A new turbulence model for predicting fluid flow and heat transfer in separating and reattaching flows—II. Thermal field calculations

Abe, Ken; Kondoh, Tsuguo; Nagano, Yasutaka

doi:10.1016/0017-9310(94)00252-q

Cited by 318 publications

(113 citation statements)

References 24 publications

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“…Iizuka et al [24] also pointed out that the DM model significantly under-predicts the mean velocity values in the central region of channel flow. Inagaki et al [25] developed a new static type of the SGS model based on the "mixed timescale" concept proposed by Nagano et al [26]. The performance of this model was examined for flow over a two-dimensional hill by Iizuka and Kondo [27].…”

Section: Appearance Of Dynamic Sgs Models and Their Applications On Wmentioning

confidence: 99%

Prediction of wind environment and thermal comfort at pedestrian level in urban area

Mochida

Lun

2008

Journal of Wind Engineering and Industrial Aerodynamics

281

116

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Section: Appearance Of Dynamic Sgs Models and Their Applications On Wmentioning

confidence: 99%

Prediction of wind environment and thermal comfort at pedestrian level in urban area

Mochida

Lun

2008

Journal of Wind Engineering and Industrial Aerodynamics

281

116

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“…Constant values for these coefficients are usually assumed in applications for low-and high-speed reacting flows of engineering interest, even though values for these coefficients have been shown to vary spatially. [35][36][37][38][39][40][41][42][43][44][45] Table 1. As one would expect, reducing the turbulent Schmidt number consistently intensified combustion due to enhanced species diffusion processes.…”

Section: Reynolds Heamass Flux Vectormentioning

confidence: 99%

Modeling of High Speed Reacting Flows: Established Practices and Future Challenges

Baurle

2004

42nd AIAA Aerospace Sciences Meeting and Exhibit

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Computational fluid dynamics (CFD) has proven to be an invaluable tool for the design and analysis of highspeed propulsion devices. Massively parallel computing, together with the maturation of robust CFD codes, has made it possible to perform simulations of complete engine flowpaths. Steady-state Reynolds-Averaged Navier-Stokes simulations are now routinely used in the scramjet engine development cycle to determine optimal fuel injector arrangements, investigate trends noted during testing, and extract various measures of engine efficiency. Unfortunately, the turbulence and combustion models used in these codes have not changed significantly over the past decade. Hence, the CFD practitioner must often rely heavily on existing measurements (at similar flow conditions) to calibrate model coefficients on a caseby-case basis. This paper provides an overview of the modeled equations typically employed by commercialquality CFD codes for high-speed combustion applications. Careful attention is given to the approximations employed for each of the unclosed terms in the averaged equation set. The salient features (and shortcomings) of common models used to close these terms are covered in detail, and several academic efforts aimed at addressing these shortcomings are discussed.

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“…It was indicated in Ref. 4 that experiments in simple shear flows showed that the appropriate time scale for temperature fluctuations is proportional to the average of h τ and k τ . This is the basis for the modeling indicated in Eq.…”

Section: Governing Equationsmentioning

confidence: 99%

“…8. It should be noted that, traditionally 3,4 , the time scale of temperature fluctuations is taken as the geometric average of h τ and k τ .…”

Section: Governing Equationsmentioning

confidence: 99%

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Role of Turbulent Prandtl Number on Heat Flux at Hypersonic Mach Numbers

Xiao

Edwards

Hassan

et al. 2005

43rd AIAA Aerospace Sciences Meeting and Exhibit

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A new turbulence model suited for calculating the turbulent Prandtl number as part of the solution is presented. The model is based on a set of two equations: one governing the variance of the enthalpy and the other governing its dissipation rate. These equations were derived from the exact energy equation and thus take into consideration compressibility and dissipation terms. The model is used to study two cases involving shock wave/boundary layer interaction at Mach 9.22 and Mach 5.0. In general, heat transfer prediction showed great improvement over traditional turbulence models where the turbulent Prandtl number is assumed constant. It is concluded that using a model that calculates the turbulent Prandtl number as part of the solution is the key to bridging the gap between theory and experiment for flows dominated by shock wave/boundary layer interactions.

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A new turbulence model for predicting fluid flow and heat transfer in separating and reattaching flows—II. Thermal field calculations

Cited by 318 publications

References 24 publications

Prediction of wind environment and thermal comfort at pedestrian level in urban area

Prediction of wind environment and thermal comfort at pedestrian level in urban area

Modeling of High Speed Reacting Flows: Established Practices and Future Challenges

Role of Turbulent Prandtl Number on Heat Flux at Hypersonic Mach Numbers

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