1
|
Kilikevičienė K, Kačianauskas R, Rimša V, Kilikevičius A. Agglomeration of particulate matter in chimneys using acoustic flow. Heliyon 2024; 10:e25306. [PMID: 38327408 PMCID: PMC10847651 DOI: 10.1016/j.heliyon.2024.e25306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 01/18/2024] [Accepted: 01/24/2024] [Indexed: 02/09/2024] Open
Abstract
The emission of micrometer-sized particulate matter on an industrial scale is causing increasing environmental concern about air pollution. Numerous industries and research communities need help to reduce micrometer-sized pollutants in the atmosphere. The current research investigates the acoustic agglomeration of particulate matter through a combination of experimental and numerical methods. Acoustic agglomeration is a process that involves using acoustic waves to influence the movement of particles in the air. Acoustic agglomeration operates by facilitating particle collision and simplifying the formation of agglomerates that are later removed through filtration. This article is focused on research on acoustic pre-processing with the aim of reducing atmospheric pollution caused by toxic combustion products. The capture of fine silica particles with diameters ranging from 0.3 to 10 μm, emitted through the chimneys of industrial enterprises, can be considered a significant technological innovation. The experimental part of the current research is conducted using a newly developed experimental bench. The assembly comprises the following key components: a wind tunnel, a particle dosing device, the agglomeration camera, and a particle concentration measurement device on the edge of the bench. A loudspeaker was used to evaluate the effect of sound pressure in the frequency range of 500-3000 Hz. A comprehensive CFD study of the particles was conducted, which included analysis of the boundary layer, facilitating a better understanding of the behavior of the particles and its potential to agglomerate. An experimental study of particle agglomeration, using an acoustic field with a frequency range of 500-3000 Hz, demonstrated the effectiveness of particle agglomeration of different diameters. The efficacy of particle agglomeration is up to 80 % when the sound pressure values were 129-135 dB; the highest efficiency was found at excitation frequencies of 1500 and 3000 Hz, respectively.
Collapse
Affiliation(s)
- Kristina Kilikevičienė
- Institute of Mechanical Science, Vilnius Gediminas Technical University, Vilnius, Lithuania
| | - Rimantas Kačianauskas
- Institute of Mechanical Science, Vilnius Gediminas Technical University, Vilnius, Lithuania
| | - Vytautas Rimša
- Department of Aviation Technologies, Vilnius Gediminas Technical University, Vilnius, Lithuania
| | - Artūras Kilikevičius
- Institute of Mechanical Science, Vilnius Gediminas Technical University, Vilnius, Lithuania
| |
Collapse
|
2
|
Simulations of high-pressure fluid flow in a pre-cracked rock specimen composed of densely packed bonded spheres using a 3D CFD model and simplified 2D coupled CFD-DEM approach. POWDER TECHNOL 2023. [DOI: 10.1016/j.powtec.2023.118238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
|
3
|
Shi K, He M, Zhang L, Zhao B, Wang J. Critical comparison of polydisperse kinetic theories using bidisperse DEM data. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2022.118062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
|
4
|
Tiwari SS, Ghatage SV, Joshi JB, Kong B. Segregation and intermixing in polydisperse liquid–solid fluidized beds: A multifluid model validation study. AIChE J 2022. [DOI: 10.1002/aic.17725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Shashank S. Tiwari
- Department of Chemical Engineering Guangdong Technion‐Israel Institute of Technology Shantou Guangdong China
- Department of Chemical Engineering Institute of Chemical Technology Matunga Mumbai India
| | | | - Jyeshtharaj B. Joshi
- Department of Chemical Engineering Institute of Chemical Technology Matunga Mumbai India
- Homi Bhabha National Institute Anushaktinagar Mumbai India
| | - Bo Kong
- Department of Chemical Engineering Guangdong Technion‐Israel Institute of Technology Shantou Guangdong China
| |
Collapse
|
5
|
A Comparative Study of Models for Heat Transfer in Bidisperse Gas–Solid Systems via CFD–DEM Simulations. AXIOMS 2022. [DOI: 10.3390/axioms11040179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
In this study, flow and heat transfers in bidisperse gas–solid systems were numerically investigated using the computational fluid dynamics–discrete element method (CFD–DEM). Three different models to close the gas–solid heat transfer coefficient for each species of bidisperse systems were compared in the simulations. The effect of the particle diameter ratio and particle number ratio between large and small particles on the particle mean temperature and temperature distribution of each species were systematically investigated. The simulation results show that differences in the particle mean temperature and temperature distribution profiles exist among the three heat transfer models at a higher particle number ratio. The differences between the effects of three heat transfer models on heat transfer properties in bidisperse systems with particle diameter ratios of up to 4 are marginal when the particle number ratio between small and large particles is 1.
