177/03019233241278460 article EN Ironmaking & Steelmaking Processes Products and Applications 2024-09-10

Flat nozzles are widely used in the continuous casting process due to their stable spraying effect, wide area, and strong applicability. The type arrangement of have a direct effect on cooling efficiency blank quality. Herein, spray characteristics flat slab investigated with detecting apparatus developed by University Science Technology Beijing Jiangsu Boji Company (named USTB‐BOJI DA), prediction model for water flux distribution under different nozzle arrangements is established. results...

10.1002/srin.202400738 article EN steel research international 2024-11-25

Abstract Fluid flow plays a significant role in the continuous casting of molten steel. In this paper, two Reynolds Averaged Naiver-Stokes (RANS) models and Large Eddy Simulation (LES) model were comparatively employed to characterize fluid inside dissipative ladle shroud tundish. LES was proved be powerful turbulence structure shroud. The effect meshing density on computational accuracy considered using model. fine-mesh can capture multiscale vortices shroud; while, coarse-mesh disables...

10.1088/1757-899x/668/1/012007 article EN IOP Conference Series Materials Science and Engineering 2019-11-01
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