451
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Peng W, He Y, Wang T. Granular temperature with discrete element method simulation in a bubbling fluidized bed. ADV POWDER TECHNOL 2014. [DOI: 10.1016/j.apt.2014.01.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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452
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Yang S, Luo K, Qiu K, Fang M, Fan J. Coupled Computational Fluid Dynamics and Discrete Element Method Study of the Solid Dispersion Behavior in an Internally Circulating Fluidized Bed. Ind Eng Chem Res 2014. [DOI: 10.1021/ie4041725] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Shiliang Yang
- State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou, Zhejiang 310027, P. R. China
| | - Kun Luo
- State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou, Zhejiang 310027, P. R. China
| | - Kunzan Qiu
- State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou, Zhejiang 310027, P. R. China
| | - Mingming Fang
- State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou, Zhejiang 310027, P. R. China
| | - Jianren Fan
- State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou, Zhejiang 310027, P. R. China
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453
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Kruggel-Emden H, Elskamp F. Modeling of Screening Processes with the Discrete Element Method Involving Non-Spherical Particles. Chem Eng Technol 2014. [DOI: 10.1002/ceat.201300649] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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454
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Capece M, Bilgili E, Davé RN. Formulation of a physically motivated specific breakage rate parameter for ball milling via the discrete element method. AIChE J 2014. [DOI: 10.1002/aic.14451] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Maxx Capece
- Otto H. York Dept. of Chemical, Biological, and Pharmaceutical Engineering; New Jersey Institute of Technology; Newark NJ 07102
| | - Ecevit Bilgili
- Otto H. York Dept. of Chemical, Biological, and Pharmaceutical Engineering; New Jersey Institute of Technology; Newark NJ 07102
| | - Rajesh N. Davé
- Otto H. York Dept. of Chemical, Biological, and Pharmaceutical Engineering; New Jersey Institute of Technology; Newark NJ 07102
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455
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456
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Particle impact velocities in a vibrationally fluidized granular flow: Measurements and discrete element predictions. Chem Eng Sci 2014. [DOI: 10.1016/j.ces.2014.01.027] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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457
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Yang S, Luo K, Fang M, Fan J. LES–DEM investigation of the solid transportation mechanism in a 3-D bubbling fluidized bed. Part II: Solid dispersion and circulation properties. POWDER TECHNOL 2014. [DOI: 10.1016/j.powtec.2013.12.049] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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458
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Peng Z, Doroodchi E, Luo C, Moghtaderi B. Influence of void fraction calculation on fidelity of CFD-DEM simulation of gas-solid bubbling fluidized beds. AIChE J 2014. [DOI: 10.1002/aic.14421] [Citation(s) in RCA: 165] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Zhengbiao Peng
- Priority Research Centre for Advanced Particle Processing and Transport; Discipline of Chemical Engineering, School of Engineering, The University of Newcastle; Callaghan NSW 2308 Australia
| | - Elham Doroodchi
- Priority Research Centre for Advanced Particle Processing and Transport; Discipline of Chemical Engineering, School of Engineering, The University of Newcastle; Callaghan NSW 2308 Australia
| | - Caimao Luo
- Discipline of Chemical Engineering; School of Engineering; The University of Newcastle; Callaghan NSW 2308 Australia
| | - Behdad Moghtaderi
- Discipline of Chemical Engineering; School of Engineering; The University of Newcastle; Callaghan NSW 2308 Australia
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459
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460
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Chen X, Wang J. A comparison of two-fluid model, dense discrete particle model and CFD-DEM method for modeling impinging gas–solid flows. POWDER TECHNOL 2014. [DOI: 10.1016/j.powtec.2013.12.056] [Citation(s) in RCA: 108] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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461
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462
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Höhner D, Wirtz S, Scherer V. A study on the influence of particle shape and shape approximation on particle mechanics in a rotating drum using the discrete element method. POWDER TECHNOL 2014. [DOI: 10.1016/j.powtec.2013.11.023] [Citation(s) in RCA: 95] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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463
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Su J, Gu Z, Zhang M, Xu XY. An improved version of RIGID for discrete element simulation of particle flows with arbitrarily complex geometries. POWDER TECHNOL 2014. [DOI: 10.1016/j.powtec.2013.12.009] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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464
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Challenges and Opportunities in Pharmaceutical Manufacturing Modeling and Optimization. PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON FOUNDATIONS OF COMPUTER-AIDED PROCESS DESIGN 2014. [DOI: 10.1016/b978-0-444-63433-7.50015-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
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465
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Li K, Kuang S, Pan R, Yu A. Numerical study of horizontal pneumatic conveying: Effect of material properties. POWDER TECHNOL 2014. [DOI: 10.1016/j.powtec.2013.10.013] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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466
