TY - JOUR
T1 - Simulation of micro-behaviors including nucleation, growth, and aggregation in particle system
AU - Gu, Zhaolin
AU - Su, Junwei
AU - Jiao, Jianying
AU - Xu, X. Yun
PY - 2009/2
Y1 - 2009/2
N2 - A new method for the solution of population balance equations (PBE) describing the micro-processes such as nucleation, growth, aggregation of particle swarms in a multiphase system is proposed. The method is based on the fixed pivot moment and allows arbitrary number of moments to be tracked simultaneously. By expressing PBEs for both batch and continuous operations in a general form, and using weighted residual method to derive the moment equations, different moments can be tracked directly. The numerical density function is assumed to be a summation of several weighted Dirac Delta functions, and the integral and derivative terms in PBEs are transformed to a summation in order to reduce computational cost. Simulations of a batch nucleation-growth process and a continuous aggregation-growth process have demonstrated good agreement with the corresponding analytical solutions, with relative errors less than 10-8%. Simulation of a combined nucleation-growth-aggregation process, which does not have an analytical solution, is also included, so as to reproduce the micro-behaviors of such a complex system, demonstrating the feasibility and reliability of this method.
AB - A new method for the solution of population balance equations (PBE) describing the micro-processes such as nucleation, growth, aggregation of particle swarms in a multiphase system is proposed. The method is based on the fixed pivot moment and allows arbitrary number of moments to be tracked simultaneously. By expressing PBEs for both batch and continuous operations in a general form, and using weighted residual method to derive the moment equations, different moments can be tracked directly. The numerical density function is assumed to be a summation of several weighted Dirac Delta functions, and the integral and derivative terms in PBEs are transformed to a summation in order to reduce computational cost. Simulations of a batch nucleation-growth process and a continuous aggregation-growth process have demonstrated good agreement with the corresponding analytical solutions, with relative errors less than 10-8%. Simulation of a combined nucleation-growth-aggregation process, which does not have an analytical solution, is also included, so as to reproduce the micro-behaviors of such a complex system, demonstrating the feasibility and reliability of this method.
KW - Aggregation
KW - Growth
KW - Multiphase system
KW - Nucleation
KW - Population balance equation
UR - https://www.scopus.com/pages/publications/60249097001
U2 - 10.1007/s11426-009-0014-2
DO - 10.1007/s11426-009-0014-2
M3 - 文章
AN - SCOPUS:60249097001
SN - 1006-9291
VL - 52
SP - 241
EP - 248
JO - Science in China, Series B: Chemistry
JF - Science in China, Series B: Chemistry
IS - 2
ER -