Effect of Reynolds number on a slightly heated turbulent boundary layer

Subramanian, Chelakara; Antonia, R. A.

doi:10.1016/0017-9310(81)90149-6

Cited by 87 publications

(44 citation statements)

References 20 publications

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“…Subramanian and Antonia [12] obtained temperature fluctuation measurements in a turbulent boundary layer on a slightly heated smooth plate. Zero pressure gradients applied in this experiment.…”

Section: A Brief Review Of Existing Datamentioning

confidence: 99%

“…To deduce temperature fluctuations in the nozzle exit flows of the gun tunnel and shock tunnel, we have adopted the experimental results of Subramanian and Antonia [12], see Fig. 1.…”

Section: B Approachmentioning

confidence: 99%

“…1. The original data of [12] was presented in terms of Reynolds numbers based on the boundary layer momentum thickness. However, for convenience, we have assumed fully developed turbulent pipe flow in the gun and shock tunnel nozzle reservoir regions.…”

Section: B Approachmentioning

confidence: 99%

“…However, for convenience, we have assumed fully developed turbulent pipe flow in the gun and shock tunnel nozzle reservoir regions. We apply the results of [12] to our assumed fully developed turbulent pipe flows by converting the momentum thickness Reynolds number to a friction velocity Reynolds numbers (Re τ ) based on the velocity boundary layer thickness as reported in data of [12]. When converted to Re τ , the Subramanian and Antonia data corresponds to friction velocity Reynolds numbers of Re τ = 371, 559, 1055, 1441, 1986, and 2273.…”

Section: B Approachmentioning

confidence: 99%

“…When converted to Re τ , the Subramanian and Antonia data corresponds to friction velocity Reynolds numbers of Re τ = 371, 559, 1055, 1441, 1986, and 2273. We then apply the data of [12] results in the two cases of interest (gun and shock tunnel flows) by extrapolating their data to the appropriate pipe flow Re τ value (based on the pipe radius) for the nozzle reservoir region.…”

Section: B Approachmentioning

confidence: 99%

See 4 more Smart Citations

Deduction of temperature fluctuations in transient compression wind tunnels using incompressible turbulent flow data

Widodo

Buttsworth

2009

2009 3rd International Conference on Energy and Environment (ICEE)

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Section: A Brief Review Of Existing Datamentioning

confidence: 99%

“…To deduce temperature fluctuations in the nozzle exit flows of the gun tunnel and shock tunnel, we have adopted the experimental results of Subramanian and Antonia [12], see Fig. 1.…”

Section: B Approachmentioning

confidence: 99%

Section: B Approachmentioning

confidence: 99%

Section: B Approachmentioning

confidence: 99%

Section: B Approachmentioning

confidence: 99%

See 3 more Smart Citations

Deduction of temperature fluctuations in transient compression wind tunnels using incompressible turbulent flow data

Widodo

Buttsworth

2009

2009 3rd International Conference on Energy and Environment (ICEE)

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Large eddy simulation of a developing turbulent boundary layer at a low Reynolds number

Tsai

Leslie

1990

Numerical Methods in Fluids

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SUMMARYA spectral code has been used to simulate a developing turbulent boundary layer at low Reynolds number Re, (based on free stream velocity and momentum thickness) between 353 and 576. The starting field was generated by allowing a step change of temperature to diffuse outwards from one wall in a fully developed channel flow. The thermal boundary layer so created was conditionally sampled to convert it into a momentum boundary layer with an irrotational free stream region, a process which is justified by appeal to experiments. This initial field was allowed to develop until the momentum bsundary layer thickness a, , ,had grown to about 1.5 times its Original thickness. The results of the simulation have been compared with a wide range of experimental data. The outcome of this comparison is generally very satisfactory; the main trends of the experiments are well reproduced and our simulation supplements and extends the existing sets of experimental data. The simulation also gives pressure statistics which cannot be obtained experimentally. In particular, it gives the contribution of pressure diffusion to the balance equations for the Reynolds stress and indicates the error produced by omitting this term.

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Direct numerical simulation of turbulent forced convection in a pipe

Piller

2005

Numerical Methods in Fluids

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Direct numerical simulations (DNS) are carried out to study fully developed turbulent pipe flow and heat transfer at Reynolds number Rem ≈ 5300 based on bulk velocity and pipe diameter. This paper provides detailed information on the mean properties and turbulence statistics up to fourth order, the budget and the wavenumber spectra of the temperature fluctuations, for three different wall boundary conditions. To investigate the differences between fully developed turbulent heat transfer in axisymmetric pipe and plane channel geometry, the present DNS results are compared to those obtained from channel flow simulations. The differences between channel and pipe flow statistics are modest and reveal that the temperature fluctuations in the pipe are slightly more intense. The present results show that the mean temperature profile does not conform to the accepted law of the wall. The boundary conditions affect the turbulence statistics both in the near-wall and core regions; this observation complements previous studies concerning different flow and heat transfer configurations

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Effect of Reynolds number on a slightly heated turbulent boundary layer

Cited by 87 publications

References 20 publications

Deduction of temperature fluctuations in transient compression wind tunnels using incompressible turbulent flow data

Deduction of temperature fluctuations in transient compression wind tunnels using incompressible turbulent flow data

Large eddy simulation of a developing turbulent boundary layer at a low Reynolds number

Direct numerical simulation of turbulent forced convection in a pipe

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