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Tracking complexity in multiphase flow simulations Mason, Lachlan
Description
Multiphase flows are central to many manufacturing and processing technologies, with applications spanning energy generation, material science and biomedical settings. Despite advancing computational resources, the complex dynamics of production processes are challenging to simulate, and the use of empirical correlations remains the norm. This talk will summarise recent efforts to develop predictive numerical tools that can be used as a basis for engineering design. In a multi-fidelity approach, we apply highly resolved hybrid front-tracking techniques to clarify fundamental flow features, and utilise low-cost simulation variants to address engineering design questions. We will share simulation results inspired by industrially relevant problems related to liquidâ liquid displacements in pipe flows, mixing of miscible and immiscible fluids, two-phase flows with and without surfactants, and two- and three-phase microfluidics, amongst others. The simulation techniques presented can be coupled to novel surrogate models for exploiting advances in optimisation and machine learning, being the new frontier in multiphase fluid dynamics.
Item Metadata
Title |
Tracking complexity in multiphase flow simulations
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Creator | |
Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
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Date Issued |
2018-08-21T14:30
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Description |
Multiphase flows are central to many manufacturing and processing technologies, with applications spanning energy generation, material science and biomedical settings. Despite advancing computational resources, the complex dynamics of production processes are challenging to simulate, and the use of empirical correlations remains the norm. This talk will summarise recent efforts to develop predictive numerical tools that can be used as a basis for engineering design. In a multi-fidelity approach, we apply highly resolved hybrid front-tracking techniques to clarify fundamental flow features, and utilise low-cost simulation variants to address engineering design questions. We will share simulation results inspired by industrially relevant problems related to liquidâ liquid displacements in pipe flows, mixing of miscible and immiscible fluids, two-phase flows with and without surfactants, and two- and three-phase microfluidics, amongst others. The simulation techniques presented can be coupled to novel surrogate models for exploiting advances in optimisation and machine learning, being the new frontier in multiphase fluid dynamics.
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Extent |
25.0
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Subject | |
Type | |
File Format |
video/mp4
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Language |
eng
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Notes |
Author affiliation: Imperial College London
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Series | |
Date Available |
2019-03-23
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0377369
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Postdoctoral
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International