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

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31#
發(fā)表于 2025-3-26 21:31:55 | 只看該作者
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
32#
發(fā)表于 2025-3-27 02:22:32 | 只看該作者
33#
發(fā)表于 2025-3-27 08:08:14 | 只看該作者
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
34#
發(fā)表于 2025-3-27 10:11:55 | 只看該作者
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.
35#
發(fā)表于 2025-3-27 14:24:11 | 只看該作者
36#
發(fā)表于 2025-3-27 18:41:43 | 只看該作者
Computational Fluid Dynamics for the Petrochemical Process Industry978-94-011-3632-7
37#
發(fā)表于 2025-3-28 01:03:28 | 只看該作者
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
38#
發(fā)表于 2025-3-28 02:15:43 | 只看該作者
39#
發(fā)表于 2025-3-28 08:35:41 | 只看該作者
40#
發(fā)表于 2025-3-28 12:05:42 | 只看該作者
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