Abstract
The application of Computational Fluid Mechanics (CFD) coupled to Discrete Element Method (DEM) to simulate industrial and natural scale system requires integrating large number of particles for long times which can make these simulations impractical. One method to reduce the computational cost of DEM simulations is by lumping particles in representative particles of larger diameters to reduce the total number of particles in the simulations. In this work the applicability and limitation of using a representative particle model is evaluated in engineering and natural systems, a fluidized bed system at different fluidization velocities and scaling ratios and a unidirectional open turbulent channel flow in flow regimes ranging from essentially no motion to suspended sediment.
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References
Sakai, M., Abe, M., Shigeto, Y., Mizutani, S., Takahashi, H., Viré, A., et al.: Verification and validation of a coarse grain model of the DEM in a bubbling fluidized bed. Chem. Eng. J. 244, 33–43 (2014)
Amritkar, A., Deb, S., Tafti, D.: Efficient parallel CFD-DEM simulations using OpenMP. J. Comput. Phys. 256, 501–519 (2014)
Gopalakrishnan, P., Tafti, D.: Development of parallel DEM for the open source code MFIX. Powder Technol. 235, 33–41 (2013)
Al-Khayat, O., Bruaset, A.M., Langtangen, H.P.: A lumped particle modeling framework for simulating particle transport in fluids. Commun. Comput. Phys. 8(1), 115–142 (2010)
Al-Khayat, O., Magnus Bruaset, A., Petter Langtangen, H.: Particle collisions in a lumped particle model. Commun. Comput. Phys. 10(4), 823 (2011)
Snider, D.: An incompressible three-dimensional multiphase particle-in-cell model for dense particle flows. J. Comput. Phys. 170(2), 523–549 (2001)
Washino, K., Hsu, C.-H., Kawaguchi, T., Tsuji, Y.: Similarity model for DEM simulation of fluidized bed. J. Soc. Powder Technol. Jpn. 44(3), 198–205 (2007)
Liu, Z., Suda, T., Tsuji, T., Tanaka, T.: Use of similarities in CFD-DEM simulation of fluidized bed (2013)
Sakano, M., Yaso, T., Nakanishi, H.: Numerical simulation of two-dimensional fluidized bed using discrete element method with imaginary sphere model. Jpn. J. Multiph. Flow 14(1), 66–73 (2000)
Kuwagi, K., Takeda, H., Horio, M. (eds.): The similar particle assemblage (SPA) model, an approach to large scale DEM simulation. In: Fluidization XI, Engineering Conference International, Brooklyn, NY, USA 11201 (2004)
Sakai, M., Koshizuka, S.: Large-scale discrete element modeling in pneumatic conveying. Chem. Eng. Sci. 64(3), 533–539 (2009)
Benyahia, S., Galvin, J.E.: Estimation of numerical errors related to some basic assumptions in discrete particle methods. Ind. Eng. Chem. Res. 49(21), 10588–10605 (2010)
Mokhtar, M.A., Kuwagi, K., Takami, T., Hirano, H., Horio, M.: Validation of the similar particle assembly (SPA) model for the fluidization of Geldart’s group A and D particles. AIChE J. 58(1), 87–98 (2012)
Hilton, J., Cleary, P. (eds.): Comparison of resolved and coarse grain DEM models for gas flow through particle beds. In: Proceedings of the Ninth International Conference on CFD in the Minerals and Process Industries (2012)
Braun, M., Srinivasa, M., Gohel, S.: Validation of an efficient CFD-DEM model for large scale fluidized beds (2012)
Tafti, D.K. (ed.): GenIDLEST—a scalable parallel computational tool for simulating complex turbulent flows. In: Proceedings of the ASME Fluids Engineering Division, New York, NY, USA 10016-5990 (2001)
Anderson, T.B., Jackson, R.: Fluid mechanical description of fluidized beds. Equations of motion. Ind. Eng. Chem. Fundam. 6(4), 527–539 (1967)
Huilin, L., Yurong, H., Gidaspow, D., Lidan, Y., Yukun, Q.: Size segregation of binary mixture of solids in bubbling fluidized beds. Powder Technol. 134(1–2), 86–97 (2003)
Deb, S., Tafti, D.K.: A novel two-grid formulation for fluid–particle systems using the discrete element method. Powder Technol. 246, 601–616 (2013)
Cundall, P.A., Strack, O.D.L.: A discrete numerical model for granular assemblies. Géotechnique 29(1), 47–65 (1979)
Tsuji, Y., Kawaguchi, T., Tanaka, T.: Discrete particle simulation of two-dimensional fluidized bed. Powder Technol. 77(1), 79–87 (1993)
Schmeeckle, M.W.: Numerical simulation of turbulence and sediment transport of medium sand. J. Geophys. Res. Earth Surf. 119(6), 1240–1262 (2014)
Wong, M., Parker, G.: The bedload transport relation of Meyer-Peter and Müller overpredicts by a factor of two. J Hydraul. Eng. 132, 1159–1168 (2006)
Engelund, F., Hansen, E.: A monograph on sediment transport in alluvial streams. TEKNISKFORLAG Skelbrekgade 4 Copenhagen V, Denmark (1967)
Sakai, M., Takahashi, H., Pain, C.C., Latham, J.-P., Xiang, J.: Study on a large-scale discrete element model for fine particles in a fluidized bed. Adv. Powder Technol. 23(5), 673–681 (2012)
Kafui, K., Thornton, C., Adams, M.: Discrete particle-continuum fluid modelling of gas–solid fluidised beds. Chem. Eng. Sci. 57(13), 2395–2410 (2002)
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Elghannay, H.A., Tafti, D.K. (2017). Evaluation of Coarse Graining DEM Using Representative Particle Model. In: Li, X., Feng, Y., Mustoe, G. (eds) Proceedings of the 7th International Conference on Discrete Element Methods. DEM 2016. Springer Proceedings in Physics, vol 188. Springer, Singapore. https://doi.org/10.1007/978-981-10-1926-5_7
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DOI: https://doi.org/10.1007/978-981-10-1926-5_7
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