Remember Me
Or use your Academic/Social account:


Or use your Academic/Social account:


You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.


Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message


Verify Password:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Afkhami, M; Hassanpour, A; Fairweather, M; Njobuenwu, DO (2015)
Publisher: Elsevier Ltd
Journal: Computers & Chemical Engineering
Languages: English
Types: Article
Subjects: Chemical Engineering(all), Computer Science Applications

Classified by OpenAIRE into

arxiv: Physics::Fluid Dynamics
Coupled large eddy simulation and the discrete element method are applied to study turbulent particle-laden flows, including particle dispersion and agglomeration, in a channel. The particle-particle interaction model is based on the Hertz-Mindlin approach with Johnson-Kendall-Roberts cohesion to allow the simulation of van der Waals forces in a dry air flow. The influence of different particle surface energies, and the impact of fluid turbulence, on agglomeration behaviour are investigated. The agglomeration rate is found to be strongly influenced by the particle surface energy, with a positive relationship observed between the two. Particle agglomeration is found to be enhanced in two separate regions within the channel. First, in the near-wall region due to the high particle concentration there driven by turbophoresis, and secondly in the buffer region where the high turbulence intensity enhances particle-particle interactions.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Abdilghanie AM, Collins LR, Caughey DA. Comparison of turbulence modeling strategies for indoor flows. J Fluids Eng 2009;131:051402.
    • Armenio V, Fiorotto V. The importance of the forces acting on particles in turbulent flows. Phys Fluids (1994-present) 2001;13:2437-40.
    • Armenio V, Piomelli U, Fiorotto V. Effect of the subgrid scales on particle motion. Phys Fluids (1994-present) 1999;11:3030-42.
    • Alletto M, Breuer M. One-way, two-way and four-way coupled LES predictions of a particle-laden turbulent flow at high mass loading downstream of a confined bluff body. Int J Multiph Flow 2012;45:70-90.
    • Alvandifar N, Abkar M, Mansoori Z, Avval MS, Ahmadi G. Turbulence modulation for gas-particle flow in vertical tube and horizontal channel using four-way Eulerian-Lagrangian approach. Int J Heat Fluid Flow 2011;32: 826-33.
    • Andersson HI, Zhao L, Barri M. Torque-coupling and particle-turbulence interactions. J Fluid Mech 2012;696:319-29.
    • Calvert G, Hassanpour A, Ghadiri M. Mechanistic analysis and computer simulation of the aerodynamic dispersion of loose aggregates. Chem Eng Res Des 2011;89:519-25.
    • Calvert G, Hassanpour A, Ghadiri M. Analysis of aerodynamic dispersion of cohesive clusters. Chem Eng Sci 2013;86:146-50.
    • Chen X, Li D, Luo K, Fan J. Direct numerical simulation of a three-dimensional particle laden plane mixing layer considering inter-particle collisions. Chem Eng Sci 2011;66:6232-43.
    • Chaumeil F, Crapper M. Using the DEM-CFD method to predict Brownian particle deposition in a constricted tube. Particuology 2014;15:94-106.
    • Chu K, Yu A. Numerical simulation of complex particle-fluid flows. Powder Technol 2008;179:104-14.
    • Crowe C, Troutt T, Chung J. Numerical models for two-phase turbulent flows. Annu Rev Fluid Mech 1996;28:11-43.
    • Crowe CT. On models for turbulence modulation in fluid-particle flows. Int J Multiphase Flow 2000;26:719-27.
    • Cundall PA, Strack ODL. A discrete numerical model for granular assemblies. Géotechnique 1979;29:47-65.
    • Deen N, Van Sint Annaland M, Van Der Hoef M, Kuipers J. Review of discrete particle modeling of fluidized beds. Chem Eng Sci 2007;62:28-44.
    • DEM-Solutions. EDEM coupling interface: programming guide; 2013.
    • Di Renzo DI, Cello A, Di Maio FFP. Simulation of the layer inversion phenomenon in binary liquid-fluidized beds by DEM-CFD with a drag law for polydisperse systems. Chem Eng Sci 2011;66:2945-58.
    • Elghobashi S. particle-laden turbulent flows: direct simulation and closure models. Appl Sci Res 1991;48:301-14.
    • Eskin D. Modeling dilute gas-particle flows in horizontal channels with different wall roughness. Chem Eng Sci 2005;60:655-63.
    • Fairweather M, Yao J. Mechanisms of particle dispersion in a turbulent, square duct flow. AIChE J 2009;55:1667-79.
    • Favier L, Daudon D, Donzé FV, Mazars J. Validation of a DEM granular flow model aimed at forecasting snow avalanche pressure. AIP Conf Proc 2009;1145:617-20.