Collapse
|
6
|
Drag coefficient modification for proppant transport in fractures considering wall retardation. Chem Eng Res Des 2022. [DOI: 10.1016/j.cherd.2021.12.038] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
|
7
|
CFD-DEM modeling of filtered fluid-particle drag and heat transfer in bidisperse gas-solid flows. Chem Eng Sci 2021. [DOI: 10.1016/j.ces.2021.116896] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
|
8
|
Xie Z, Wang S, Shen Y. CFD-DEM study of segregation and mixing characteristics under a bi-disperse solid-liquid fluidised bed. ADV POWDER TECHNOL 2021. [DOI: 10.1016/j.apt.2021.09.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
|
9
|
DEM-CFD modeling and simulations of hydrodynamic characteristics and flow resistance coefficient in fixed-bed reactors. CHEMICAL ENGINEERING JOURNAL ADVANCES 2021. [DOI: 10.1016/j.ceja.2021.100167] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
|
10
|
Huang Z, Wang L, Li Y, Zhou Q. Direct numerical simulation of flow and heat transfer in bidisperse gas-solid systems. Chem Eng Sci 2021. [DOI: 10.1016/j.ces.2021.116645] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
|
11
|
Norouzi HR, Golshan S, Zarghami R. On the drag force closures for multiphase flow modeling. CHEMICAL PRODUCT AND PROCESS MODELING 2021. [DOI: 10.1515/cppm-2020-0103] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Abstract
Drag force models are one of the most important factors that can affect TFM and CFD-DEM simulation results of two-phase systems. This article investigates the accuracies, implementation issues and limitations of the majority of the drag models for spherical, non-spherical and systems with size distribution and evaluates their performance in various simulations. Around 1888 data points were collected from 19 different sources to evaluate the drag force closures on mono-dispersed spherical particles. The Reynolds number and fluid volume fraction ranges were between 0.01 and 10,000 and between 0.33 and 1, respectively. In addition, 776 data points were collected from seven different sources to evaluate the drag force closures on poly-dispersed spherical particles. The Reynolds numbers were between 0.01 and 500, fluid volume fractions between 0.33 and 0.9, and diameter ratios up to 10. A comprehensive discussion on the accuracy and application of these models is given in the article.
