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Estimation of turbulent fragmenting forces in a high-pressure homogenizer from computational fluid dynamics

Håkansson, Andreas LU ; Innings, Fredrik; Revstedt, Johan LU ; Trägårdh, Christian LU and Bergenståhl, Björn LU (2012) In Chemical Engineering Science 75. p.309-317
Abstract
The aim of this study was to find models for turbulent fragmenting forces in the high-pressure homogeniser from data available in Computational Fluid Dynamics (CFD) simulations with Reynolds Averaged Navier Stokes (RANS) turbulence models. In addition to the more common RANS k-epsilon turbulence models, a Multi-scale k-epsilon model was tested since experimental investigations of the geometry imply large differences in behaviour between turbulent eddies of different length-scales. Empiric models for the driving hydrodynamic factors for turbulent fragmentation using the extra information given by multi-scale simulations were developed. These models are shown to give a more reasonable approximation of local fragmentation than models based on... (More)
The aim of this study was to find models for turbulent fragmenting forces in the high-pressure homogeniser from data available in Computational Fluid Dynamics (CFD) simulations with Reynolds Averaged Navier Stokes (RANS) turbulence models. In addition to the more common RANS k-epsilon turbulence models, a Multi-scale k-epsilon model was tested since experimental investigations of the geometry imply large differences in behaviour between turbulent eddies of different length-scales. Empiric models for the driving hydrodynamic factors for turbulent fragmentation using the extra information given by multi-scale simulations were developed. These models are shown to give a more reasonable approximation of local fragmentation than models based on the previously used RANS k-epsilon models when comparing to hydrodynamic measurements in an experimental model. (C) 2012 Elsevier Ltd. All rights reserved. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
High-pressure homogenisation, Homogenisation, Turbulence, Fragmentation, Hydrodynamics, Fluid mechanics
in
Chemical Engineering Science
volume
75
pages
309 - 317
publisher
Elsevier
external identifiers
  • wos:000303826800033
  • scopus:84859709798
ISSN
0009-2509
DOI
10.1016/j.ces.2012.03.045
language
English
LU publication?
yes
id
86e13b7d-a6fb-4bfa-b08e-95c37d772128 (old id 2812840)
date added to LUP
2012-06-25 10:11:11
date last changed
2017-01-01 05:28:23
@article{86e13b7d-a6fb-4bfa-b08e-95c37d772128,
  abstract     = {The aim of this study was to find models for turbulent fragmenting forces in the high-pressure homogeniser from data available in Computational Fluid Dynamics (CFD) simulations with Reynolds Averaged Navier Stokes (RANS) turbulence models. In addition to the more common RANS k-epsilon turbulence models, a Multi-scale k-epsilon model was tested since experimental investigations of the geometry imply large differences in behaviour between turbulent eddies of different length-scales. Empiric models for the driving hydrodynamic factors for turbulent fragmentation using the extra information given by multi-scale simulations were developed. These models are shown to give a more reasonable approximation of local fragmentation than models based on the previously used RANS k-epsilon models when comparing to hydrodynamic measurements in an experimental model. (C) 2012 Elsevier Ltd. All rights reserved.},
  author       = {Håkansson, Andreas and Innings, Fredrik and Revstedt, Johan and Trägårdh, Christian and Bergenståhl, Björn},
  issn         = {0009-2509},
  keyword      = {High-pressure homogenisation,Homogenisation,Turbulence,Fragmentation,Hydrodynamics,Fluid mechanics},
  language     = {eng},
  pages        = {309--317},
  publisher    = {Elsevier},
  series       = {Chemical Engineering Science},
  title        = {Estimation of turbulent fragmenting forces in a high-pressure homogenizer from computational fluid dynamics},
  url          = {http://dx.doi.org/10.1016/j.ces.2012.03.045},
  volume       = {75},
  year         = {2012},
}