The current Karman-Nikuradse skin friction model does not account for compressibility effects (density and temperature variations in a turbulent compressible boundary layer). The consequence is that skin friction is currently over-predicted (depending on Mach at fixed Re, as much as 50%, but in the cases of interest, roughly 20%).
To fix this, the analytical, closed-form DeChant skin friction model will be implemented. This provides an empirical correlation between skin friction, Mach number, local to wall temperature ratio, and Reynolds number. The current model constants implement a recovery factor for air, and as tabulated, assumes γ = 1.4. The result is a three-dimensional interpolated table-lookup. For reacting cases, this interpolation may have to be replaced with an in-place root-finding for skin friction due to variable Prandtl number and γ in high temperatures and differing mass fractions.
The current Karman-Nikuradse skin friction model does not account for compressibility effects (density and temperature variations in a turbulent compressible boundary layer). The consequence is that skin friction is currently over-predicted (depending on Mach at fixed Re, as much as 50%, but in the cases of interest, roughly 20%).
To fix this, the analytical, closed-form DeChant skin friction model will be implemented. This provides an empirical correlation between skin friction, Mach number, local to wall temperature ratio, and Reynolds number. The current model constants implement a recovery factor for air, and as tabulated, assumes γ = 1.4. The result is a three-dimensional interpolated table-lookup. For reacting cases, this interpolation may have to be replaced with an in-place root-finding for skin friction due to variable Prandtl number and γ in high temperatures and differing mass fractions.