Collapse
Affiliation(s)
- Hamid Reza Norouzi
- Department of Chemical Engineering , Center of Engineering and Multiscale Modeling of Fluid Flow (CEMF), Amirkabir University of Technology , PO Box: 15875-4413, Hafez 424 , Tehran , Iran
| | - Shahab Golshan
- Process Design and Simulation Research Center , School of Chemical Engineering, College of Engineering, University of Tehran , P.O. Box 11155-4563 , Tehran , Iran
| | - Reza Zarghami
- Process Design and Simulation Research Center , School of Chemical Engineering, College of Engineering, University of Tehran , P.O. Box 11155-4563 , Tehran , Iran
| |
Collapse
|
12
|
Zhang S, Wen Z, Liu X, Liu X, Wang S, Zhang H. Experimental study on the permeability and resistance characteristics in the packed bed with the multi-size irregular particle applied in the sinter vertical waste heat recovery technology. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2021.02.027] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
|
13
|
Comparison of particle-resolved DNS (PR-DNS) and non-resolved DEM/CFD simulations of flow through homogenous ensembles of fixed spherical and non‐spherical particles. ADV POWDER TECHNOL 2021. [DOI: 10.1016/j.apt.2021.02.016] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
|
14
|
|
15
|
Abstract
In the last decade, a few of the early attempts to bring CFD-DEM of fluidized beds beyond the limits of small, lab-scale units to larger scale systems have become popular. The simulation capabilities of the Discrete Element Method in multiphase flow and fluidized beds have largely benefitted by the improvements offered by coarse graining approaches. In fact, the number of real particles that can be simulated increases to the point that pilot-scale and some industrially relevant systems become approachable. Methodologically, coarse graining procedures have been introduced by various groups, resting on different physical backgrounds. The present review collects the most relevant contributions, critically proposing them within a unique, consistent framework for the derivations and nomenclature. Scaling for the contact forces, with the linear and Hertz-based approaches, for the hydrodynamic and cohesive forces is illustrated and discussed. The orders of magnitude computational savings are quantified as a function of the coarse graining degree. An overview of the recent applications in bubbling, spouted beds and circulating fluidized bed reactors is presented. Finally, new scaling, recent extensions and promising future directions are discussed in perspective. In addition to providing a compact compendium of the essential aspects, the review aims at stimulating further efforts in this promising field.
Collapse
|
16
|
Xie L, Zhu J, Jiang C. Quantitative study of mixing/segregation behaviors of binary-mixture particles in pilot-scale fluidized bed reactor. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2020.08.069] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|
17
|
Lattice-Boltzmann computation of hydraulic pore-to-pore conductance in packed beds of uniform spheres. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2020.115798] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
|
18
|
Zhang H, Zhang L, An X, Yu A. PR-DNS on the momentum and heat transfer of a rotating ellipsoidal particle in a fluid. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2020.06.030] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
|
19
|
Xie L, Jiang C. 3D random pore structure modeling and simulation of pressure drop characteristics in fixed-bed contactors. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2020.05.093] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
|
20
|
Li S, Shen Y. Multi-fluid modelling of hydrodynamics in a dual circulating fluidized bed. ADV POWDER TECHNOL 2020. [DOI: 10.1016/j.apt.2020.05.010] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
|
21
|
Qi Z, Kuang S, Qiu T, Yu A. Lattice Boltzmann investigation on fluid flows through packed beds: Interaction between fluid rheology and bed properties. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2020.05.046] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
|
22
|
CFD-DEM coupled with thermochemical sub-models for biomass gasification: Validation and sensitivity analysis. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2020.115550] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
|
23
|
|
24
|
Tiwari SS, Pal E, Bale S, Minocha N, Patwardhan AW, Nandakumar K, Joshi JB. Flow past a single stationary sphere, 2. Regime mapping and effect of external disturbances. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2019.04.032] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
|
25
|
|
26
|
Systematic Experimental Investigation of Segregation Direction and Layer Inversion in Binary Liquid-Fluidized Bed. Processes (Basel) 2020. [DOI: 10.3390/pr8020177] [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
Multi-component liquid-fluidized beds are encountered in a variety of industrial processes. Often, segregation severely affects the performance of the process unit. Unfortunately, size-driven and density-driven separation processes may occur with a complex interplay, showing prevailing mechanisms that change with the operating conditions. For example, when the solids exhibit contrasting differences in size and density, even the direction of segregation can turn out hard to predict, giving rise for some systems to the so-called “layer inversion phenomenon”. A systematic experimental investigation is presented on 14 different binary beds composed of glass beads and ABS spheres with different size and density ratios and different bed composition. The analysis allows assessing the reliability of a model for predicting the segregation direction of fluidized binary beds (the Particle Segregation Model, PSM). By measurements of the solids’ concentration at the surface, expansion/segregation properties and the inversion voidage are compared with the PSM predictions, offering a direct means of model validation. Both the segregation direction throughout the expansion range and the value of the inversion voidage are compared. Extensive qualitative agreement is obtained for 12 out of 14 fluidized mixtures. Quantitatively, the average discrepancy between predicted and measured inversion voidage is below 5%, with a maximum of 17%.
