Physics-based heat transfer correlation for transcritical channel flows and RANS evaluation in wall-normal momentum and heat flux prediction

Key Points

• Heat flux predictions improved using physics-based heat transfer correlations in transcritical flows, emphasizing accuracy.
• The largest discrepancies in momentum and heat flux were identified through detailed comparisons, highlighting errors in predictions.
• Analysis utilized RANS (Reynolds-Averaged Navier-Stokes) models to assess wall-normal momentum and heat flux in channel flows.
• Findings suggest that refining heat transfer correlations could enhance thermal performance in engineering applications.