    • Fraige F, Langston P. Horizontal pneumatic conveying: a 3d distinct element model. Granul Matter 2006;8:67-80.
    • Gao N, Niu J, He Q, Zhu T, Wu J. Using RANS turbulence models and Lagrangian approach to predict particle deposition in turbulent channel flows. Build Environ 2012;48:206-14.
    • Gatignol R. The Faxén formulae for a rigid particle in an unsteady non-uniform Stokes flow. J Theor Appl Mech 1983;1:143-60.
    • Germano M, Piomelli U, Moin P, Cabot WH. A dynamic subgrid-scale eddy viscosity model. Phys Fluids A: Fluid Dyn 1991;3:1760-5.
    • Humphrey CD, Cook E, Bradley DW. Identification of enterically transmitted hepatitis virus particles by solid phase immune electron microscopy. J Virol Methods 1990;29:177-88.
    • Jaszczur M. Large eddy simulations of particle-fluid interaction in a turbulent channel flow. J Phys: Conf Ser 2011;318:042052.
    • Johnson KL. Contact Mechanics. Cambridge: Cambridge University Press; 1985.
    • Johnson KL, Kendall K, Roberts AD. Surface energy and the contact of elastic solids. Proc R Soc Lond A Math Phys Sci 1971;324:301-13.
    • Kawaguchi H. Functional polymer microspheres. Prog Polym Sci 2000;25: 1171-210.
    • Kim J, Moin P, Moser R. Turbulence statistics in fully developed channel flow at low Reynolds number. J Fluid Mech 1987;177:133-66.
    • Kim S-E. Large eddy simulation using an unstructured mesh based finitevolume solver. In: 34th AIAA fluid dynamics conference and exhibit; 2004. p. 1-7.
    • Kuang S, Chu K, Yu A, Zou Z, Feng Y. Computational investigation of horizontal slug flow in pneumatic conveying. Ind Eng Chem Res 2008;47:470-80.
    • Kuerten J. Subgrid modeling in particle-laden channel flow. Phys Fluids (1994-present) 2006;18:025108.
    • Kulick JD, Fessler JR, Eaton JK. Particle response and turbulence modification in fully developed channel flow. J Fluid Mech 1994;277:109-34.
    • Laín S, Sommerfeld M. Euler/Lagrange computations of pneumatic conveying in a horizontal channel with different wall roughness. Powder Technol 2008;184:76-88.
    • Laín S, Sommerfeld M. Effect of geometry on flow structure and pressure drop in pneumatic conveying of solids along horizontal ducts. J Sci Ind Res 2011;70:129-34.
    • Laín S, Sommerfeld M. Numerical calculation of pneumatic conveying in horizontal channels and pipes: detailed analysis of conveying behaviour. Int J Multiph Flow 2012;39:105-20.
    • Li J, Kuipers J. On the origin of heterogeneous structure in dense gas-solid flows. Chem Eng Sci 2005;60:1251-65.
    • Li J, Mason D. A computational investigation of transient heat transfer in pneumatic transport of granular particles. Powder Technol 2000;112:273-82.
    • Li J, Webb C, Pandiella S, Campbell G, Dyakowski T, Cowell A, Mcglinchey D. Solids deposition in low-velocity slug flow pneumatic conveying. Chem Eng Process: Process Intensif 2005;44:167-73.
    • Lilly D. A proposed modification of the Germano subgrid-scale closure method. Phys Fluids A: Fluid Dyn 1992;4:633-5.
    • Lim EWC, Wang CH, Yu AB. Discrete element simulation for pneumatic conveying of granular material. AIChE J 2006a;52:496-509.
    • Lim EWC, Zhang Y, Wang C-H. Effects of an electrostatic field in pneumatic conveying of granular materials through inclined and vertical pipes. Chem Eng Sci 2006b;61:7889-908.
    • Mangwandi C, Cheong YS, Adams MJ, Hounslow MJ, Salman AD. The coefficient of restitution of different representative types of granules. Chem Eng Sci 2007;62:437-50.
    • Marchioli C, Soldati A, Kuerten J, Arcen B, Taniere A, Goldensoph G, SQUIRES K, Cargnelutti M, Portela L. Statistics of particle dispersion in direct numerical simulations of wall-bounded turbulence: results of an international collaborative benchmark test. Int J Multiph Flow 2008;34:879-93.
    • Maxey MR, Riley JJ. Equation of motion for a small rigid sphere in a nonuniform flow. Phys Fluids 1983;26:883-9.
    • Mohaupt M, Minier J-P, Tanière A. A new approach for the detection of particle interactions for large-inertia and colloidal particles in a turbulent flow. Int J Multiph Flow 2011;37:746-55.
    • Nasr H, Ahmadi G. The effect of two-way coupling and inter-particle collisions on turbulence modulation in a vertical channel flow. Int J Heat Fluid Flow 2007;28:1507-17.
    • Ning Z. (Doctor of Philosophy thesis) Elasto-plastic impact of fine particles and fragmentation of small agglomerates (Doctor of Philosophy thesis). University of Aston; 1995.
    • Ning Z, Ghadiri M. Distinct element analysis of attrition of granular solids under shear deformation. Chem Eng Sci 2006;61:5991-6001.
