Nonlinear model reduction of a continuous fluidized bed crystallizer

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

卷:289

Article

Mangold, Michael¹  Feng, Lihong¹  Khlopov, Dmytro¹  Palis, Stefan²  Benner, Peter¹  Binev, Daniel¹  Seidel-Morgenstern, Andreas¹ 

[1] Max Planck Inst Dynam Complex Tech Syst, D-39106 Magdeburg, Germany

[2] Univ Magdeburg, Inst Automat Engn, D-39106 Magdeburg, Germany

关键词: Crystallization;    Population balance equations;    Nonlinear model reduction;    Proper orthogonal decomposition;    Empirical interpolation;    Error estimation;   

DOI  :  10.1016/j.cam.2015.01.028

来源: Elsevier

【 摘 要 】

This work considers a system of a fluidized bed crystallizer and an ultrasonic attenuator, which separates an enantiomer from a liquid solution. A population balance model of the system shows autonomous oscillations over a wide range of operation conditions. Proper orthogonal decomposition is applied to obtain nonlinear reduced models of low order. An a posteriori error estimator is used to assess the quality of the reduced model during run time. (C) 2015 Elsevier B.V. All rights reserved.

【 授权许可】

Free