Pressure-Velocity Coupling in Transpiration Cooling
Sophie Hillcoat, Jean-Pierre Hickey

TL;DR
This study investigates pressure-velocity coupling in transpiration cooling, revealing how different coupling models affect flow behavior, cooling effectiveness, turbulence, and pressure fluctuations in aerospace thermal protection systems.
Contribution
It introduces a novel coupling approach using shallow CNNs to incorporate spatial correlations in pore-network simulations for transpiration cooling.
Findings
Coupling models significantly influence blowing and cooling effectiveness.
CNN-based coupling better captures lateral flow interactions.
Coupling alters turbulence characteristics and pressure fluctuation spectra.
Abstract
Transpiration cooling is an active thermal protection system of increasing interest in aerospace applications wherein a coolant is effused through a porous wall into a hot external flow. The present work focuses on the interaction between the high-temperature turbulent boundary layer and the pressure-driven coolant flow through the porous wall. Coupling functions were obtained from pore-network simulations to characterize the flow through the porous medium. These were then coupled to direct numerical simulations of a turbulent boundary layer over a massively-cooled flat plate. Two different types of coupling function were used: linear expressions, which do not account for flow interactions between neighbouring pores, and shallow convolutional neural networks (CNN) which incorporate spatial correlations. All coupled cases demonstrated a significant variation in blowing due to the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRanque-Hilsch vortex tube · Hydraulic and Pneumatic Systems · Geothermal Energy Systems and Applications
