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For: Zhu L, Chen X, Luo Z. Analysis and development of homogeneous drag closure for filtered mesoscale modeling of fluidized gas-particle flows. Chem Eng Sci 2021;229:116147. [DOI: 10.1016/j.ces.2020.116147] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Number Cited by Other Article(s)
1
Ma L, Kashanj S, Li X, Xu S, Nobes DS, Ye M. Experimental investigation of fluid flow around a porous cube for Reynolds numbers of 400∼1400. Chem Eng Sci 2023. [DOI: 10.1016/j.ces.2022.118443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
2
Milioli CC, Milioli FE. A scale sensitive filtered sub-grid drag model for fluidized gas-particle flows. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2022.118266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
3
Ouyang B, Zhu LT, Luo ZH. Machine learning for full spatiotemporal acceleration of gas-particle flow simulations. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117701] [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]
4
Zhu LT, Chen XZ, Ouyang B, Yan WC, Lei H, Chen Z, Luo ZH. Review of Machine Learning for Hydrodynamics, Transport, and Reactions in Multiphase Flows and Reactors. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c01036] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
5
Liao J, Zhu L, Luo Z. Heterogeneity analysis of gas–solid flow hydrodynamics in a pilot-scale fluidized bed reactor. Chin J Chem Eng 2022. [DOI: 10.1016/j.cjche.2022.07.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
6
Using mesoscale drag model-augmented coarse-grid simulation to design fluidized bed reactor: Effect of bed internals and sizes. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2022.117547] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
7
Napolitano ES, Di Renzo A, Di Maio FP. Coarse-grain DEM-CFD modelling of dense particle flow in Gas–Solid cyclone. Sep Purif Technol 2022. [DOI: 10.1016/j.seppur.2022.120591] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
8
Tu Q, Wang H, Ocone R. Application of three-dimensional full-loop CFD simulation in circulating fluidized bed combustion reactors – A review. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117181] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
9
Ouyang B, Zhu LT, Su YH, Luo ZH. A hybrid mesoscale closure combining CFD and deep learning for coarse-grid prediction of gas-particle flow dynamics. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2021.117268] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
10
A scale-independent modeling method for filtered drag in fluidized gas-particle flows. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2021.08.092] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
11
Zhu L, Ouyang B, Lei H, Luo Z. Conventional and data‐driven modeling of filtered drag, heat transfer, and reaction rate in gas–particle flows. AIChE J 2021. [DOI: 10.1002/aic.17299] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
12
Li JS, Zhu LT, Yan WC, Rashid TAB, Xu QJ, Luo ZH. Coarse-grid simulations of full-loop gas-solid flows using a hybrid drag model: Investigations on turbulence models. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2020.10.052] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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