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Xie L, Zhou G, Wang D, Wang H, Jiang C. Machine Learning and Data-Driven Modeling to Discover the Bed Expansion Ratio Correlation for Gas–Liquid–Solid Three-Phase Flows. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c03668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Affiliation(s)
- Le Xie
- College of Chemistry and Chemical Engineering, Central South University, Changsha410083, Hunan, China
| | - Guangming Zhou
- College of Chemistry and Chemical Engineering, Central South University, Changsha410083, Hunan, China
| | - Dongdong Wang
- Civil Aviation University of China, Tianjin300300, China
| | - Huaifa Wang
- College of Mining Engineering, Taiyuan University of Technology, Taiyuan030024, Shanxi, China
| | - Chongwen Jiang
- College of Chemistry and Chemical Engineering, Central South University, Changsha410083, Hunan, China
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2
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On the differences between periodic domain and fluidized bed. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2022.118395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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3
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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]
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4
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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: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Li-Tao Zhu
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China
| | - Xi-Zhong Chen
- Department of Chemical and Biological Engineering, University of Sheffield, Sheffield, S1 3JD, U.K
| | - Bo Ouyang
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China
| | - Wei-Cheng Yan
- School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
| | - He Lei
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China
| | - Zhe Chen
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China
| | - Zheng-Hong Luo
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China
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Let S, Bar N, Basu RK, Das SK. Bed expansion of binary mixtures of irregular particles in solid‐liquid fluidization: Experimental, Empirical correlation and
GA‐ANN
modelling. CAN J CHEM ENG 2022. [DOI: 10.1002/cjce.24545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Sudipta Let
- Department of Chemical Engineering University of Calcutta 92, A. P. C. Road Kolkata India
| | - Nirjhar Bar
- Department of Chemical Engineering University of Calcutta 92, A. P. C. Road Kolkata India
| | - Ranjan Kumar Basu
- Department of Chemical Engineering University of Calcutta 92, A. P. C. Road Kolkata India
| | - Sudip Kumar Das
- Department of Chemical Engineering University of Calcutta 92, A. P. C. Road Kolkata India
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6
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Machine learning-aided optimization of coal decoupling combustion for lowering NO and CO emissions simultaneously. Comput Chem Eng 2022. [DOI: 10.1016/j.compchemeng.2022.107822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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7
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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: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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8
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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: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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9
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A dynamic multiphase turbulence model for coarse-grid simulations of fluidized gas-particle suspensions. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2021.117104] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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