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Coupling of coarse-grained discrete particle method and particle-in-cell method for simulation of gas-solid flow

  • Fei-guo CHEN Wei GE
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  • 1. State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China 2. School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2018-12-21

  Revised date: 2019-01-21

  Online published: 2019-08-15

Supported by

;Science Challenge Project

Abstract

Eularian?Lagrangian (EL) methods for the simulation of gas–solid flow are advantageous over Eularian–Eularian (EE) methods in terms of their more rigorous treatment of the particle motion and particle–particle interactions. But conventional EL methods are limited in the number of handled particles. Coarse-grained discrete particle method (CG-DPM) and multiphase particle-in-cell (MP-PIC) are two main methods in this category to increase the simulation scales by treating particle swarms as single computational particles. They are found to be more suitable for dense and dilute particle suspensions, respectively and hence coupled in this study to establish a more general, accurate and efficient EL method. The optimum coupling parameters are determined by comparing the flow patterns from different methods and quantitative analysis on their particle fraction distributions.

Cite this article

Fei-guo CHEN Wei GE . Coupling of coarse-grained discrete particle method and particle-in-cell method for simulation of gas-solid flow[J]. The Chinese Journal of Process Engineering, 2019 , 19(4) : 651 -660 . DOI: 10.12034/j.issn.1009-606X.218338

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