Modeling of aggregation kernels for fluidized beds using discrete particle model simulations--颗粒学报PARTICUOLOGY

Narni, N. R., Peglow, M., Warnecke, G., Kumar, J., Heinrich, S., & Kuipers, J. A. M. (2014). Modeling of aggregation kernels for fluidized beds using discrete particle model simulations. Particuology, 13, 134–144. https://doi.org/10.1016/j.partic.2013.03.007

Nageswara Rao Narni ^a *, Mirko Peglow ^b, Gerald Warnecke ^c, Jitendra Kumar ^d, Stefan Heinrich ^e, J.A.M. Kuipers ^f

a Department of Mathematics, Rajiv Gandhi University of Knowledge Technologies, Gachibowli, Hyderabad 500 032, India
b Institute for Process Engineering, Otto-von-Guericke-University Magdeburg, Universitatsplatz 2, D-39106 Magdeburg, Germany
c Institute for Analysis and Numerics, Otto-von-Guericke-University Magdeburg, Universitatsplatz 2, D-39106 Magdeburg, Germany
d Department of Mathematics, IIT Kharagpur, India
e Institute of Solids, Process Engineering and Particle Technology, Hamburg University of Technology, Hamburg, Germany
f Eindhoven University of Technology – SMR, P.O. Box 513, 5600 MB Eindhoven, The Netherlands

10.1016/j.partic.2013.03.007

Volume 13, April 2014, Pages 134-144

Received 10 October 2012, Revised 19 February 2013, Accepted 31 March 2013, Available online 31 July 2013.

E-mail: narninrao@gmail.com

Highlights

• Aggregation kernels for fluidized bed are derived using discrete particle model simulations.

• Simulation results show that collisions among large–large particles are more favorable.

• Collision frequency function is in good agreement with shear kernel.

• Aggregation efficiency function is calculated for a random aggregation mechanism.

Abstract

Aggregation is one of the many important processes in chemical and process engineering. Several researchers have attempted to understand this complex process in fluidized beds using the macro-model of population balance equations (PBEs). The aggregation kernel is an effective parameter in PBEs, and is defined as the product of the aggregation efficiency and collision frequency functions. Attempts to derive this kernel have taken different approaches, including theoretical, experimental, and empirical techniques. The present paper calculates the aggregation kernel using micro-model computer simulations, i.e., a discrete particle model. We simulate the micro-model without aggregation for various initial conditions, and observe that the collision frequency function is in good agreement with the shear kernel. We then simulate the micro-model with aggregation and calculate the aggregation efficiency rate.

Graphical abstract

Keywords

Aggregation kernels; Multi-phase flow; Collision frequency function; Aggregation efficiency rate; Bed parameter

文章导读