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

Mykhaylo Krasnyk, Christian Borchert and Michael Mangold

Mathematical and Computer Modelling of Dynamical Systems, 2011, vol. 18, issue 4, 427-438

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.

Date: 2011
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/13873954.2011.642500 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:nmcmxx:v:18:y:2011:i:4:p:427-438

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/NMCM20

DOI: 10.1080/13873954.2011.642500

Access Statistics for this article

Mathematical and Computer Modelling of Dynamical Systems is currently edited by I. Troch

More articles in Mathematical and Computer Modelling of Dynamical Systems from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().