Turbulence hypothesis

These models are usually categorized according to the number of supplementary partial differential transport equations which must be solved to supply the modeling parameters. The so-called zero-equation models do not use any differential equation to describe the turbulent quantities. The best known example is the Prandtl (19) mixing length hypothesis ... 

It is not possible to translate the above reasoning to turbulent flow, as turbulent flow equations are not reliable. However, in practice it is typical to assume that the same analogy is also valid for turbulent flow. Because of this hypothesis level, it is quite futile to use the diffusion factor D g in the Schmidt number instead we will directly use the number D g as in the Sherwood number. Hence in practical calculations Sc = v/D b-... 

The hypothesis on the earlier transition from laminar to turbulent flow in micro-tubes is based on analysis of the dependence of pressure gradient on Reynolds number. As shown by the experimental data by Mala and Li (1999), this dependence may be approximated by three power functions AP Re (Re < 600),... 

To model the temporal behaviour of the turbulence induced aberrations we assume that a single layer of turbulence can be considered as frozen , but translated across the aperture by the wind. This is known as Taylor s frozen-flow hypothesis. The temporal behaviour can then be characterized by a time constant,... 

What happens is here that the floes evidently move into the thin boundary layers adjaeent to the hydraulieally smooth surfaees, where mueh of the energy is dissipated, with the result that the partieles are subjeeted to strong stresses beeause of the small volume of the boundary layers. This hypothesis is supported by the good eorrelation of the results for the smooth disc with the results for various impellers in Fig. 6 it was assumed here that in the case of the disc, the majority of the power is dissipated in the boundary-layer volume V5, and the relationship nj/e V/V5 is approximately valid. The volume of the boundary layer (Eq. (21)) was obtained by integration from the theoretical solution [65] for the thickness of the boundary layer (Eq. (21)) of a smooth disc with turbulent flow. 

When the concentration profile is fully developed, the mass-transfer rate becomes independent of the transfer length. Spalding (S20a) has given a theory of turbulent convective transfer based on the hypothesis that profiles of velocity, total (molecular plus eddy) viscosity, and total diffusivity possess a universal character. In that case the transfer rate k + can be written in terms of a single universal function of the transfer length L and fluid properties (expressed as a molecular and a turbulent Schmidt number) ... 

The velocities and other solution variables are now represented by Reynolds-averaged values, and the effects of turbulence are represented by the Reynolds stresses, (—pu pTl) that are modeled by the Boussinesq hypothesis ... 

The Reynolds-averaged approach is widely used for engineering calculations, and typically includes models such as Spalart-Allmaras, k-e and its variants, k-co, and the Reynolds stress model (RSM). The Boussinesq hypothesis, which assumes pt to be an isotropic scalar quantity, is used in the Spalart-Allmaras model, the k-s models, and the k-co models. The advantage of this approach is the relatively low computational cost associated with the computation of the turbulent viscosity, fit. For the Spalart-Allmaras model, one additional transport equation representing turbulent viscosity is solved. In the case of the k-e and k-co models, two additional transport equations for the turbulence kinetic energy, k, and either the turbulence dissipation rate, s, or the specific dissipation rate, co, are solved, and pt is computed as a function of k and either e or co. Alternatively, in the RSM approach, transport equations can be solved for each of the terms in the Reynolds stress tensor. An additional scale-determining equation (usually for s) is also required. This means that seven additional transport equations must be solved in 3D flows. 

Sleiched278 has indicated that this expression is not valid for pipe flows. In pipe flows, droplet breakup is governed by surface tension forces, velocity fluctuations, pressure fluctuations, and steep velocity gradients. Sevik and Park 279 modified the hypothesis of Kolmogorov, 280 and Hinze, 270 and suggested that resonance may cause droplet breakup in turbulent flows if the characteristic turbulence frequency equals to the lowest or natural frequency mode of an... 

The turbulence community refers to this work as Kolmogorov 41. A second article (Kolmogorov 1962) referred to as Kolmogorov 62 contains the refined Kolmogorov hypothesis. ... 

RANS turbulence models are the workhorse of CFD applications for complex flow geometries. Moreover, due to the relatively high cost of LES, this situation is not expected to change in the near future. For turbulent reacting flows, the additional cost of dealing with complex chemistry will extend the life of RANS models even further. For this reason, the chemical-source-term closures discussed in Chapter 5 have all been formulated with RANS turbulence models in mind. The focus of this section will thus be on RANS turbulence models based on the turbulent viscosity hypothesis and on second-order models for the Reynolds stresses. 

In analogy to (4.55), the turbulent flux terms in (4.78) are usually modeled by invoking a gradient-diffusion hypothesis 21... 

As this chapter is primarily concerned with single-drop performance, it seems best to omit consideration of drop sizes in highly turbulent liquid fields. The work of Shinnar and Church (S7), utilizing Kolmogo-roff s hypothesis of local isotropy, seems to bear excellent promise from a fundamental viewpoint. Correlating equations for predicting drop size in stirred tanks and mixers have been given by Treybal (T3). 

Prandtl s mixing length hypothesis (Prandtl, 1925) was developed for momentum transport, instead of mass transport. The end result was a turbulent viscosity, instead of a turbulent diffusivity. However, because both turbulent viscosity and turbulent diffusion coefficient are properties of the flow field, they are related. Turbulent viscosity describes the transport of momentum by turbulence, and turbulent diffusivity describes the transport of mass by the same turbulence. Thus, turbulent viscosity is often related to turbulent diffusivity as... 

C. PRANDTL S MIXING LENGTH HYPOTHESIS FOR TURBULENT FLOW... 

Pfenninger W (1967) A hypothesis of the reduction of the turbulent friction drag in fluid flows by means of additives Northrop Corp Norair Division Report BLC-179... 

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