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Zhuang YQ, Chen XM, Luo ZH, Xiao J. CFD–DEM modeling of gas–solid flow and catalytic MTO reaction in a fluidized bed reactor. Comput Chem Eng 2014. [DOI: 10.1016/j.compchemeng.2013.08.007] [Citation(s) in RCA: 65] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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467
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Development and test of CFD–DEM model for complex geometry: A coupling algorithm for Fluent and DEM. Comput Chem Eng 2013. [DOI: 10.1016/j.compchemeng.2013.07.006] [Citation(s) in RCA: 77] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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468
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469
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Wolff M, Salikov V, Antonyuk S, Heinrich S, Schneider G. Three-dimensional discrete element modeling of micromechanical bending tests of ceramic–polymer composite materials. POWDER TECHNOL 2013. [DOI: 10.1016/j.powtec.2013.07.009] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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470
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Ghodrat M, Kuang SB, Yu AB, Vince A, Barnett GD, Barnett PJ. Computational Study of the Multiphase Flow and Performance of Hydrocyclones: Effects of Cyclone Size and Spigot Diameter. Ind Eng Chem Res 2013. [DOI: 10.1021/ie402267b] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- M. Ghodrat
- Laboratory
for Simulation and Modelling of Particulate Systems, School of Materials
Science and Engineering, The University of New South Wales, Sydney, NSW 2052, Australia
| | - S. B. Kuang
- Laboratory
for Simulation and Modelling of Particulate Systems, School of Materials
Science and Engineering, The University of New South Wales, Sydney, NSW 2052, Australia
| | - A. B. Yu
- Laboratory
for Simulation and Modelling of Particulate Systems, School of Materials
Science and Engineering, The University of New South Wales, Sydney, NSW 2052, Australia
| | - A. Vince
- Elsa Consulting Group Pty Ltd., P.O. Box 8100, Mt Pleasant, QLD 4740, Australia
| | - G. D. Barnett
- Minco Tech Australia Pty Ltd., P.O. Box 142, Cardiff, NSW 2285, Australia
| | - P. J. Barnett
- Minco Tech Australia Pty Ltd., P.O. Box 142, Cardiff, NSW 2285, Australia
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471
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Arntz MMHD, Beeftink HH, den Otter WK, Briels WJ, Boom RM. Segregation of granular particles by mass, radius, and density in a horizontal rotating drum. AIChE J 2013. [DOI: 10.1002/aic.14241] [Citation(s) in RCA: 65] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- M. M. H. D. Arntz
- Food Process Engineering Group; Wageningen University; 6700 EV Wageningen The Netherlands
| | - H. H. Beeftink
- Bioprocess Engineering; Wageningen University; 6700 EV Wageningen The Netherlands
| | - W. K. den Otter
- Computational Biophysics and MESA+ Institute for Nanotechnology; University of Twente; 7500 AE Enschede The Netherlands
- Multiscale Mechanics and MESA+ Institute for Nanotechnology; University of Twente; 7500 AE Enschede The Netherlands
| | - W. J. Briels
- Computational Biophysics and MESA+ Institute for Nanotechnology; University of Twente; 7500 AE Enschede The Netherlands
| | - R. M. Boom
- Food Process Engineering Group; Wageningen University; 6700 EV Wageningen The Netherlands
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472
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Model-based analysis of high shear wet granulation from batch to continuous processes in pharmaceutical production--a critical review. Eur J Pharm Biopharm 2013; 85:814-32. [PMID: 24056091 DOI: 10.1016/j.ejpb.2013.09.013] [Citation(s) in RCA: 77] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2013] [Revised: 08/16/2013] [Accepted: 09/11/2013] [Indexed: 11/20/2022]
Abstract
The manufacturing of pharmaceutical dosage forms, which has traditionally been a batch-wise process, is now also transformed into a series of continuous operations. Some operations such as tabletting and milling are already performed in continuous mode, while the adaptation towards a complete continuous production line is still hampered by complex steps such as granulation and drying which are considered to be too inflexible to handle potential product change-overs. Granulation is necessary in order to achieve good flowability properties and better control of drug content uniformity. This paper reviews modelling and supporting measurement tools for the high shear wet granulation (HSWG) process, which is an important granulation technique due to the inherent benefits and the suitability of this unit operation for the desired switch to continuous mode. For gaining improved insight into the complete system, particle-level mechanisms are required to be better understood, and linked with an appropriate meso- or macro-scale model. A brief review has been provided to understand the mechanisms of the granulation process at micro- or particle-level such as those involving wetting and nucleation, aggregation, breakage and consolidation. Further, population balance modelling (PBM) and the discrete element method (DEM), which are the current state-of-the-art methods for granulation modelling at micro- to meso-scale, are discussed. The DEM approach has a major role to play in future research as it bridges the gap between micro- and meso-scales. Furthermore, interesting developments in the measurement technologies are discussed with a focus towards inline measurements of the granulation process to obtain experimental data which are required for developing good models. Based on the current state of the developments, the review focuses on the twin-screw granulator as a device for continuous HSWG and attempts to critically evaluate the current process. As a result, a set of open research questions are identified. These questions need to be answered in the future in order to fill the knowledge gap that currently exists both at micro- and macro-scale, and which is currently limiting the further development of the process to its full potential in pharmaceutical applications.