Collapse
|
27
|
Numerical prediction on the drag force and heat transfer of non-spherical particles in supercritical water. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2019.07.032] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
|
28
|
|
29
|
Dong X, Wang S, Geng Z, Li Y, Zhang M. Experimental and numerical analysis on the hydrodynamic behaviors of permeable microbial granules. ADV POWDER TECHNOL 2019. [DOI: 10.1016/j.apt.2019.04.022] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
|
30
|
Choi D, Park S, Han J, Ahn MY, Lee Y, Park YH, Cho S, Sohn D. A DEM-CFD study of the effects of size distributions and packing fractions of pebbles on purge gas flow through pebble beds. FUSION ENGINEERING AND DESIGN 2019. [DOI: 10.1016/j.fusengdes.2019.03.068] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
|
31
|
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]
|
32
|
|
33
|
Wu Y, Hou Q, Yu A. Pore-Scale Study of Fluid Flow and Drag Force in Randomly Packed Beds of Different Porosities. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.8b06418] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Yongli Wu
- ARC Research Hub for Computational Particle Technology, Department of Chemical Engineering, Monash University, Clayton, VIC 3800, Australia
| | - Qinfu Hou
- ARC Research Hub for Computational Particle Technology, Department of Chemical Engineering, Monash University, Clayton, VIC 3800, Australia
| | - Aibing Yu
- ARC Research Hub for Computational Particle Technology, Department of Chemical Engineering, Monash University, Clayton, VIC 3800, Australia
- Centre for Simulation and Modelling of Particulate Systems, Southeast University−Monash University Joint Research Institute, Suzhou 215123, PR China
| |
Collapse
|
34
|
Kravets B, Rosemann T, Reinecke S, Kruggel-Emden H. A new drag force and heat transfer correlation derived from direct numerical LBM-simulations of flown through particle packings. POWDER TECHNOL 2019. [DOI: 10.1016/j.powtec.2019.01.028] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
|
35
|
Shoji E, Yamagiwa K, Kubo M, Tsukada T, Takami S, Sugimoto K, Ito D, Saito Y, Teratani S. Flow visualization of heavy oil in a packed bed using real-time neutron radiography. Chem Eng Sci 2019. [DOI: 10.1016/j.ces.2018.11.021] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
|
36
|
Zhang S, McCarthy JJ. Modeling of the pressure drop across polydisperse packed beds in cake filtration. AIChE J 2019. [DOI: 10.1002/aic.16557] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Siying Zhang
- Department of Chemical and Petroleum EngineeringUniversity of Pittsburgh Pittsburgh Pennsylvania
| | - Joseph J. McCarthy
- Department of Chemical and Petroleum EngineeringUniversity of Pittsburgh Pittsburgh Pennsylvania
| |
Collapse
|
37
|
Zhang Y, Li Y, Gao Z, Li G, Zhao Y, Duan C, Dong L. Effects of drag force correlations on the mixing and segregation of polydisperse gas‐solid fluidized bed by CFD‐DEM simulation. CAN J CHEM ENG 2019. [DOI: 10.1002/cjce.23421] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Yong Zhang
- Key Laboratory of Coal Processing and Efficient Utilization of Ministry of EducationChina University of Mining & TechnologyXuzhou 221116China
- School of Chemical Engineering and TechnologyChina University of Mining & TechnologyXuzhou 221116China
| | - Yanjiao Li
- Key Laboratory of Coal Processing and Efficient Utilization of Ministry of EducationChina University of Mining & TechnologyXuzhou 221116China
- School of Chemical Engineering and TechnologyChina University of Mining & TechnologyXuzhou 221116China
| | - Zhonglin Gao
- Key Laboratory of Coal Processing and Efficient Utilization of Ministry of EducationChina University of Mining & TechnologyXuzhou 221116China
- School of Chemical Engineering and TechnologyChina University of Mining & TechnologyXuzhou 221116China
| | - Guofeng Li
- Key Laboratory of Coal Processing and Efficient Utilization of Ministry of EducationChina University of Mining & TechnologyXuzhou 221116China
