Geometry-controlled heat transport pathways and optimal heat transfer in differentially heated cavities
Krishan Chand, Michael Quan, and Haoxiang Luo

TL;DR
This study uses direct numerical simulations to explore how cavity aspect ratio influences heat transfer regimes and optimal pathways in natural convection, revealing geometric confinement as a key control parameter.
Contribution
It systematically characterizes heat transfer regimes across aspect ratios and Rayleigh numbers, identifying optimal circulation anisotropy and providing a predictive framework for heat transfer optimization.
Findings
Four distinct power-law regimes of Nu as a function of aspect ratio.
Maximum heat flux occurs at a circulation anisotropy ratio of Re_u/Re_v ≈ 0.45.
Optimal aspect ratio scales as Γ_opt ∼ Ra^{-0.19}.
Abstract
We perform direct numerical simulations of natural convection in a differentially heated cavity over Rayleigh number -- at Prandtl number , systematically varying the aspect ratio over . Across this nearly three-decade range, the Nusselt number exhibits four distinct power-law regimes as a function of , arising solely from geometric confinement. We show that these transport regimes are governed by qualitative changes in the anisotropy and structure of the large-scale circulation (LSC), quantified by the ratio of Reynolds numbers based on the root-mean-square horizontal and vertical velocities, . For small , vertical confinement promotes a horizontally dominant LSC and strong enhancement of heat transport. At intermediate aspect ratios, the circulation reorganizes into an efficient heat-carrying structure for…
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.