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473
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Wang X, Zhu HP, Luding S, Yu AB. Regime transitions of granular flow in a shear cell: a micromechanical study. PHYSICAL REVIEW. E, STATISTICAL, NONLINEAR, AND SOFT MATTER PHYSICS 2013; 88:032203. [PMID: 24125257 DOI: 10.1103/physreve.88.032203] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2012] [Revised: 07/20/2013] [Indexed: 06/02/2023]
Abstract
The regime transitions of granular flow in a model shear cell are investigated numerically with a stress-controlled boundary condition. The correlations between the elastically and kinetically scaled stresses and the packing fraction are examined, and two packing fractions (0.58 and 0.50) are identified for the quasistatic to intermediate and intermediate to inertial regime transitions. The profiles and structures of contact networks and force chains among particles in different flow regimes are investigated. It is shown that the connectivity (coordination number) among particles and the homogeneity in the shear flow increase as the system goes through the inertial, intermediate, and then quasistatic regimes, and there is only little variation in the internal structure after the system has entered the quasistatic regime. Short-range force chains start to appear in the inertial regime, which also depend on the magnitude of the shear rate. The percolation of system-spanning force chains through the whole system is a characteristic of the onset of the quasistatic regime, which happens at a packing fraction that is close to the glass transition, i.e., about random loose packing (0.58) but far below the isotropic quasistatic (athermal) jamming packing fraction of random close packing (0.64). The tails of the probability density distribution P(f) of the scaled normal contact forces for the flows in different regimes are quantified by a stretched exponential P(f)=exp(-cf^{n}) with a remarkable finding that n ∼ 1.1 may be a potential demarcation point separating the quasistatic regime and the inertial or intermediate regimes.
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Affiliation(s)
- X Wang
- Laboratory for Simulation and Modeling of Particulate Systems, School of Materials Science and Engineering, University of New South Wales, Sydney, New South Wales 2052, Australia
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474
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475
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Santhanam PR, Ermoline A, Dreizin EL. Discrete element model for an attritor mill with impeller responding to interactions with milling balls. Chem Eng Sci 2013. [DOI: 10.1016/j.ces.2013.06.048] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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476
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477
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Liyan S, Shuyan W, Guodong L, Huilin L, Dan L, Chunsheng W, Feixiang Z. Simulation of motion of particles in reciprocating grates using DEM. POWDER TECHNOL 2013. [DOI: 10.1016/j.powtec.2013.05.021] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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478
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479
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Alavi Shoushtari N, Hosseini SA, Soleimani R. Investigation of segregation of large particles in a pressurized fluidized bed with a high velocity gas: A discrete particle simulation. POWDER TECHNOL 2013. [DOI: 10.1016/j.powtec.2013.05.041] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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480
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Navarro HA, de Souza Braun MP. Determination of the normal spring stiffness coefficient in the linear spring–dashpot contact model of discrete element method. POWDER TECHNOL 2013. [DOI: 10.1016/j.powtec.2013.05.049] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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481
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Deb S, Tafti DK. A novel two-grid formulation for fluid–particle systems using the discrete element method. POWDER TECHNOL 2013. [DOI: 10.1016/j.powtec.2013.06.014] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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482
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Modeling of Particulate Processes for the Continuous Manufacture of Solid-Based Pharmaceutical Dosage Forms. Processes (Basel) 2013. [DOI: 10.3390/pr1020067] [Citation(s) in RCA: 61] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
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483
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Tsory T, Ben-Jacob N, Brosh T, Levy A. Thermal DEM–CFD modeling and simulation of heat transfer through packed bed. POWDER TECHNOL 2013. [DOI: 10.1016/j.powtec.2013.04.013] [Citation(s) in RCA: 60] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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484
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Rong L, Dong K, Yu A. Lattice-Boltzmann simulation of fluid flow through packed beds of uniform spheres: Effect of porosity. Chem Eng Sci 2013. [DOI: 10.1016/j.ces.2013.05.036] [Citation(s) in RCA: 168] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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485
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486
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Yazdchi K, Luding S. Upscaling and microstructural analysis of the flow-structure relation perpendicular to random, parallel fiber arrays. Chem Eng Sci 2013. [DOI: 10.1016/j.ces.2013.04.049] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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487
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488
