Discrete element method for multiscale modeling

A discrete element method (DEM) has been developed to provide highly accurate and detailed predictions of the Lagrangian particle phase. Especially in this study, DEM has been used together with an Eulerian approach for the fluid phase to look at interphase exchange phenomena in a multiphase-multiscale modeling approach. The drying process inside a fluidized bed coffee bean roaster has been chosen. Herein, heat, mass, and momentum transport are solved on a fluid cell level; heat, mass, and momentum transfer coefficients are solved at a particle scale level; and 1D temperature and moisture content profiles are solved inside each coffee bean on a sub-particle scale level. Therefore, this multiscale approach provides much more information compared to existing coffee bean roaster models. In this work, a detailed description of this method is provided and results on different scale levels have been discussed. Modeling data and experimental results are compared and found to be in good agreement.

[1]  Y. Tsuji,et al.  Discrete particle simulation of two-dimensional fluidized bed , 1993 .

[2]  Bruno C. Hancock,et al.  Process modeling in the pharmaceutical industry using the discrete element method. , 2009, Journal of pharmaceutical sciences.

[3]  Ng Niels Deen,et al.  Numerical Simulation of Dense Gas-Solid Fluidized Beds: A Multiscale Modeling Strategy , 2008 .

[4]  Gilles Flamant,et al.  DEM-LES simulation of coal combustion in a bubbling fluidized bed Part II: coal combustion at the particle level , 2004 .

[5]  Gilles Trystram,et al.  Analysis of the heat and mass transfer during coffee batch roasting , 2007 .

[6]  P. Cundall,et al.  A discrete numerical model for granular assemblies , 1979 .

[7]  Rajamani Krishna,et al.  Experimental validation of Lagrangian-Eulerian simulations of fluidized beds , 2001 .

[8]  O. Levenspiel,et al.  Fluidization engineering, 2nd edition , 1991 .

[9]  Runyu Yang,et al.  Discrete particle simulation of particulate systems: A review of major applications and findings , 2008 .

[10]  R. Viswanathan,et al.  Physical and Thermal Properties of Coffee , 1999 .

[11]  J. Chirife,et al.  Handbook of Food Isotherms: Water Sorption Parameters for Food and Food Components , 1982 .

[12]  G. Trystram,et al.  Physical Model of Heat and Mass Transfer in a Spouted Bed Coffee Roaster , 2007 .

[13]  Paul Zulli,et al.  Particle scale study of heat transfer in packed and bubbling fluidized beds , 2009 .

[14]  Carl Wassgren,et al.  Using the discrete element method to predict collision-scale behavior: A sensitivity analysis , 2009 .

[15]  Sai Gu,et al.  CFD modelling of the fast pyrolysis of biomass in fluidised bed reactors: modelling the impact of biomass shrinkage. , 2009 .

[16]  J. Kuipers,et al.  Discrete particle simulation of bubble and slug formation in a two-dimensional gas-fluidised bed: A hard-sphere approach. , 1996 .

[17]  Yutaka Tsuji,et al.  Lagrangian numerical simulation of plug flow of cohesionless particles in a horizontal pipe , 1992 .

[18]  S. Patankar Numerical Heat Transfer and Fluid Flow , 2018, Lecture Notes in Mechanical Engineering.

[19]  John Nijenhuis,et al.  Insights in distributed secondary gas injection in a bubbling fluidized bed via discrete particle simulations , 2008 .

[20]  Yuqing Feng,et al.  Assessment of model formulations in the discrete particle simulation of gas-solid flow , 2004 .