TY - JOUR
T1 - Solution of the population balance equation using constant-number Monte Carlo
AU - Lin, Yulan
AU - Lee, Kangtaek
AU - Matsoukas, Themis
N1 - Funding Information:
This study is based upon work supported in part (for TM) by the National Science Foundation under Grant No. CTS 9702653 and in part (for KL) by Korea Research Foundation Grant (KRF-2001-005-E00030).
PY - 2002/6/28
Y1 - 2002/6/28
N2 - We formulate a Monte Carlo simulation of the mean-field population balance equation by tracking a sample of the population whose size (number of particles in the sample) is kept constant throughout the simulation. This method amounts to expanding or contracting the physical volume represented by the simulation so as to continuously maintain a reaction volume that contains constant number of particles. We call this method constant-number Monte Carlo to distinguish it from the more common constant-volume method. In this work, we expand the formulation to include any mechanism of interest to population balances, whether the total mass of the system is conserved or not. The main problem is to establish connection between the sample of particles in the simulation box and the volume of the physical system it represents. Once this connection is established all concentrations of interest can be determined. We present two methods to accomplish this, one by requiring that the mass concentration remain unaffected by any volume changes, the second by applying the same requirement to the number concentration. We find that the method based on the mass concentration is superior. These ideas are demonstrated with simulations of coagulation in the presence of either breakup or nucleation.
AB - We formulate a Monte Carlo simulation of the mean-field population balance equation by tracking a sample of the population whose size (number of particles in the sample) is kept constant throughout the simulation. This method amounts to expanding or contracting the physical volume represented by the simulation so as to continuously maintain a reaction volume that contains constant number of particles. We call this method constant-number Monte Carlo to distinguish it from the more common constant-volume method. In this work, we expand the formulation to include any mechanism of interest to population balances, whether the total mass of the system is conserved or not. The main problem is to establish connection between the sample of particles in the simulation box and the volume of the physical system it represents. Once this connection is established all concentrations of interest can be determined. We present two methods to accomplish this, one by requiring that the mass concentration remain unaffected by any volume changes, the second by applying the same requirement to the number concentration. We find that the method based on the mass concentration is superior. These ideas are demonstrated with simulations of coagulation in the presence of either breakup or nucleation.
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U2 - 10.1016/S0009-2509(02)00114-8
DO - 10.1016/S0009-2509(02)00114-8
M3 - Article
AN - SCOPUS:0037189468
SN - 0009-2509
VL - 57
SP - 2241
EP - 2252
JO - Chemical Engineering Science
JF - Chemical Engineering Science
IS - 12
ER -