LAPSE:2023.36164
Published Article
LAPSE:2023.36164
Mixing Transport Mechanism of Three-Phase Particle Flow Based on CFD-DEM Coupling
Man Ge, Juntong Chen, Longyun Zhao, Gaoan Zheng
July 4, 2023
The mixing transport courses of three-phase particle flows exist in some industrial applications, such as metallurgy material extraction, lithium electric slurry dispersion, and material mixing in the high-end chemical industry. Its mixing transport mechanism is a fluid−structure coupling dynamic issues with intensive shear and nonlinear characteristics, making the real-time prediction of the flow field face challenges. To address the above problem, a bidirectional fluid−structure coupling three-phase particle flow dynamic model is built based on the coupled computational fluid dynamics and discrete element model (CFD-DEM) to explore the mixing transport mechanism. An interphase coupling solution method is utilized to solve the interaction effects of the fluid and particle. Research results illustrate that the proposed method modeling can well reveal the mixing transport mechanism of the three-phase particle flows. Due to the additive effects of stirring speed, stirring blade size, and stirring blade structure, the flow field near the blade has a high-velocity gradient change, while the flow field away from the stirring blade has no significant change. When the particle material settles and accumulates to a certain extent, the particle movement is blocked, and the stirring speed of the particle material near the blade is reduced. The mixing effect of the particle material will be reduced near the wall. It can provide a valuable reference for particle flow transport and pattern identification and support technical support for lithium electric homogenate mixing, chemical extraction, and pharmacy process regulation.
Keywords
CFD-DEM coupling, lithium electric homogenate mixing, mixing transport, three-phase particle flow
Suggested Citation
Ge M, Chen J, Zhao L, Zheng G. Mixing Transport Mechanism of Three-Phase Particle Flow Based on CFD-DEM Coupling. (2023). LAPSE:2023.36164
Author Affiliations
Ge M: Special Equipment Institute, Hangzhou Vocational and Technical College, Hangzhou 310018, China
Chen J: Special Equipment Institute, Hangzhou Vocational and Technical College, Hangzhou 310018, China
Zhao L: Special Equipment Institute, Hangzhou Vocational and Technical College, Hangzhou 310018, China
Zheng G: College of Mechanical and Automotive Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China
Journal Name
Processes
Volume
11
Issue
6
First Page
1619
Year
2023
Publication Date
2023-05-25
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr11061619, Publication Type: Journal Article
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LAPSE:2023.36164
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doi:10.3390/pr11061619
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Jul 4, 2023
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CC BY 4.0
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[v1] (Original Submission)
Jul 4, 2023
 
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Jul 4, 2023
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Original Submitter
Calvin Tsay
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