Visualization study on the coarse graining DEM for large-scale gas–solid flow systems--颗粒学报PARTICUOLOGY

Mori, Y., & Sakai, M. (2021). Visualization study on the coarse graining DEM for large-scale gas–solid flow systems. Particuology, 59, 24-33. https://doi.org/10.1016/j.partic.2020.07.001

Visualization study on the coarse graining DEM for large-scale gas–solid flow systems

Yuki Mori ^a, Mikio Sakai ^b *

a Department of Nuclear Engineering and Management, School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
b Resilience Engineering Research Center, School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan

10.1016/j.partic.2020.07.001

Volume 59, December 2021, Pages 24-33

Received 7 February 2020, Revised 21 May 2020, Accepted 8 July 2020, Available online 31 July 2020, Version of Record 13 October 2021.

E-mail: mikio_sakai@n.t.u-tokyo.ac.jp

Highlights

• A realistic visualization method of the coarse graining DEM is proposed.

• Coarse grain particles are decomposed into virtual particles in the proposed method.

• Location of virtual particles is changed by considering the motion and location.

• Calculational efficiency and visualization improvement are shown in this study.

Abstract

Gas–solid flows are ubiquitous in industrial systems. The coupled model of the discrete element method (DEM) and computational fluid dynamics (CFD) is one of the techniques for the simulation of the gas–solid flows. To enhance the applicability of the DEM-CFD method, the coarse graining DEM has been developed to simulate large-scale powder systems. The coarse graining DEM is a scaling law model and hence can simulate large-scale systems using a smaller number of particles than the actual one. Although the coarse graining DEM enables to effectively simulate large-scale powder systems on a single PC, visualized image is lack of reality due to reduced spatial resolution. Here a novel visualization method is developed to produce realistic images. In the proposed technique, the virtual particles are located by considering the motion and location of the coarse grain particles. To show the adequacy of the proposed method, two types of visualization based on the computational results are made: a blow-up of powder due to injected gas flow and a spouted bed. In these systems, the visualized images are shown to be improved by the proposed visualization technique. The effectiveness of the proposed method is proved by the agreement of the images based on the calculation results between the standard DEM-CFD method and coarse graining DEM.

Graphical abstract

Keywords

DEM-CFD method; Coarse graining DEM; Computer graphics

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