A stochastic formulation for the drag force based on multiscale numerical simulation of fluidized beds. (February 2018)

• Record Type: Journal Article
• Authors: Esteghamatian, Amir; Euzenat, Florian; Hammouti, Abdelkader; Lance, Michel; Wachs, Anthony
• Is Part Of: International journal of multiphase flow. Volume 99(2018)
• Page Start: 363
• Page End: 382
• Publication Date: 2018-02
• Subjects: Multi-scale simulation -- Fluidized bed -- Stochastic drag law -- Discrete element method -- Fictitious domain method -- Euler/lagrange method; Multiphase flow -- Periodicals; Écoulement polyphasique -- Périodiques; Multiphase flow; Periodicals; 620.1064
• DOI: 10.1016/j.ijmultiphaseflow.2017.11.003
• Languages: English
• ISSNs: 0301-9322

Abstract

Highlights: Micro-scale particle resolved and meso-scale DEM-CFD simulations of a small size fluidized bed, Characterization of the drag coefficient as a probability density function for a pair of (Reynolds, porosity), New stochastic drag model with parameters extracted from micro-scale particle-resolved simulations, Improvement of classical DEM-CFD models using a Gaussian filtering kernel and a new stochastic drag model to recover the right level of particles fluctuations. Abstract: In Esteghamatian, A., Bernard, M., Lance, M., Hammouti, A. and Wachs, A., 2017, Micro/meso simulation of a fluidized bed in a homogeneous bubbling regime, International Journal of Multiphase Flow, 92, 93–111, we performed a one-to-one comparison of micro-scale Particle-Resolved Simulation (PRS) results and meso-scale two-way coupled Euler-Lagrange (a. k. a. DEM-CFD for Discrete Element Method-Computational Fluid Dynamics) simulation results in a homogeneous bi-periodic liquid/solid fluidized bed. These data showed an acceptable agreement between micro- and meso-scale predictions for integral measures as, e.g., pressure drop and bed height. However, particles fluctuations are markedly underpredicted in DEM-CFD simulations, especially in the direction transverse to the main flow. The filtered DEM-CFD porosity appears to be a coarse descriptor of the local microstructure and hence is the primary reason for the inability of the meso-scale DEM-CFD model to fully recover the actual features of the flow. In this paper, we explore two different directions in improving the meso-scale model: (a) we adopt an improved inter-phase coupling scheme and (b) we introduce a stochastic formulation for the drag law derived from our PRS results. The new stochastic drag law, which incorporates information on the first and second-order moments of PRS results, shows promises to recover the appropriate level of particles fluctuations.