URANS computations for a complex internal isothermal flow

Tucker, Paul G.; Pan, Zhiqiu

doi:10.1016/s0045-7825(00)00266-8

Cited by 14 publications

(20 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This factor in part makes the current zonal studies sensible. This paper extends previous (U)RANS [13,14] studies of this unsteady complex geometry ow. The applicability of above-mentioned hybrid (I)LES-RANS, LNS and DES approaches is considered.…”

Section: Introductionsupporting

confidence: 82%

“…For mean velocity proÿles and turbulence intensities comparisons are made with the LDA measurements of Tucker and Pan [13]. These are available at the six proÿles shown in Figure 2.…”

Section: Resultsmentioning

confidence: 99%

“…Wall 'distances'd (again the tilde highlights that a variable with two quite di erent contexts can be used) are either evaluated using Poisson [13], Eikonal or HJ equations. The HJ equation [7] is expressed as…”

Section: Wall Distance Functionmentioning

confidence: 99%

“…The interface between the k-l and the EASM is set at y * int = 60(y * = yC 1=4 k 1=2 = ). The ow equations are solved using a standard LES suitable staggered grid ÿnite volume code [13]. Second order central di erences are used to discretize the convective and di usion terms.…”

Section: Boundary Conditions and Numerical Detailsmentioning

confidence: 99%

See 3 more Smart Citations

Contrasting a novel temporally orientated Hamilton–Jacobi‐equation‐based ILES method with other approaches for a complex geometry flow

Tucker

Liu

2005

Numerical Methods in Fluids

View full text Add to dashboard Cite

SUMMARYFlow and heat transfer inside an idealized electronics system is simulated using large-eddy simulation (LES)-related approaches that have been validated for simpler canonical ows. These include: Yoshizawa LES, detached eddy simulation (DES), limited numerical scales (LNS) and other hybrid LES-RANS (Reynolds-averaged Navier-Stokes) approaches including a new ILES (implicit LES)-RANS method. For the ILES, dissipation from the one legged temporal discretization is used to drain turbulence. The use of di erential equations, including the Hamilton-Jacobi and Eikonal, to model turbulence distance functions is explored. The Hamilton-Jacobi is shown to be especially compatible with the zonal RANS-ILES approach and the Eikonal with DES. Performances of the LES-related methods are compared with explicit algebraic stress unsteady RANS (URANS) results and also measurements. Considering the problem complexity, generally, for all methods, predicted mean velocities and turbulence intensities are in a reasonable agreement with measurements. Average errors are 15 and 25%, respectively. With the exception of the zonal ILES-RANS method, turbulence intensities are underpredicted. For heat transfer, none of the models performs well giving circa 100% errors. Notably, the LNS performs poorly for both the ow ÿeld and heat transfer giving a highly complex RANS-LES interface with inappropriate upstream LES boundary conditions. DES is found impossible to converge. This is partly attributed to the irregular LES-RANS interface arising with the method. All the LES approaches signiÿcantly underpredict heat transfer and the URANS over-predicts. Even the increased ow activity arising from use of the less dissipative ILES element does not prevent the signiÿcant heat transfer under-prediction.

show abstract

Section: Introductionsupporting

confidence: 82%

“…For mean velocity proÿles and turbulence intensities comparisons are made with the LDA measurements of Tucker and Pan [13]. These are available at the six proÿles shown in Figure 2.…”

Section: Resultsmentioning

confidence: 99%

Section: Wall Distance Functionmentioning

confidence: 99%

Section: Boundary Conditions and Numerical Detailsmentioning

confidence: 99%

See 2 more Smart Citations

Contrasting a novel temporally orientated Hamilton–Jacobi‐equation‐based ILES method with other approaches for a complex geometry flow

Tucker

Liu

2005

Numerical Methods in Fluids

View full text Add to dashboard Cite

show abstract

“…The governing equations are solved using standard finite volume methods (see Tucker and Pan, 2001;Roychowdhury et al, 1999). Time integrations involve using a second-order Crank-Nicholson scheme for both convective and viscous terms.…”

Section: Numerical Schemementioning

confidence: 99%

Unsteady laminar flow and convective heat transfer in a sharp 180° bend

Chung

Tucker

Roychowdhury

2003

International Journal of Heat and Fluid Flow

View full text Add to dashboard Cite

URANS computations for an oscillatory non‐isothermal triple‐jet using the k–ε and second moment closure turbulence models

Nishimura

Kimura²

2003

Numerical Methods in Fluids

View full text Add to dashboard Cite

SUMMARYLow Reynolds number turbulence stress and heat flux equation models (LRSFM) have been developed to enhance predictive capabilities. A new method is proposed for providing the wall boundary condition for dissipation rate of turbulent kinetic energy, , to improve the model capability upon application of coarse meshes for practical use. The proposed method shows good agreement with accepted correlations and experimental data for ows with various Reynolds and Prandtl numbers including transitional regimes. Also, a mesh width about 5 times or larger than that used in existing models is applicable by using the present boundary condition. The present method thus enhanced computational e ciency in applying the complex turbulence model, LRSFM, to predictions of complicated ows. Unsteady Reynolds averaged Navier-Stokes (URANS) computations are conducted for an oscillatory non-isothermal quasiplanar triple-jet. Comparisons are made between an experiment and predictions with the LRSFM and the standard k-model. A water test facility with three vertical jets, the cold in between two hot jets, simulates temperature uctuations anticipated at the outlet of a liquid metal fast reactor core. The LRSFM shows good agreement with the experiment, with respect to mean proÿles and the oscillatory motion of the ow, while the k-model under-predicts the mixing due to the oscillation, such that a transverse mean temperature di erence remains far downstream.

show abstract

URANS computations for a complex internal isothermal flow

Cited by 14 publications

References 19 publications

Contrasting a novel temporally orientated Hamilton–Jacobi‐equation‐based ILES method with other approaches for a complex geometry flow

Contrasting a novel temporally orientated Hamilton–Jacobi‐equation‐based ILES method with other approaches for a complex geometry flow

Unsteady laminar flow and convective heat transfer in a sharp 180° bend

URANS computations for an oscillatory non‐isothermal triple‐jet using the k–ε and second moment closure turbulence models

Contact Info

Product

Resources

About