Discrete particle modeling of granular temperature distribution in a bubbling fluidized bed--颗粒学报PARTICUOLOGY

He, Y., Wang, T., Deen, N., van Sint Annaland, M., Kuipers, H., & Wen, D. (2012). Discrete particle modeling of granular temperature distribution in a bubbling fluidized bed. Particuology, 10(4), 428–437. https://doi.org/10.1016/j.partic.2012.02.001

Discrete particle modeling of granular temperature distribution in a bubbling fluidized bed

Yurong He ^a, Tianyu Wang ^a, Niels Deen ^b, Martin van Sint Annaland ^b, Hans Kuipers ^b, Dongsheng Wen ^c *

a Department of Power Engineering, College of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
b Department of Chemical Engineering and Chemistry, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands
c School of Engineering and Materials Science, Queen Mary University of London, Mile End Road, London E1 4NS, UK

10.1016/j.partic.2012.02.001

Volume 10, Issue 4, August 2012, Pages 428-437

Received 7 March 2011, Accepted 28 February 2012, Available online 12 April 2012.

E-mail: d.wen@qmul.ac.uk

Highlights

► Superficial gas velocity has the most marked effect on granular temperatures including bubble, particle translational and particle rotational granular temperatures.

► Drag force model affects more seriously the large scale variables such as the bubble granular temperature.

► Simulation results are in reasonable agreement with experimental results.

Abstract

The discrete hard sphere particle model (DPM) is applied in this work to study numerically the distributions of particle and bubble granular temperatures in a bubbling fluidized bed. The dimensions of the bed and other parameters are set to correspond to those of Müller et al. (2008). Various drag models and operational parameters are investigated to find their influence on particle and bubble granular temperatures. Various inlet superficial gas velocities are used in this work to obtain their effect on flow characteristics. It is found that the superficial gas velocity has the most important effect on granular temperatures including bubble granular temperature, particle translational granular temperature and particle rotational granular temperature. The drag force model affects more seriously the large scale variables such as the bubble granular temperature. Restitution coefficient influences all granular temperatures to some degree. Simulation results are compared with experimental results by Müller et al. (2008) showing reasonable agreement.

Graphical abstract

Keywords

Bubbling fluidized bed; Discrete hard sphere model; Particle and bubble granular temperature

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