<div class="csl-bib-body">
<div class="csl-entry">Garcia-Villalba, M., Colonius, T., Desjardins, O., Lucas, D., Mani, A., Marchisio, D., Matar, O. K., Picano, F., & Zaleski, S. (2025). Numerical methods for multiphase flows. <i>International Journal of Multiphase Flow</i>, <i>191</i>, Article 105285. https://doi.org/10.1016/j.ijmultiphaseflow.2025.105285</div>
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dc.identifier.issn
0301-9322
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/216432
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dc.description.abstract
Multiphase flows are ubiquitous in both nature and engineering. Over the past two to three decades, substantial progress has been made in developing numerical methods for simulating these complex flows. Yet, significant challenges persist in accurately capturing intricate interfacial dynamics and the multi-scale interactions inherent to multiphase systems. This review focuses on several key numerical approaches that have proven particularly relevant from both practical and theoretical perspectives. In particular, we discuss Volume-Of-Fluid techniques, level set methods, diffuse interface models, and front tracking methods, along with immersed boundary strategies designed for particle-laden flows. We also examine multi-fluid Eulerian frameworks, population balance models for reactive processes, and sub-grid scale techniques for handling unresolved dynamics. Furthermore, emerging hybrid strategies that integrate conventional numerical methods with data-driven machine learning techniques are highlighted as promising directions. In conclusion, while current methodologies offer valuable insights into multiphase flow behavior, continued interdisciplinary efforts are essential to enhance predictive accuracy, computational efficiency, and the overall applicability of these simulations to real-world challenges.
en
dc.language.iso
en
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dc.publisher
PERGAMON-ELSEVIER SCIENCE LTD
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dc.relation.ispartof
International Journal of Multiphase Flow
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dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
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dc.subject
Numerical Methods
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dc.subject
Multiphase Flow
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dc.title
Numerical methods for multiphase flows
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dc.type
Article
en
dc.type
Artikel
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.contributor.affiliation
California Institute of Technology, United States of America (the)
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dc.contributor.affiliation
Cornell University, United States of America (the)
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dc.contributor.affiliation
Helmholtz-Zentrum Dresden-Rossendorf, Germany
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dc.contributor.affiliation
Stanford University, United States of America (the)
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dc.contributor.affiliation
Polytechnic University of Turin, Italy
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dc.contributor.affiliation
Imperial College London, United Kingdom of Great Britain and Northern Ireland (the)