Titlebook: Computational Fluid Dynamics for the Petrochemical Process Industry; R. V. A. Oliemans Book 1991 Springer Science+Business Media Dordrecht

发怨言

Use of a Monte Carlo PDF method in a study of the influence of turbulent fluctuations on selectivitlements representing convection, diffusion, mixing and reaction are derived. A simplified model and solution algorithm which neglects the influence of turbulent fluctuations on mean reaction rates is also described. Both algorithms are applied to a selectivity problem in a real reactor studied earli

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R. C. Churchill,G. Pecelli,D. L. Rodlements representing convection, diffusion, mixing and reaction are derived. A simplified model and solution algorithm which neglects the influence of turbulent fluctuations on mean reaction rates is also described. Both algorithms are applied to a selectivity problem in a real reactor studied earli

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Laura Sacerdote,Maria Teresa Giraudoe interface play an important role. A linear stability analysis of plane Poiseuille-Couette flow can predict the wavelength in agreement with experimental results even far beyond the critical point. No non-linear analysis is available as yet.

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Computational Fluid Dynamics for the Petrochemical Process Industry978-94-011-3632-7

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Book 1991ors. Four themes were addressed: turbulent reacting and non-reacting flow, dispersed multiphase flow, separated two-phase flow and fluid flow simulation tools. The capabilities and limitations of a sequence of turbulence flow models, from the relatively simple k-£ model to direct numerical simulatio

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