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Xiong Z, Xu J, Liu C. Interaction effects of inlet velocity and apex diameter on the separation performance of two-stage cone hydrocyclones. POWDER TECHNOL 2023. [DOI: 10.1016/j.powtec.2023.118446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
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2
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Dianyu E, Fan H, Su Z, Xu G, Zou R, Yu A, Kuang S. Numerical study of the multiphase flows and separation performance of hydrocyclone with tapered cross-section inlet. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.118208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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3
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Emerging application of hydrocyclone in biotechnology and food processing. Sep Purif Technol 2022. [DOI: 10.1016/j.seppur.2022.122992] [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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4
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Chu K, Chen Y, Ji L, Zhou Z, Yu A, Chen J. Coarse-grained CFD-DEM study of Gas-solid flow in gas cyclone. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2022.117906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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5
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Shi Q, Sakai M. Recent progress on the discrete element method simulations for powder transport systems: A review. ADV POWDER TECHNOL 2022. [DOI: 10.1016/j.apt.2022.103664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
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6
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Ye Q, Duan P, Kuang S, Ji L, Zou R, Yu A. Multi-objective optimization of hydrocyclone by combining mechanistic and data-driven models. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117674] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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7
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Ismail NI, Kuang S, Tang Y, Yu A. CFD-DEM evaluation of screen types for sand control applications. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117496] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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8
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9
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A particle location based multi-level coarse-graining technique for Discrete Element Method (DEM) simulation. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2021.117058] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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10
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Ji L, He L, Chu K, Kuang S. How Particles with Sizes Close to Cut Size Affect the Multiphase Flows and Performance of Hydrocyclones. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.1c03118] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Li Ji
- Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education, School of Mechanical Engineering, Shandong University, Jinan 250061, China
- National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan 250061, China
| | - Liqun He
- Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education, School of Mechanical Engineering, Shandong University, Jinan 250061, China
- National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan 250061, China
| | - Kaiwei Chu
- School of Qilu Transportation, Shandong University, Jinan 12550, China
| | - Shibo Kuang
- ARC Research Hub for Computational Particle Technology, Department of Chemical Engineering, Monash University, Clayton, Victoria 3800, Australia
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11
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Zhou M, Kuang S, Xiao F, Luo K, Yu A. CFD-DEM analysis of hydraulic conveying bends: Interaction between pipe orientation and flow regime. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2021.07.052] [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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12
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The effects of solid shear stress and wall roughness on the simulation of cylindrical hydrocyclone classification. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2021.07.061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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13
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Hou D, Cui B, Zhao Q, Wei D, Song Z, Feng Y. Research on the structure of the cylindrical hydrocyclone spigot to mitigate the misplacement of particles. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2021.04.013] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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14
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Mesgarpour M, Wongwises S, Alizadeh R, Mohammadiun H, Mohammadiun M. The comparative investigation of three approaches to modeling the natural convection heat transfer: A case studyon conical cavity filled with Al2O3 nanoparticles. J Taiwan Inst Chem Eng 2021. [DOI: 10.1016/j.jtice.2021.04.027] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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15
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Yu Y, Li Y, Chen X, Duan F, Zhou Q. Improvement of the Coarse-Grained Discrete Element Method for Frictional Particles. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.0c06340] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Yaxiong Yu
- School of Chemical Engineering and Technology, Xi’an Jiaotong University, Xi’an 710049, China
| | - Yu Li
- School of Chemical Engineering and Technology, Xi’an Jiaotong University, Xi’an 710049, China
| | - Xiao Chen
- School of Chemical Engineering and Technology, Xi’an Jiaotong University, Xi’an 710049, China
| | - Fan Duan
- School of Chemical Engineering and Technology, Xi’an Jiaotong University, Xi’an 710049, China
| | - Qiang Zhou
- School of Chemical Engineering and Technology, Xi’an Jiaotong University, Xi’an 710049, China
- State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China
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16
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Higgins H, Roeing-Donna M, Krupiarz K, O'Connor R, Tan J, Pohlman NA. Granular flow behavior in a conveyor system: From local velocity profiles to mass flow rates. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2020.12.062] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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17
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18
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Kuang S, Li K, Shrestha S, Yu A. Discrete particle simulation of heterogeneous gas-solid flows in riser and downer reactors. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2020.07.080] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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19
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Zhang Z, Liu Y, Zheng B, Sun P, Li R. Local Percolation of a Binary Particle Mixture in a Rectangular Hopper with Inclined Bottom during Discharging. ACS OMEGA 2020; 5:20773-20783. [PMID: 32875211 PMCID: PMC7450507 DOI: 10.1021/acsomega.0c01514] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Accepted: 07/24/2020] [Indexed: 06/11/2023]
Abstract
To reveal the local percolation characteristics of a binary particle mixture in a rectangular hopper with inclined bottom, the discrete element method (DEM) is used to simulate the discharging process. A local percolation evaluation method is proposed, and the percolation strength grid maps are drawn. The effects of geometric parameters, particle properties, and interaction parameters on percolation are investigated. Apart from the free surface, percolation is mainly concentrated near the wall and at the bottom. With the increase in the orifice width, the average local percolation strength index (ALPSI) of the near-wall region increases and that of the bottom region decreases. The effect of the angle on percolation in the near-wall region can be ignored. The effect of friction on local percolation is significant. Increasing the fine particle mass fraction and reducing the difference in particle size can effectively avoid percolation.
