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Predicting drop sizes in turbulent emulsification : A review of Kolmogorov–Hinze theory

Ekelund, Hanna LU orcid and Håkansson, Andreas LU orcid (2026) In Chemical Engineering Research and Design 230. p.1079-1103
Abstract

Turbulent emulsification devices are used in many applications of chemical engineering. There is large need to predict the drop sizes resulting from such devices, for example in the context of designing new devices, modifying current design, or adapting designs to new products. The Kolmogorov-Hinze framework is the most used approach, much due to its simplicity and flexibility. However, there is not only one Kolmogorov-Hinze model but several, differing in modelling assumptions and on model complexity. This contribution provides a review focusing on how reliable the framework is in its current form for making predictions on new conditions, on when the different extended forms of the framework are needed to obtain a high predictive... (More)

Turbulent emulsification devices are used in many applications of chemical engineering. There is large need to predict the drop sizes resulting from such devices, for example in the context of designing new devices, modifying current design, or adapting designs to new products. The Kolmogorov-Hinze framework is the most used approach, much due to its simplicity and flexibility. However, there is not only one Kolmogorov-Hinze model but several, differing in modelling assumptions and on model complexity. This contribution provides a review focusing on how reliable the framework is in its current form for making predictions on new conditions, on when the different extended forms of the framework are needed to obtain a high predictive power, and on what are the limitations or missing pieces of understanding in contemporary literature. The perspective is that of a researcher or engineer interested in using Kolmogorov-Hinze theory to make predictions in an applied setting.

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author
and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Drop breakup, Emulsification, Emulsion, High-pressure homogenizer, Rotor-stator mixer, Turbulence
in
Chemical Engineering Research and Design
volume
230
pages
25 pages
publisher
Institution of Chemical Engineers
external identifiers
  • scopus:105041207126
ISSN
0263-8762
DOI
10.1016/j.cherd.2026.05.038
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2026 The Authors
id
10b0c610-315e-4a71-9676-8e03a2f504d6
date added to LUP
2026-06-16 09:04:33
date last changed
2026-06-17 13:16:06
@article{10b0c610-315e-4a71-9676-8e03a2f504d6,
  abstract     = {{<p>Turbulent emulsification devices are used in many applications of chemical engineering. There is large need to predict the drop sizes resulting from such devices, for example in the context of designing new devices, modifying current design, or adapting designs to new products. The Kolmogorov-Hinze framework is the most used approach, much due to its simplicity and flexibility. However, there is not only one Kolmogorov-Hinze model but several, differing in modelling assumptions and on model complexity. This contribution provides a review focusing on how reliable the framework is in its current form for making predictions on new conditions, on when the different extended forms of the framework are needed to obtain a high predictive power, and on what are the limitations or missing pieces of understanding in contemporary literature. The perspective is that of a researcher or engineer interested in using Kolmogorov-Hinze theory to make predictions in an applied setting.</p>}},
  author       = {{Ekelund, Hanna and Håkansson, Andreas}},
  issn         = {{0263-8762}},
  keywords     = {{Drop breakup; Emulsification; Emulsion; High-pressure homogenizer; Rotor-stator mixer; Turbulence}},
  language     = {{eng}},
  pages        = {{1079--1103}},
  publisher    = {{Institution of Chemical Engineers}},
  series       = {{Chemical Engineering Research and Design}},
  title        = {{Predicting drop sizes in turbulent emulsification : A review of Kolmogorov–Hinze theory}},
  url          = {{http://dx.doi.org/10.1016/j.cherd.2026.05.038}},
  doi          = {{10.1016/j.cherd.2026.05.038}},
  volume       = {{230}},
  year         = {{2026}},
}