HYBRID CONTINUOUS TIME-MONTE CARLO SIMULATION OF DISPERSE SYSTEMS

被引：0

作者：

Lakatos, Bela G. ^{[1
]}

Barkanyi, Agnes ^{[1
]}

Nemeth, Sandor ^{[1
]}

机构：

[1] Univ Pannonia, Dept Proc Engn, H-8200 Veszprem, Hungary

来源：

EUROPEAN SIMULATION AND MODELLING CONFERENCE 2013 | 2013年

关键词：

Disperse system; Multidimensional population balance equation; Hybrid continuous time-Monte Carlo algorithm; Simulation; Suspension polymerization; Micro-mixing; POPULATION BALANCE-EQUATIONS; STOCHASTIC SIMULATION; COAGULATION; DISCRETIZATION; MODEL;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A hybrid continuous time-Monte Carlo method for solution of equations of a detailed population balance model is presented for two phase disperse systems perfectly mixed on macrolevel. The dispersed phase is described by a population balance equation including aggregation or coalescence and breakage of particles, as well as collision induced exchange of mass of species and heat between the particles. The resulted population balance equation is solved by coupling the deterministic continuous time computation of heat and mass balances and chemical reactions with the random discrete time events of particles population using Monte Carlo simulation. Applicability of the method is illustrated by simulation of a suspension polymerization reactor and a continuous stirred tank coalescence/redispersion reactor.

引用

页码：13 / 20

页数：8

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