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Affiliation(s)
- Zhongliang Zhang
- School
of Energy and Power Engineering, University
of Shanghai for Science and Technology, Shanghai 200093, China
| | - Yongqi Liu
- School
of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255049, Shandong, China
| | - Bin Zheng
- School
of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255049, Shandong, China
| | - Peng Sun
- School
of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255049, Shandong, China
| | - Ruiyang Li
- School
of Energy and Power Engineering, University
of Shanghai for Science and Technology, Shanghai 200093, China
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21
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Jin R, Keshavarzian E, Dong K, Dong S, Wang B, Kwok K, Zhao M. Numerical study on the effect of the supersaturated vapor on the performance of a gas cyclone. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2019.09.096] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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22
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Kieckhefen P, Pietsch S, Dosta M, Heinrich S. Possibilities and Limits of Computational Fluid Dynamics-Discrete Element Method Simulations in Process Engineering: A Review of Recent Advancements and Future Trends. Annu Rev Chem Biomol Eng 2020; 11:397-422. [PMID: 32169000 DOI: 10.1146/annurev-chembioeng-110519-075414] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Fluid-solid systems play a major role in a wide variety of industries, from pharmaceutical and consumer goods to chemical plants and energy generation. Along with this variety of fields comes a diversity in apparatuses and applications, most prominently fluidized and spouted beds, granulators and mixers, pneumatic conveying, drying, agglomeration, coating, and combustion. The most promising approach for modeling the flow in these systems is the CFD-DEM method, coupling computational fluid dynamics (CFD) for the fluid phase and the discrete element method (DEM) for the particles. This article reviews the progress in modeling particle-fluid flows with the CFD-DEM method. A brief overview of the basic method as well as methodical extensions of it are given. Recent applications of this simulation approach to separation and classification units, fluidized beds for both particle formation and energy conversion, comminution units, filtration, and bioreactors are reviewed. Future trends are identified and discussed regarding their viability.
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Affiliation(s)
- Paul Kieckhefen
- Institute of Solids Process Engineering and Particle Technology, Hamburg University of Technology, 21073 Hamburg, Germany;
| | - Swantje Pietsch
- Institute of Solids Process Engineering and Particle Technology, Hamburg University of Technology, 21073 Hamburg, Germany;
| | - Maksym Dosta
- Institute of Solids Process Engineering and Particle Technology, Hamburg University of Technology, 21073 Hamburg, Germany;
| | - Stefan Heinrich
- Institute of Solids Process Engineering and Particle Technology, Hamburg University of Technology, 21073 Hamburg, Germany;
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23
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Chen M, Lu H, Jin Y, Guo X, Gong X, Liu H. Experimental and numerical study on gas-solid two-phase flow through regulating valve of pulverized coal flow. Chem Eng Res Des 2020. [DOI: 10.1016/j.cherd.2019.12.021] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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24
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Trends in Modeling, Design, and Optimization of Multiphase Systems in Minerals Processing. MINERALS 2019. [DOI: 10.3390/min10010022] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Multiphase systems are important in minerals processing, and usually include solid–solid and solid–fluid systems, such as in wet grinding, flotation, dewatering, and magnetic separation, among several other unit operations. In this paper, the current trends in the process system engineering tasks of modeling, design, and optimization in multiphase systems, are analyzed. Different scales of size and time are included, and therefore, the analysis includes modeling at the molecular level (molecular dynamic modeling) and unit operation level (e.g., computational fluid dynamic, CFD), and the application of optimization for the design of a plant. New strategies for the modeling, design, and optimization of multiphase systems are also included, with a strong focus on the application of artificial intelligence (AI) and the combination of experimentation and modeling with response surface methodology (RSM). The integration of different modeling techniques such as CFD with discrete element simulation (DEM) and response surface methodology (RSM) with artificial neural networks (ANN) is included. The paper finishes with tools to study the uncertainty, both epistemic and stochastic, based on uncertainty and global sensitivity analyses, which is present in all mineral processing operations. It is shown that all of these areas are very active and can help in the understanding, operation, design, and optimization of mineral processing that involves multiphase systems. Future needs, such as meso-scale modeling, are highlighted.
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25
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Lu L, Gao X, Shahnam M, Rogers WA. Coarse grained computational fluid dynamic simulation of sands and biomass fluidization with a hybrid drag. AIChE J 2019. [DOI: 10.1002/aic.16867] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Liqiang Lu
- National Energy Technology Laboratory Morgantown West Virginia
- West Virginia University Research Corporation Morgantown West Virginia
| | - Xi Gao
- National Energy Technology Laboratory Morgantown West Virginia
| | - Mehrdad Shahnam
- National Energy Technology Laboratory Morgantown West Virginia
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26
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Ye J, Xu Y, Song X, Yu J. Numerical modelling and multi-objective optimization of the novel hydrocyclone for ultra-fine particles classification. Chem Eng Sci 2019. [DOI: 10.1016/j.ces.2019.07.031] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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27
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Ji L, Kuang S, Yu A. Numerical Investigation of Hydrocyclone Feed Inlet Configurations for Mitigating Particle Misplacement. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.9b01203] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Li Ji
- ARC Research Hub for Computational Particle Technology, Department of Chemical Engineering, Monash University, Melbourne, VIC 3800, Australia
| | - Shibo Kuang
- ARC Research Hub for Computational Particle Technology, Department of Chemical Engineering, Monash University, Melbourne, VIC 3800, Australia
| | - Aibing Yu
- ARC Research Hub for Computational Particle Technology, Department of Chemical Engineering, Monash University, Melbourne, VIC 3800, Australia
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28
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Miao Z, Kuang S, Zughbi H, Yu A. CFD simulation of dilute-phase pneumatic conveying of powders. POWDER TECHNOL 2019. [DOI: 10.1016/j.powtec.2019.03.031] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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