Predicting drop sizes in turbulent emulsification : A review of Kolmogorov–Hinze theory
(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.
(Less)
- author
- Ekelund, Hanna
LU
and Håkansson, Andreas
LU
- organization
- publishing date
- 2026-06
- 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}},
}