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Wang J, van der Hoef M, Kuipers J. Particle granular temperature of Geldart A, A/B and B particles in dense gas-fluidized beds. Chem Eng Sci 2013. [DOI: 10.1016/j.ces.2013.04.028] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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489
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Fang M, Luo K, Yang S, Zhang K, Fan J. Computational Fluid Dynamics-Discrete Element Method Investigation of Solid Mixing Characteristics in an Internally Circulating Fluidized Bed. Ind Eng Chem Res 2013. [DOI: 10.1021/ie400306m] [Citation(s) in RCA: 51] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Mingming Fang
- State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, P. R. China
| | - Kun Luo
- State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, P. R. China
| | - Shiliang Yang
- State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, P. R. China
| | - Ke Zhang
- State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, P. R. China
| | - Jianren Fan
- State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, P. R. China
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490
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491
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Boukouvala F, Gao Y, Muzzio F, Ierapetritou MG. Reduced-order discrete element method modeling. Chem Eng Sci 2013. [DOI: 10.1016/j.ces.2013.01.053] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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492
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493
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Kruggel-Emden H, Kačianauskas R. Discrete element analysis of experiments on mixing and bulk transport of wood pellets on a forward acting grate in discontinuous operation. Chem Eng Sci 2013. [DOI: 10.1016/j.ces.2013.01.027] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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494
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Kuang S, Li K, Zou R, Pan R, Yu A. Application of periodic boundary conditions to CFD-DEM simulation of gas–solid flow in pneumatic conveying. Chem Eng Sci 2013. [DOI: 10.1016/j.ces.2013.01.055] [Citation(s) in RCA: 64] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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495
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Dong KJ, Wang B, Yu AB. Modeling of Particle Flow and Sieving Behavior on a Vibrating Screen: From Discrete Particle Simulation to Process Performance Prediction. Ind Eng Chem Res 2013. [DOI: 10.1021/ie3034637] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- K. J. Dong
- Laboratory
for Simulation and Modelling of Particulate Systems, School of Materials
Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia
| | - B. Wang
- Laboratory
for Simulation and Modelling of Particulate Systems, School of Materials
Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia
| | - A. B. Yu
- Laboratory
for Simulation and Modelling of Particulate Systems, School of Materials
Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia
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496
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Development of a granular normal contact force model based on a non-Newtonian liquid filled dashpot. POWDER TECHNOL 2013. [DOI: 10.1016/j.powtec.2013.01.027] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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497
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Viduka S, Feng Y, Hapgood K, Schwarz P. CFD–DEM investigation of particle separations using a sinusoidal jigging profile. ADV POWDER TECHNOL 2013. [DOI: 10.1016/j.apt.2012.11.012] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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498
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Sun W, Zeng Q, Yu A. Calculation of noncontact forces between silica nanospheres. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2013; 29:2175-2184. [PMID: 23339620 DOI: 10.1021/la305156s] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
Quantification of the interactions between nanoparticles is important in understanding their dynamic behaviors and many related phenomena. In this study, molecular dynamics simulation is used to calculate the interaction potentials (i.e., van der Waals attraction, Born repulsion, and electrostatic interaction) between two silica nanospheres of equal radius in the range of 0.975 to 5.137 nm. The results are compared with those obtained from the conventional Hamaker approach, leading to the development of modified formulas to calculate the van der Waals attraction and Born repulsion between nanospheres, respectively. Moreover, Coulomb's law is found to be valid for calculating the electrostatic potential between nanospheres. The developed formulas should be useful in the study of the dynamic behaviors of nanoparticle systems under different conditions.
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Affiliation(s)
- Weifu Sun
- Laboratory for Simulation and Modelling of Particulate Systems, School of Materials Science and Engineering, The University of New South Wales, Sydney, NSW 2052, Australia
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499
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Development of a laser displacement probe to measure particle impact velocities in vibrationally fluidized granular flows. POWDER TECHNOL 2013. [DOI: 10.1016/j.powtec.2012.12.001] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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500
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Fries L, Antonyuk S, Heinrich S, Dopfer D, Palzer S. Collision dynamics in fluidised bed granulators: A DEM-CFD study. Chem Eng Sci 2013. [DOI: 10.1016/j.ces.2012.06.026] [Citation(s) in RCA: 108] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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