Analysis of breakage kernels for population balance modelling

The accurate prediction of droplet sizes is fundamental in many industrial applications. In order to be able to simulate the evolution of a size distribution, suitable kernels should be used in the population balance. In this paper we make use of four different breakage kernels in order to predict a...

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Bibliographic Details
Published inChemical engineering science Vol. 64; no. 3; pp. 501 - 508
Main Authors Patruno, L.E., Dorao, C.A., Svendsen, H.F., Jakobsen, H.A.
Format Journal Article
LanguageEnglish
Published Kidlington Elsevier Ltd 01.02.2009
Elsevier
Subjects
Applied sciences
Breakage kernel
Chemical engineering
Exact sciences and technology
Least squares method
Population balance
Least squares method
Population balance
Breakage kernel
Particle size
Particle size distribution
Morphology
Prediction
Droplet
Modeling
Inverse problem
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Summary:The accurate prediction of droplet sizes is fundamental in many industrial applications. In order to be able to simulate the evolution of a size distribution, suitable kernels should be used in the population balance. In this paper we make use of four different breakage kernels in order to predict a size distribution and compare the results among them as well as with experimental data. Two breakage kernels are derived from inverse problems and the other two are derived from physical or empirical interpretations. The Sauter mean diameter, a moments-based error and Gaussian shape factors were used to compare between the resulting distributions.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0009-2509
1873-4405
DOI:10.1016/j.ces.2008.09.029