Scalar statistics in variable property turbulent channel flows

Journal article (2017)

Authors

A. Patel Energy Technology - Mechanical, Maritime and Materials Engineering
B.J. Boersma Energy Technology - Mechanical, Maritime and Materials Engineering
Rene Pecnik Energy Technology - Mechanical, Maritime and Materials Engineering
Department
Process and Energy
Copyright: © 2017 A. Patel, B.J. Boersma, Rene Pecnik
DOI
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https://doi.org/10.1103/PhysRevFluids.2.084604
Turbulence Fluid Dynamics Boundary layers Forced convection
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Published Date

2017

Language

English

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Department

Process and Energy

Abstract

Direct numerical simulation of fully developed, internally heated channel flows with isothermal walls is performed using the low-Mach-number approximation of Navier-Stokes equation to investigate the influence of temperature-dependent properties on turbulent scalar statistics. Different constitutive relations for density ρ, viscosity μ, and thermal conductivity λ as a function of temperature are prescribed in order to characterize the turbulent scalar statistics. It is shown that the dominant effect caused by property variations on scalar statistics can be parameterized by two nondimensional parameters, namely the semilocal Reynolds number Re★τ≡Reτ√(¯ρ/ρw)/(¯¯μ/μw) (the bar and subscript w denote Reynolds averaging and wall value respectively, while Reτ is the friction Reynolds number based on wall values), and the local Prandtl number Pr★=Prw(¯¯μ/μw)/(¯λ/λw) (Prw is the molecular Prandtl number based on wall values). Near-wall gradients in Re★τ modulate the turbulent heat flux generation mechanism because of structural changes in turbulence. However, the influence of these modulations on the inner scaling of turbulent heat conductivity normalized by local mean viscosity is shown to be weak. Using this observation, a temperature transformation is derived that is invariant of Re★τ variations and only exhibits a Pr★-dependent shift.