Particle mixing rates using the two-fluid model--颗粒学报PARTICUOLOGY

Banaei, M., Deen, N. G., van Sint Annaland, M., & Kuipers, J. A. M. (2018). Particle mixing rates using the two-fluid model. Particuology, 36, 13-26. https://doi.org/10.1016/j.partic.2017.01.009

Particle mixing rates using the two-fluid model

M. Banaei ^{a b *}, N.G. Deen ^{b c}, M. van Sint Annaland ^{a b}, J.A.M. Kuipers ^{a b}

a Multiphase Reactors Group, Department of Chemical Engineering & Chemistry, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
b Dutch Polymer Institute (DPI), 5600 AX Eindhoven, The Netherlands
c Multiphase and Reactive Flows Group, Department of Mechanical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands

10.1016/j.partic.2017.01.009

Volume 36, February 2018, Pages 13-26

Received 24 October 2016, Revised 12 December 2016, Accepted 12 January 2017, Available online 20 June 2017, Version of Record 22 December 2017.

E-mail: mohammad.banaei@outlook.com; mohamad.banaee@gmail.com

Highlights

• A new method for solids mixing calculation using the two fluid model was introduced.

• Our method fulfills the solids continuity equation.

• Solids mixing increases exponentially with pressure and decreases linearly with bed diameter.

• The new method is computationally cheaper than other techniques.

Abstract

In this work, a new methodology is introduced to calculate the solids mixing rate in dense gas-fluidized beds using the two-fluid model. The implementation of this methodology into an existing two-fluid model code was carefully verified. The solids phase continuity equation was satisfied using our method, and the sensitivity of the computational results to the time step, computational cell size, and discretization scheme was investigated to determine the optimal simulation settings. Using these simulation settings, the degree of solids mixing was observed to rapidly (exponentially) increase with increasing operating pressure and linearly decrease with increasing bed diameter. Our novel methodology can be applied to analyze mixing processes in large lab-scale beds as an alternative to existing time-consuming simulation techniques such as computational fluid dynamics combined with the discrete element model.

Graphical abstract

Keywords

Gas–solid fluidized bed; Simulation; Two-fluid model; Solids mixing; Pressure; Scale up

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