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Computational fluid dynamics (CFD) becomes increasingly important to simulate the complex turbulence flow in RS devices which has significant impact on the final DSD.
The benefit of this modification is that complex turbulence measurements can be avoided, which enhances the practical applicability of the approach.
Some recent studies have used more complex turbulence models, such as Large Eddy Simulation (LES), to overcome the perceived weaknesses of two-equation models.
These simulations are allowing more complex turbulence model development and validation for use in 3D multiphase computational fluid dynamics (M-CFD) codes.
Instead, straining and wrinkling were generally caused more geometrically complex turbulence, consisting of large groups of structures that could be multiply curved and intertwined.
As mentioned by Liu [9], the white noise phenomenon may cause the complex turbulence flow inside the suction region of the test pump.
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Methods and computing hardware advances have enabled accurate predictions of complex compressible turbulence phenomena, such as the generation of jet noise that motivates the present effort.
The present work is primarily motivated by the desire to provide a rational way for deciding how complex the turbulence model is required to be for a given application and to find out how the accuracy changes with model complexity.
For the complex mechanical turbulence by micro-louvered fins coupled with the problems of thermal interaction between air side and refrigerant side, the airflow distribution in such a compact fin-tube air-to-refrigerant heat exchanger is perceived as a compound and non-homogeneous behavior, which is always quite difficult to calculate.
Wind flows around trees are characterized by vortex shedding, high drag, and complex wake turbulence.
The third is to study the effect of the non-conservative proportion of splitting in obtaining the correct shock location for high speed complex shock-turbulence interactions.
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