Modeling of aggregation kernels for fluidized beds using discrete particle model simulations

作     者：Nageswara Rao Narni Mirko Peglow Gerald Warnecke Jitendra Kumar Stefan Heinriche J.A.M.Kuipers 

作者机构：Department of MathematicsRajiv Gandhi University of Knowledge TechnologiesGachibowliHyderabad 500032India Institute for Process EngineeringOtto-von-Guericke-University MagdeburgUniversitatsplatz 2D-39106 MagdeburgGermany Institute for Analysis and NumericsOtto-von-Guericke-University MagdeburgUniversitatsplatz 2D-39106 MagdeburgGermany Department of MathematicsⅡT KharagpurIndia Institute of SolidsProcess Engineering and Particle TechnologyHamburg University of TechnologyHamburgGermany Eindhoven University of Technology-SMRP.O.Box 5135600 MB EindhovenThe Netherlands 

出 版 物：《Particuology》 (颗粒学报（英文版）)

年 卷 期：2014年第12卷第2期

页      面：134-144页

核心收录：

学科分类：080706[工学-化工过程机械] 0817[工学-化学工程与技术] 08[工学] 0807[工学-动力工程及工程热物理] 0805[工学-材料科学与工程（可授工学、理学学位）] 0703[理学-化学] 0702[理学-物理学] 

基　　金：supported by the Graduiertenkolleg-828 "Micro-Macro-Interactions in Structured Media and Particles Systems" Otto-von-Guericke-University Magdeburg 

主　　题：Aggregation kernelsMulti phase flowCollision frequency functionAggregation efficiency rateBed parameter 

摘      要：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.