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Modeling of aggregation kernel using Monte Carlo simulations of spray fluidized bed agglomeration
Author(s) -
Hussain Mubashir,
Peglow Mirko,
Tsotsas Evangelos,
Kumar Jitendra
Publication year - 2014
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.14332
Subject(s) - monte carlo method , economies of agglomeration , kernel (algebra) , population balance equation , population , statistical physics , particle (ecology) , microscale chemistry , fluidized bed , mechanics , mathematics , physics , thermodynamics , statistics , engineering , demography , oceanography , mathematics education , combinatorics , chemical engineering , sociology , geology
The present work attempts to consider the microscopic mechanisms of spray fluidized bed agglomeration while modeling the macroscopic kinetics of the process. A microscale approach, constant volume Monte‐Carlo simulation, is used to analyze the effects of micro‐processes on the aggregation behavior and identify the influencing parameters. The identified variables, namely the number of wet particles, the total number of particles, and the number of droplets are modeled and combined in the form of an aggregation kernel. The proposed kernel is then used in a one‐dimensional population balance equation for predicting the particle number density distribution. The only fitting parameters remaining in the population balance system are the collision frequency per particle and a success fraction accounting for the dissipation of kinetic energy. Predictions of the population balance model are compared with the results of Monte‐Carlo simulations for a variation of significant operating parameters and found to be in good agreement. © 2014 American Institute of Chemical Engineers AIChE J , 60: 855–868, 2014