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Modeling and simulation of particle dispersion in dense particle‐laden flow
Author(s) -
Li Guohui,
Li Xiangli
Publication year - 2018
Publication title -
asia‐pacific journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.348
H-Index - 35
eISSN - 1932-2143
pISSN - 1932-2135
DOI - 10.1002/apj.2187
Subject(s) - mechanics , drag , turbulence , particle (ecology) , drag coefficient , reynolds number , physics , isotropy , particle laden flows , reynolds stress , work (physics) , statistical physics , classical mechanics , thermodynamics , geology , optics , oceanography
Traditional drag force coefficient with regard to modeling gas–particle flows is generally established on the semiempirical or full empirical measurement data with isotropic hypothesis resulting in neglection of true particle dispersions, especially for anisotropic characteristics. A developed drag force coefficient to fully consider the anisotropics was applied to model and simulate dense particle‐laden flows. Coupled with a unified second‐order moment, 2‐fluid turbulent model consisting of a set of fluctuation velocity Reynolds transport equations was employed for predicting dense particle‐laden flows in pseudo‐2D horizontal chamber. Simulated results showed that they are in good agreement with measurement data. Particle Reynolds stresses have been redistributed by the momentum transfer interaction term between gas and particle phases, the turbulent diffusion term, and the particle collision term. Compared with traditional Wen's model, horizontal and vertical root‐mean‐square of particle velocities exhibited much more flatter and wider distribution behaviors. Due to limitation of two‐dimensional model and wall conditions, errors near wall regions should be improved in future work.