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Automatic Model Reduction of Linear Population Balance Models by Proper Orthogonal Decomposition

机译:通过适当的正交分解自动减少线性人口平衡模型的模型

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This paper discusses the use of Proper Orthogonal Decomposition (POD) for the model reduction of particle processes in fluid flow described by Population Balance Equations (PBEs). This class of processes is very important for chemical engineering. As detailed models of such processes turn out to be very complicated, POD is an attractive way to obtain reduced models of low order. This paper reports on the automatization of the mentioned method. An automatic procedure for the reduction of PBE models is presented, which is implemented in the modeling and simulation environment ProMoT/Diana. Currently, the procedure is applicable to linear models, but is extendable to nonlinear models, as well.
机译:本文讨论了使用“正交分解”(POD)来通过“人口平衡方程”(PBE)描述的流体流中的粒子过程模型化还原。此类过程对于化学工程非常重要。由于此类过程的详细模型非常复杂,因此POD是获得低阶简化模型的一种有吸引力的方法。本文报告了上述方法的自动化。提出了减少PBE模型的自动程序,该程序在建模和仿真环境ProMoT / Diana中实现。当前,该过程适用于线性模型,但也可以扩展到非线性模型。

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