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Computational Models for Polydisperse Particulate and Multiphase Systems

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Computational Models for Polydisperse Particulate and Multiphase Systems

All-inclusive introduction to polydisperse multiphase flows linking theory to practice through numerous real-world examples and MATLAB\u00AE scripts for key algorithms.

Daniele L. Marchisio (Author), Rodney O. Fox (Author)

9780521858489, Cambridge University Press

Hardback, published 28 March 2013

544 pages

25.3 x 17.8 x 2.8 cm, 1.21 kg

Providing a clear description of the theory of polydisperse multiphase flows, with emphasis on the mesoscale modelling approach and its relationship with microscale and macroscale models, this all-inclusive introduction is ideal whether you are working in industry or academia. Theory is linked to practice through discussions of key real-world cases (particle/droplet/bubble coalescence, break-up, nucleation, advection and diffusion and physical- and phase-space), providing valuable experience in simulating systems that can be applied to your own applications. Pr]

Computational Models for Polydisperse Particulate and Multiphase Systems

Computational Models for Polydisperse Particulate and Multiphase Systems

All-inclusive introduction to polydisperse multiphase flows linking theory to practice through numerous real-world examples and MATLAB\u00AE scripts for key algorithms.

Daniele L. Marchisio (Author), Rodney O. Fox (Author)

9780521858489, Cambridge University Press

Hardback, published 28 March 2013

544 pages

25.3 x 17.8 x 2.8 cm, 1.21 kg

Providing a clear description of the theory of polydisperse multiphase flows, with emphasis on the mesoscale modelling approach and its relationship with microscale and macroscale models, this all-inclusive introduction is ideal whether you are working in industry or academia. Theory is linked to practice through discussions of key real-world cases (particle/droplet/bubble coalescence, break-up, nucleation, advection and diffusion and physical- and phase-space), providing valuable experience in simulating systems that can be applied to your own applications. Pr]

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