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  4. Fast algorithms for hp-discretized univariate population balance aggregation integrals
 
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Fast algorithms for hp-discretized univariate population balance aggregation integrals

Publikationstyp
Journal Article
Date Issued
2017-02-02
Sprache
English
Author(s)
Le Borne, Sabine  orcid-logo
Shahmuradyan, Lusine  
Institut
Mathematik E-10  
TORE-URI
http://hdl.handle.net/11420/3413
Journal
Computers & chemical engineering  
Volume
97
Start Page
1
End Page
12
Citation
Computers and Chemical Engineering (97) : 1-12 (2017-02-02)
Publisher DOI
10.1016/j.compchemeng.2016.11.002
Scopus ID
2-s2.0-84995570345
The efficient numerical simulation of population balance equations requires sophisticated techniques in order to combine accuracy with efficiency. We will focus on the numerical treatment of aggregation integrals that often dominate the overall time in population balance simulations. Following a finite element approach, the density distribution is discretized through a piecewise polynomial of order p > 0 on a nested grid that is refined locally toward an arbitrary point. The proposed method conserves mass while reducing the quadratic complexity (in the dimension of the solution space) of the direct computation to an almost linear complexity. The complexity improvement is based on recursion formulas exploiting orthogonality properties of basis functions along with FFT on locally equidistant portions of the grid. We present numerical results for various initial conditions and provide heuristic criteria for the choice of polynomial degree and grid refinement.
Subjects
Convolution
Fast Fourier transformation
High order polynomials
Integro-partial differential equation
Nested grids
Population balance equation
Funding(s)
SPP 1679: Teilprojekt "Numerische Lösungsverfahren für gekoppelte Populationsbilanzsysteme zur dynamischen Simulation multivariater Feststoffprozesse am Beispiel der formselektiven Kristallisation"  
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