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Titlebook: IUTAM Symposium on Turbulent Mixing and Combustion; Proceedings of the I A. Pollard,S. Candel Conference proceedings 2002 Springer Science+

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樓主: Embolism
51#
發(fā)表于 2025-3-30 10:52:10 | 只看該作者
A Model Description of the Effects of Variable Fuel-Air Mixture Composition on Turbulent Flame Proparbulent flame propagating steadily into frozen turbulence and frozen fuel-air distribution, and provides a convenient framework to test the modified CFM model. In this simplified but somewhat generic configuration, the following trends are predicted: for small variations in mixture strength, .... in
52#
發(fā)表于 2025-3-30 12:48:41 | 只看該作者
Challenges in Modeling Scalars in Turbulence and LESresults without the need to tune the model coefficient. In the context of applying the dynamic model to premixed combustion, or other physical processes with large scale-separations, we show that the dynamic determination of unknown scaling exponents is a more promising approach than dynamic evaluat
53#
發(fā)表于 2025-3-30 18:51:47 | 只看該作者
54#
發(fā)表于 2025-3-30 21:15:59 | 只看該作者
Challenges in Turbulent Mixing with Combustionpy in turbulence and mixing. Experiments in high-speed shear layers elucidate some effects of compressibility on the mixed-fluid field. Issues involving molecular-transport coefficients will also be discussed.
55#
發(fā)表于 2025-3-31 03:49:43 | 只看該作者
56#
發(fā)表于 2025-3-31 07:24:15 | 只看該作者
57#
發(fā)表于 2025-3-31 12:23:45 | 只看該作者
58#
發(fā)表于 2025-3-31 13:49:12 | 只看該作者
Compressibility Effects on the Scalar Mixing in Reacting Homogeneous Turbulence reaction. This effect is explained by considering the transport equation for the normalized mixture fraction gradient variance and the relative orientation between the mixture fraction gradient and the eigenvectors of the solenoidal strain rate tensor.
59#
發(fā)表于 2025-3-31 19:58:41 | 只看該作者
60#
發(fā)表于 2025-4-1 01:14:59 | 只看該作者
Downstream Evolution of the Most Energetic POD Modes in the Mixing Layer of a High Reynolds Number Ad, for the higher azimuthal modes, the peak shifts to lower mode numbers and actually increases with downstream distance. These mixing layer data, normalized by similarity variables for the mixing layer, collapse at all downstream positions and are nearly independent of Reynolds numbers.
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