- School of Chemical Engineering and TechnologyChina University of Mining & TechnologyXuzhou 221116China
| | - Yuemin Zhao
- Key Laboratory of Coal Processing and Efficient Utilization of Ministry of EducationChina University of Mining & TechnologyXuzhou 221116China
- School of Chemical Engineering and TechnologyChina University of Mining & TechnologyXuzhou 221116China
| | - Chenlong Duan
- Key Laboratory of Coal Processing and Efficient Utilization of Ministry of EducationChina University of Mining & TechnologyXuzhou 221116China
- School of Chemical Engineering and TechnologyChina University of Mining & TechnologyXuzhou 221116China
| | - Liang Dong
- Key Laboratory of Coal Processing and Efficient Utilization of Ministry of EducationChina University of Mining & TechnologyXuzhou 221116China
| |
Collapse
|
38
|
Particle scale modelling of mixing of ellipsoids and spheres in gas-fluidized beds by a modified drag correlation. POWDER TECHNOL 2019. [DOI: 10.1016/j.powtec.2018.11.054] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
|
39
|
Qi Z, Kuang S, Yu A. Lattice Boltzmann investigation of non-Newtonian fluid flow through a packed bed of uniform spheres. POWDER TECHNOL 2019. [DOI: 10.1016/j.powtec.2018.11.046] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
|
40
|
Investigation of causes of layer inversion and prediction of inversion velocity in liquid fluidizations of binary particle mixtures. POWDER TECHNOL 2019. [DOI: 10.1016/j.powtec.2018.10.011] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
|
41
|
|
42
|
Pore-scale simulation of flow and turbulence characteristics in three-dimensional randomly packed beds. POWDER TECHNOL 2018. [DOI: 10.1016/j.powtec.2018.06.013] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
|
43
|
Comparative DEM-CFD study of binary interaction and acoustic agglomeration of aerosol microparticles at low frequencies. Chem Eng Res Des 2018. [DOI: 10.1016/j.cherd.2018.06.006] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
|
44
|
Qin Z, Wang J. Coarse grid simulation of the hydrodynamics of binary gas-solid flow in CFB risers. CAN J CHEM ENG 2018. [DOI: 10.1002/cjce.23160] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Zhiyuan Qin
- State Key Laboratory of Multiphase Complex Systems; Institute of Process Engineering; Chinese Academy of Sciences; P. O. Box 353 Beijing 100190 P. R. China
- University of Chinese Academy of Sciences; Beijing 100049 P. R. China
| | - Junwu Wang
- State Key Laboratory of Multiphase Complex Systems; Institute of Process Engineering; Chinese Academy of Sciences; P. O. Box 353 Beijing 100190 P. R. China
| |
Collapse
|
45
|
Usefulness of multi-solids pneumatic transport bed data for evaluation and validation of binary solids computational simulation models. POWDER TECHNOL 2018. [DOI: 10.1016/j.powtec.2017.12.038] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
|
46
|
Ke C, Shu S, Zhang H, Yuan H, Yang D. On the drag coefficient and averaged Nusselt number of an ellipsoidal particle in a fluid. POWDER TECHNOL 2018. [DOI: 10.1016/j.powtec.2017.10.049] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
|
47
|
Lattice Boltzmann investigation of the wake effect on the interaction between particle and power-law fluid flow. POWDER TECHNOL 2018. [DOI: 10.1016/j.powtec.2017.12.015] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
|
48
|
Funk A, Zeilinger M, Miehe A, Sopu D, Eckert J, Dötz F, Waske A. MnFePSi-based magnetocaloric packed bed regenerators: Structural details probed by X-ray tomography. Chem Eng Sci 2018. [DOI: 10.1016/j.ces.2017.09.030] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
|
49
|
Wang L, Wu C, Ge W. Effect of particle clusters on mass transfer between gas and particles in gas-solid flows. POWDER TECHNOL 2017. [DOI: 10.1016/j.powtec.2017.06.046] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
|
50
|
Investigation of local heat transfer in random particle packings by a fully resolved LBM-approach. POWDER TECHNOL 2017. [DOI: 10.1016/j.powtec.2017.05.039] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
|