Disentangling the origins of torque enhancement through wall roughness in Taylor-Couette turbulence
Xiaojue Zhu, Roberto Verzicco, Detlef Lohse

TL;DR
This study uses direct numerical simulations to analyze how wall roughness affects torque scaling and flow dynamics in turbulent Taylor-Couette flow, revealing that roughness enhances the effective scaling exponent and shifts dissipation towards the bulk.
Contribution
It demonstrates that wall roughness alters the torque scaling and flow dissipation mechanisms, providing new insights into turbulence behavior in Taylor-Couette systems with rough surfaces.
Findings
Rough wall torque scales as $Nu_r hicksim Ta_r^{0.47}$, close to the ultimate regime.
Smooth wall torque follows $Nu_s hicksim Ta_s^{0.38}$, consistent with smooth-wall cases.
Roughness shifts dissipation from the wall to the bulk, increasing the effective scaling exponent.
Abstract
Direct numerical simulations (DNSs) are performed to analyze the global transport properties of turbulent Taylor-Couette flow with inner rough wall up to Taylor number . The dimensionless torque shows an effective scaling of , which is steeper than the ultimate regime effective scaling seen for smooth inner and outer walls. It is found that at the inner rough wall, the dominant contribution to the torque comes from the pressure forces on the radial faces of the rough elements; while viscous shear stresses on the rough surfaces contribute little to . Thus, the log layer close to the rough wall depends on the roughness length scale, rather than on the viscous length scale. We then separate the torque contributed from the smooth inner wall and the rough outer wall. It is found that 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.
