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Influence of surface roughness topography on heat transfer in turbulent flows

Garg, Himani LU orcid ; Nogenmyr, Karl-Johan and Stroh, Alexander (2026)
Abstract
This study models Additive Manufacturing (AM) roughness using a statistical distribution of spheres and performs high-fidelity simulations at a bulk Reynolds number of 12,000 and a large range of Prandtl numbers to evaluate heat transfer on a rough pipe. Statistical measures were deployed to highlight a clear correlation between roughness features and heat transfer. To directly connect surface topography with local heat transfer, the roughness height map was classified into quantile-based roughness zones: canyons, lower slopes, up per slopes, and tips. Probability density functions of the normalized Nusselt number in these zones reveal a clear stratification of convective performance: canyon regions exhibit the lowest heat transfer due to... (More)
This study models Additive Manufacturing (AM) roughness using a statistical distribution of spheres and performs high-fidelity simulations at a bulk Reynolds number of 12,000 and a large range of Prandtl numbers to evaluate heat transfer on a rough pipe. Statistical measures were deployed to highlight a clear correlation between roughness features and heat transfer. To directly connect surface topography with local heat transfer, the roughness height map was classified into quantile-based roughness zones: canyons, lower slopes, up per slopes, and tips. Probability density functions of the normalized Nusselt number in these zones reveal a clear stratification of convective performance: canyon regions exhibit the lowest heat transfer due to shielding and limited turbulent renewal, while tip regions consistently achieve the highest values through direct exposure to turbulent eddies and boundary-layer disruption. A complementary sheltering analysis based solely on surface visibility to the incoming flow distinguishes weakly ventilated regions with suppressed heat transfer from exposed windward faces that host intense thermal events. Probability density functions of the local Nusselt number based on sheltering analysis reveal pronounced spatial variability linked to surface geometry. These findings highlight the central role of roughness elevation and spatial exposure in governing turbulent heat transfer and provide new insights into the thermal–hydrodynamic behavior of AM-fabricated channels. (Less)
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author
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organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Proceedings of the 14th International Symposium on Turbulence and Shear Flow Phenomena (TSFP14)
pages
5 pages
language
English
LU publication?
yes
id
b18b024f-8b92-48f2-bb45-6e8a7265d23d
alternative location
http://www.tsfp-conference.org/proceedings/2026/277.pdf
date added to LUP
2026-09-10 06:36:33
date last changed
2026-09-16 13:04:36
@inproceedings{b18b024f-8b92-48f2-bb45-6e8a7265d23d,
  abstract     = {{This study models Additive Manufacturing (AM) roughness using a statistical distribution of spheres and performs high-fidelity simulations at a bulk Reynolds number of 12,000 and a large range of Prandtl numbers to evaluate heat transfer on a rough pipe. Statistical measures were deployed to highlight a clear correlation between roughness features and heat transfer. To directly connect surface topography with local heat transfer, the roughness height map was classified into quantile-based roughness zones: canyons, lower slopes, up per slopes, and tips. Probability density functions of the normalized Nusselt number in these zones reveal a clear stratification of convective performance: canyon regions exhibit the lowest heat transfer due to shielding and limited turbulent renewal, while tip regions consistently achieve the highest values through direct exposure to turbulent eddies and boundary-layer disruption. A complementary sheltering analysis based solely on surface visibility to the incoming flow distinguishes weakly ventilated regions with suppressed heat transfer from exposed windward faces that host intense thermal events. Probability density functions of the local Nusselt number based on sheltering analysis reveal pronounced spatial variability linked to surface geometry. These findings highlight the central role of roughness elevation and spatial exposure in governing turbulent heat transfer and provide new insights into the thermal–hydrodynamic behavior of AM-fabricated channels.}},
  author       = {{Garg, Himani and Nogenmyr, Karl-Johan and Stroh, Alexander}},
  booktitle    = {{Proceedings of the 14th International Symposium on Turbulence and Shear Flow Phenomena (TSFP14)}},
  language     = {{eng}},
  title        = {{Influence of surface roughness topography on heat transfer in turbulent flows}},
  url          = {{http://www.tsfp-conference.org/proceedings/2026/277.pdf}},
  year         = {{2026}},
}