2012
DOI: 10.1017/jfm.2012.67
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Modulation of turbulence in forced convection by temperature-dependent viscosity

Abstract: In this work, we run a numerical experiment to study the behaviour of incompressible Newtonian fluids with anisotropic temperature-dependent viscosity in forced convection turbulence. We present a systematic analysis of variable-viscosity effects, isolated from gravity, with relevance for aerospace cooling/heating applications. We performed an extensive campaign based on pseudo-spectral direct numerical simulations of turbulent water channel flow in the Reynolds number parameter space. We considered constant t… Show more

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Cited by 124 publications
(77 citation statements)
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“…Table II lists the maximum grid spacing in terms of the Batchelor scale η θ = η/ √ Pr (with η the Kolmogorov scale) for all cases. The values are within the resolution requirements of x < 12η θ , y < 2η θ , z < 6η θ , as also reported in other DNS studies [13,29].…”
Section: Simulation Detailssupporting
confidence: 89%
See 1 more Smart Citation
“…Table II lists the maximum grid spacing in terms of the Batchelor scale η θ = η/ √ Pr (with η the Kolmogorov scale) for all cases. The values are within the resolution requirements of x < 12η θ , y < 2η θ , z < 6η θ , as also reported in other DNS studies [13,29].…”
Section: Simulation Detailssupporting
confidence: 89%
“…In all such cases, the effects of thermophysical property variations can be strong enough to modulate turbulence and the traditional approach of treating temperature as a passive scalar no longer holds. Although turbulence modulation in a turbulent channel flow due to variable thermophysical properties has been investigated in great detail in high-Mach-number flows [9][10][11][12] and in low-Mach-number flows [13][14][15][16], the effect of property variations on scalar transport is not well understood. Lee et al [17] studied the influence of wall heating on turbulent thermal boundary layers with variable viscosity and observed variations in mean scalar, scalar fluctuation, and scalar flux, relative to a reference isothermal flow.…”
Section: Introductionmentioning
confidence: 99%
“…More complex stratified and rotating flows can also be envisaged in the future, with a wealth of new phenomena occurring, taking into consideration for example the effect of the walls on the energy budget [73], or the dependence of viscosity and diffusivity on temperature [74], leading in that case to intermittent bursts of heat transfer (see also [75] for strong intermittency in stratified flows). This opens the question of the validity of the assumption of a unit Prandtl number, at least in modeling approaches [74], the effect on thermal expansion seemingly being more important than that on viscosity [76].…”
Section: Discussionmentioning
confidence: 99%
“…This forms the basis for an ideal setup to study turbulence modification due to variable properties, and to compare scaling laws with isothermal flows, as compared to a case where the bottom and top walls are at different temperatures and therefore at different Reynolds numbers. 14,25 The co-ordinates x, y, z represent the stream-wise, the wall-normal, and the span-wise directions, respectively; the corresponding velocity vectors are represented as u, v, w. The mean statistics are obtained by averaging with respect to time and in homogeneous directions (x and z) using Reynolds and Favre averaging. For a generic variable γ, the Reynolds averaged mean γ and its fluctuation γ ′ are defined as γ = γ + γ ′ , with γ ′ = 0.…”
Section: A Governing Equations and Computational Approachmentioning
confidence: 99%