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Investigation of Aggregation Kernel and Simulation of Cohesive Particle Flow
Author(s) -
Sun Liyan,
Yu Wenhao,
Hassan Muhammad,
Wang Shuai,
Liu Guodong,
Lu Huilin
Publication year - 2016
Publication title -
chemical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.403
H-Index - 81
eISSN - 1521-4125
pISSN - 0930-7516
DOI - 10.1002/ceat.201500715
Subject(s) - kernel (algebra) , population balance equation , discrete element method , population , nyström method , quadrature (astronomy) , computer simulation , mechanics , flow (mathematics) , particle (ecology) , statistical physics , mathematics , mathematical optimization , computer science , engineering , physics , mathematical analysis , geology , integral equation , oceanography , demography , combinatorics , sociology , electrical engineering
A modified model coupled with the population balance equation has been developed to simulate the aggregation process in fluidized beds. The population balance equation is solved as part of computational fluid dynamics simulation by the direct quadrature method of moments. In the simulation, the aggregation rate is controlled by the aggregation kernel which is usually obtained by theoretical derivation and is difficult to verify experimentally. The aggregation kernel is investigated by the discrete element method and the performance of the proposed model for simulating cohesive particle flow in fluidized beds is evaluated. Simulation results are compared to the experimental data and show good agreement. A comparison between different models is also carried out.