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Prediction of separation efficiency in gas cyclones based on RSM and GA-BP: Effect of geometry designs. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.118185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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Sung WC, Chung SW, Kim JY, Lee DH. CPFD
simulation on angle of repose with hopper geometries and particle properties. CAN J CHEM ENG 2022. [DOI: 10.1002/cjce.24551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Woo Chang Sung
- School of Chemical Engineering Sungkyunkwan University Suwon Gyeonggi‐do Republic of Korea
| | - Seok Woo Chung
- Institute for Advanced Engineering Yongin Gyeonggi‐do Republic of Korea
| | - Jun Young Kim
- School of Chemical Engineering Sungkyunkwan University Suwon Gyeonggi‐do Republic of Korea
- Institute of Convergent Chemical Engineering and Technology Sungkyunkwan University Suwon Gyeonggi‐do Republic of Korea
| | - Dong Hyun Lee
- School of Chemical Engineering Sungkyunkwan University Suwon Gyeonggi‐do Republic of Korea
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Liu Y, Shi X, Wu Y, Wang C, Gao J, Lan X. CPFD simulation of cluster effect on mass transfer and reaction in downer with FCC particles. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Guo L, Zhong W, Zhou Z. Preface for the virtual special issue: Computational particle technology. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2021.01.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Xiao H, Zhang Y, Wang J. Virtual error quantification of cross-correlation algorithm for solids velocity measurement in different gas fluidization regimes. Chem Eng Sci 2021. [DOI: 10.1016/j.ces.2021.117013] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Timsina R, Thapa RK, Moldestad BM, Eikeland MS. Computational particle fluid dynamics simulation of biomass gasification in an entrained flow gasifier. CHEMICAL ENGINEERING SCIENCE: X 2021. [DOI: 10.1016/j.cesx.2021.100112] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Córcoles J, Acosta-Iborra A, Almendros-Ibáñez J, Sobrino C. Numerical simulation of a 3-D gas-solid fluidized bed: Comparison of TFM and CPFD numerical approaches and experimental validation. ADV POWDER TECHNOL 2021. [DOI: 10.1016/j.apt.2021.08.029] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Pan X, Lian W, Yang J, Zhang Z, Hao X, Fushimi C, Guan G. Simulation of gas-solid flow behavior in downers using a new drag model based on the spatial superposition assumption. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2020.06.090] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Abstract
This review covers the scope of multiscale computational fluid dynamics (CFD), laying the framework for studying hydrodynamics with and without chemical reactions in single and multiple phases regarded as continuum fluids. The molecular, coarse-grained particle, and meso-scale dynamics at the individual scale are excluded in this review. Scoping single-scale Eulerian CFD approaches, the necessity of multiscale CFD is highlighted. First, the Eulerian CFD theory, including the governing and turbulence equations, is described for single and multiple phases. The Reynolds-averaged Navier–Stokes (RANS)-based turbulence model such as the standard k-ε equation is briefly presented, which is commonly used for industrial flow conditions. Following the general CFD theories based on the first-principle laws, a multiscale CFD strategy interacting between micro- and macroscale domains is introduced. Next, the applications of single-scale CFD are presented for chemical and biological processes such as gas distributors, combustors, gas storage tanks, bioreactors, fuel cells, random- and structured-packing columns, gas-liquid bubble columns, and gas-solid and gas-liquid-solid fluidized beds. Several multiscale simulations coupled with Eulerian CFD are reported, focusing on the coupling strategy between two scales. Finally, challenges to multiscale CFD simulations are discussed. The need for experimental validation of CFD results is also presented to lay the groundwork for digital twins supported by CFD. This review culminates in conclusions and perspectives of multiscale CFD.
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3D CPFD Simulation of Circulating Fluidized Bed Downer and Riser: Comparisons of Flow Structure and Solids Back-Mixing Behavior. Processes (Basel) 2020. [DOI: 10.3390/pr8020161] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
The difference of gas-solids flow between a circulating fluidized bed (CFB) downer and riser was compared by computational particle fluid dynamics (CPFD) approach. The comparison was conducted under the same operating conditions. Simulation results demonstrated that the downer showed much more uniform solids holdup and solids velocity distribution compared with the riser. The radial non-uniformity index of the solids holdup in the riser was over 10 times than that in the downer. In addition, small clusters tended to be present in the whole downer, large clusters tended to be present near the wall in riser. It was found that the different cluster behavior is important in determining the different flow behaviors of solids in the downer and riser. While the particle residence time increased evenly along the downward direction in the downer, particles with both shorter and longer residence time were predicted in the whole riser. The nearly vertical cumulative residence time distribution (RTD) curve in the downer further demonstrated that the solids back-mixing in the downer is limited while that in the riser is severe. Solids turbulence in the downer was much weaker compared with the riser, while the large clusters formation near the wall in the riser would hinder solids transportation ability.
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