LAPSE:2023.35828
Published Article
LAPSE:2023.35828
A Comparative Study of the Performance of Different Particle Models in Simulating Particle Charging and Burden Distribution in a Blast Furnace within the DEM Framework
May 24, 2023
There has been growing interest in applying the DEM (discrete element method) to study the charging and burden distribution in a BF (blast furnace). In practice, the real particles in a BF are non-spherical. However, spherical particles have mostly been used in previous DEM investigations. Furthermore, various particle models have been developed to describe non-spherical particles. However, the effects of using different particle models on particle behavior in a BF are still unclear. Therefore, a comparative study of how the particle shape model impacts the burden charging in a BF was conducted. Specifically, the DEM using a multi-sphere model, polyhedral model, and super-ellipsoid model was first established. Then, experiments and DEM simulations of the charging and burden distribution of non-spherical quartz sand particles in a lab-scale bell-less top BF were performed. The results indicated that the number of sub-spheres, the principle of creating the particle for multi-spheres, the number of planes for polyhedrons, and the shape indices for super-ellipsoids could all affect the accuracy and efficiency. Moreover, applying the super-ellipsoid model and multi-sphere model could achieve reasonable accuracy and efficiency, with the highest simulation accuracy for the polyhedral model but at the cost of a rather heavy computational burden.
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Keywords
blast furnace, DEM, multi-sphere model, polyhedral model, super-ellipsoid model
Subject
Suggested Citation
Ma H, Xia X, Zhou L, Xu C, Liu Z, Song T, Zou G, Liu Y, Huang Z, Liao X, Zhao Y. A Comparative Study of the Performance of Different Particle Models in Simulating Particle Charging and Burden Distribution in a Blast Furnace within the DEM Framework. (2023). LAPSE:2023.35828
Author Affiliations
Ma H: Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou 310027, China
Xia X: Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou 310027, China
Zhou L: Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou 310027, China
Xu C: Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou 310027, China
Liu Z: Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou 310027, China
Song T: State Key Laboratory of Process Automation in Mining & Metallurgy, Beijing 100160, China; Beijing Key Laboratory of Process Automation in Mining & Metallurgy, Beijing 100160, China [ORCID]
Zou G: State Key Laboratory of Process Automation in Mining & Metallurgy, Beijing 100160, China; Beijing Key Laboratory of Process Automation in Mining & Metallurgy, Beijing 100160, China
Liu Y: Hangzhou Special Equipment Inspection and Research Institute, Hangzhou 310051, China
Huang Z: Hangzhou Special Equipment Inspection and Research Institute, Hangzhou 310051, China
Liao X: Hangzhou Special Equipment Inspection and Research Institute, Hangzhou 310051, China
Zhao Y: Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou 310027, China
Xia X: Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou 310027, China
Zhou L: Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou 310027, China
Xu C: Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou 310027, China
Liu Z: Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou 310027, China
Song T: State Key Laboratory of Process Automation in Mining & Metallurgy, Beijing 100160, China; Beijing Key Laboratory of Process Automation in Mining & Metallurgy, Beijing 100160, China [ORCID]
Zou G: State Key Laboratory of Process Automation in Mining & Metallurgy, Beijing 100160, China; Beijing Key Laboratory of Process Automation in Mining & Metallurgy, Beijing 100160, China
Liu Y: Hangzhou Special Equipment Inspection and Research Institute, Hangzhou 310051, China
Huang Z: Hangzhou Special Equipment Inspection and Research Institute, Hangzhou 310051, China
Liao X: Hangzhou Special Equipment Inspection and Research Institute, Hangzhou 310051, China
Zhao Y: Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou 310027, China
Journal Name
Energies
Volume
16
Issue
9
First Page
3890
Year
2023
Publication Date
2023-05-04
Published Version
ISSN
1996-1073
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Original Submission
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PII: en16093890, Publication Type: Journal Article
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LAPSE:2023.35828
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doi:10.3390/en16093890
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[v1] (Original Submission)
May 24, 2023
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May 24, 2023
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Original Submitter
Calvin Tsay
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