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Symbolic Discretization of Population Models for Process Simulation

机译:用于过程仿真的总体模型的符号离散化

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摘要

A large number of chemical engineering processes are operated with one or more dispersed phases that can be modelled by the population balance approach comprising partial differentials of first order and integral terms over the population domain (1,2). The integral terms characterize intra particle phenomena e.g. breakage or agglomeration of particles. The population balance approach leads to partial differential equations (PEDs) or integro partial differential equations (IPDEs) which must be preprocessed for the application of standard numerical simulation or optimization tools. The PDEs, IPDEs and the related boundary conditions can be transformed into differential algebraic equations (DAEs) using the Method-of-Lines (MOL) approach (3). Thereby, a special treatment of the integral terms has to be considered. For the resulting overall DAEs, efficient numerical routines are available in simulation tools like Diva (4) or gPROMS (5).
机译:大量的化学工程过程以一个或多个分散相进行操作,这些相可以通过人口平衡方法建模,该方法包括在人口域(1,2)上一阶和积分项的偏微分。积分项表征颗粒内现象,例如颗粒破损或结块。人口平衡方法导致偏微分方程(PED)或整数偏微分方程(IPDE),必须对其进行预处理才能应用标准数值模拟或优化工具。使用线法(MOL)方法(3),可以将PDE,IPDE和相关的边界条件转换为微分代数方程(DAE)。因此,必须考虑对积分项的特殊处理。对于最终的总体DAE,Diva(4)或gPROMS(5)等仿真工具中提供了有效的数值例程。

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