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Model reduction techniques for the simulation of particle populations in fluid flow

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  • Mykhaylo Krasnyk
  • Christian Borchert
  • Michael Mangold

Abstract

Crystallization processes are characterized by a close interaction between particle formation and fluid flow. A detailed physical description of these processes leads to complicated high-order models whose numerical solution is challenging and expensive. For advanced process control and other model-based online applications, reduced-order models are required. In this work, a reduced model for a urea crystallizer is developed using the method of moments for the internal coordinate and proper orthogonal decomposition for the external coordinate. Simulations are carried out to compare the reduced model with the detailed reference model.

Suggested Citation

  • Mykhaylo Krasnyk & Christian Borchert & Michael Mangold, 2011. "Model reduction techniques for the simulation of particle populations in fluid flow," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 18(4), pages 427-438, October.
    • Handle: RePEc:taf:nmcmxx:v:18:y:2011:i:4:p:427-438
    DOI: 10.1080/13873954.2011.642500
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