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Wicking in Porous Materials

- Traditional and Modern Modeling Approaches

Om Wicking in Porous Materials

This reference offers information on the current science and recent advances of wicking in porous materials. The book describes various modeling approaches, traditional and modern, but maintains an emphasis on the modern methodologies. A host of internationally recognized scientists and researchers contribute chapters to this book to describe the physics of wicking and the different approaches available for modeling wicking. Chapters cover capillary models (such as the Lucas-Washburn equation), sharp-front single phase-flow models, two-phase flow models (such as the Richard equation), network models, a Lattice-Boltzmann model, a mixture-theory based model, and a fractal-based modeling approach. The authors emphasize experimental validation of theoretical and numerical predictions along with experimental measurement of the necessary parameters.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9781439874325
  • Bindende:
  • Hardback
  • Sider:
  • 380
  • Utgitt:
  • 26. oktober 2012
  • Dimensjoner:
  • 163x239x25 mm.
  • Vekt:
  • 704 g.
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 15. oktober 2025

Beskrivelse av Wicking in Porous Materials

This reference offers information on the current science and recent advances of wicking in porous materials. The book describes various modeling approaches, traditional and modern, but maintains an emphasis on the modern methodologies. A host of internationally recognized scientists and researchers contribute chapters to this book to describe the physics of wicking and the different approaches available for modeling wicking. Chapters cover capillary models (such as the Lucas-Washburn equation), sharp-front single phase-flow models, two-phase flow models (such as the Richard equation), network models, a Lattice-Boltzmann model, a mixture-theory based model, and a fractal-based modeling approach. The authors emphasize experimental validation of theoretical and numerical predictions along with experimental measurement of the necessary parameters.

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