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Computational Methods for Multiphase Flow
Abstract
Thanks to high-speed computers and advanced algorithms, the important field of modelling multiphase flows is an area of rapid growth. This one-stop account – now in paperback, with corrections from the first printing – is the ideal way to get to grips with this topic, which has significant applications in industry and nature. Each chapter is written by an acknowledged expert and includes extensive references to current research. All of the chapters are essentially independent and so the book can be used for a range of advanced courses and the self-study of specific topics. No other book covers so many topics related to multiphase flow, and it will therefore be warmly welcomed by researchers and graduate students of the subject across engineering, physics, and applied mathematics.
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Citations
Cited by
Turbulent Dispersed Multiphase Flow
Balachandar, S., & Eaton, J. K. (2010) · Annual Review of Fluid Mechanics · doi:10.1146/annurev.fluid.010908.165243 · Cited by 1,771
An improved immersed boundary method with direct forcing for the simulation of particle laden flows
Kempe, T., & Fröhlich, J. (2012) · Journal of Computational Physics · doi:10.1016/j.jcp.2012.01.021 · Cited by 398
Numerical Methods for Dispersed Multiphase Flows
Sommerfeld, M. (2017) · Advances in Mathematical Fluid Mechanics · doi:10.1007/978-3-319-60282-0_6 · Cited by 78
Modeling and Simulation of Photobioreactors with Computational Fluid Dynamics—A Comprehensive Review
Luzi, G., & McHardy, C. (2022) · Energies · doi:10.3390/en15113966 · Cited by 44
Metadata
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2007-03-29
- OpenAlex
- W1587335451
- Cited by
- 820
- References
- 0
- FWCI
- 10.17
- Type
- book
- Language
- en
- Open access
- closed
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- Computational Methods for Multiphase Flow. (2007). Cambridge University Press eBooks. https://doi.org/10.1017/cbo9780511607486
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
