LAPSE:2020.0566
Published Article
LAPSE:2020.0566
Approximate Moment Methods for Population Balance Equations in Particulate and Bioengineering Processes
June 10, 2020
Population balance modeling is an established framework to describe the dynamics of particle populations in disperse phase systems found in a broad field of industrial, civil, and medical applications. The resulting population balance equations account for the dynamics of the number density distribution functions and represent (systems of) partial differential equations which require sophisticated numerical solution techniques due to the general lack of analytical solutions. A specific class of solution algorithms, so-called moment methods, is based on the reduction of complex models to a set of ordinary differential equations characterizing dynamics of integral quantities of the number density distribution function. However, in general, a closed set of moment equations is not found and one has to rely on approximate closure methods. In this contribution, a concise overview of the most prominent approximate moment methods is given.
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Keywords
approximate moment methods, cell-to-cell variability, heterogeneity, moment methods, particle formation, population balance equations
Suggested Citation
Dürr R, Bück A. Approximate Moment Methods for Population Balance Equations in Particulate and Bioengineering Processes. (2020). LAPSE:2020.0566
Author Affiliations
Journal Name
Processes
Volume
8
Issue
4
Article Number
E414
Year
2020
Publication Date
2020-04-01
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr8040414, Publication Type: Review
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Published Article
LAPSE:2020.0566
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doi:10.3390/pr8040414
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[v1] (Original Submission)
Jun 10, 2020
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Jun 10, 2020
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https://psecommunity.org/LAPSE:2020.0566
Original Submitter
Calvin Tsay
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