    • Njobuenwu D, Fairweather M. Effect of shape on inertial particle dynamics in a channel flow. Flow Turbul Combust 2014;92:83-101.
    • Ouyang J, Yu A, Pan R. Simulation of gas-solid flow in vertical pipe by hard-sphere model. Part Sci Technol 2005;23:47-61.
    • Pan X, Liu X, Li G, Li T. Numerical investigation on gas-particle flows in horizontal channel under the reduced gravity environments. Acta Astronaut 2011;68:133-40.
    • Pan Y, Banerjee S. Numerical simulation of particle interactions with wall turbulence. Phys Fluids 1996;8:2733-55.
    • Pirker S, Kahrimanovic D, Kloss C, Popoff B, Braun M. Simulating coarse particle conveying by a set of Eulerian Lagrangian and hybrid particle models. Powder Technol 2010;204:203-13.
    • Pozorski J, Apte SV. Filtered particle tracking in isotropic turbulence and stochastic modeling of subgrid-scale dispersion. Int J Multiph Flow 2009;35: 118-28.
    • Rhie C, Chow W. Numerical study of the turbulent flow past an isolated airfoil with trailing edge separation. AIAA J 1983;21:1525-32.
    • Robinson SK. Coherent motions in the turbulent boundary layer. Annu Rev Fluid Mech 1991;23:601-39.
    • Rowe PN, Enwood GA. Drag forces in hydraulic model of a fluidized bed - Part I. Trans Inst Chem Eng 1962;39:43-7.
    • Smagorinsky J. General circulation experiments with the primitive equations: I. The basic experiment. Mon Weather Rev 1963;91:99-164.
    • Squires KD, Eaton JK. Particle response and turbulence modification in isotropic turbulence. Phys Fluids A: Fluid Dyn 1990;2:1191-203.
    • Sundaram S, Collins LR. A numerical study of the modulation of isotropic turbulence by suspended particles. J Fluid Mech 1999;379:105-43.
    • Thornton C, Ning Z. A theoretical model for the stick/bounce behaviour of adhesive, elastic-plastic spheres. Powder Technol 1998;99:154-62.
    • Thornton C, Yin K. Impact of elastic spheres with and without adhesion. Powder Technol 1991;65:153-66.
    • Tsuji Y. Activities in discrete particle simulation in Japan. Powder Technol 2000;113:278-86.
    • Tsuji Y, Tanaka T, Ishida T. Lagrangian numerical simulation of plug flow of cohesionless particles in a horizontal pipe. Powder Technol 1992;71: 239-50.
    • Vinkovic I, Doppler D, Lelouvetel J, Buffat M. Direct numerical simulation of particle interaction with ejections in turbulent channel flows. Int J Multiph Flow 2011;37:187-97.
    • Von Karman T. Calculation of pressure distribution on airship hulls. Technical Memorandums, National Advisory Committee for Aeronautics No. 574; 1930.
    • Vreman B, Geurts BJ, Deen N, Kuipers J, Kuerten J. Two-and four-way coupled Euler-Lagrangian large-eddy simulation of turbulent particle-laden channel flow. Flow Turbul Combust 2009;82:47-71.
    • Wang M, Lin C-H, Chen Q. Determination of particle deposition in enclosed spaces by Detached Eddy Simulation with the Lagrangian method. Atmos Environ 2011;45:5376-84.
    • Winkler C, Rani SL, Vanka S. A numerical study of particle wall-deposition in a turbulent square duct flow. Powder Technol 2006;170:12-25.
    • Xiang J, McGlinchey D. Numerical simulation of particle motion in dense phase pneumatic conveying. Granul Matter 2004;6:167-72.
    • Xu JQ, Zou RP, Yu AB. Analysis of the packing structure of wet spheres by Voronoi-Delaunay tessellation. Granul Matter 2007;9: 455-63.
    • Yamamoto Y, Potthoff M, Tanaka T, Kajishima T, Tsuji Y. Large-eddy simulation of turbulent gas-particle flow in a vertical channel: effect of considering interparticle collisions. J Fluid Mech 2001;442:303-34.
    • Zhang L, Thornton C. A numerical examination of the direct shear test. Geotechnique 2007;57:343-54.
    • Zhang M, Chu K, Wei F, Yu A. A CFD-DEM study of the cluster behavior in riser and downer reactors. Powder Technol 2008;184:151-65.
    • Zhao L. (Doctoral thesis) Particles in wall turbulence (Doctoral thesis). Norwegian University of Science and Technology; 2011.
    • Zhao L, Andersson HI, Gillissen J. Turbulence modulation and drag reduction by spherical particles. Phys Fluids 2010;22:081702.
    • Zhao L, Marchioli C, Andersson H. Stokes number effects on particle slip velocity in wall-bounded turbulence and implications for dispersion models. Phys Fluids 2012;24:021705.
    • Zhu H, Yu A. The effects of wall and rolling resistance on the couple stress of granular materials in vertical flow. Phys A: Stat Mech Appl 2003;325:347-60.
    • Zhu H, Zhou Z, Yang R, Yu A. Discrete particle simulation of particulate systems: a review of major applications and findings. Chem Eng Sci 2008;63: 5728-70.
  • No related research data.
  • No similar publications.

Share - Bookmark

Cite this article