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pith:2026:IEARAFYOGWIJCZIHI2EXW2EKDL
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Influence of Prandtl number on heat transfer over a permeable wall

Francesca di Mare, Hakan Demir, Wojciech Sadowski

Terms usually dropped when averaging flow variables near porous walls grow important for heat transfer when the Prandtl number is low.

arxiv:2605.13195 v1 · 2026-05-13 · physics.flu-dyn

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4 Citations open
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Claims

C1strongest claim

A set of terms, typically neglected during the upscaling procedure (related to the Taylor expansion of the filtered variables), is analysed for the first time for the turbulent heat transfer at the porous-fluid interface, and are found to be significant at low Pr.

C2weakest assumption

The chosen Reynolds number, grid resolution, and filter kernels are sufficient to capture the true magnitude of the neglected Taylor terms at the interface for the three Prandtl numbers examined.

C3one line summary

Low-Prandtl-number simulations show that Taylor-expansion terms neglected in upscaled heat-transfer models are significant at porous-fluid interfaces.

References

109 extracted · 109 resolved · 1 Pith anchors

[1] Dixon and Behnam Partopour , title = 2020
[2] Hermann, T. and McGilvray, M. , title =. Journal of Fluid Mechanics , year =
[3] Shen, G. and Yuan, J. and Phanikumar, M. S. , title =. Journal of Fluid Mechanics , year =
[4] Annual Review of Fluid Mechanics , volume = 2000
[5] Sandham , title = 2019

Formal links

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First computed 2026-05-18T03:08:48.740523Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

410110170e359091650746897b688a1ae2b0cc6bfd85ce0f22635c7a3c00b5d2

Aliases

arxiv: 2605.13195 · arxiv_version: 2605.13195v1 · doi: 10.48550/arxiv.2605.13195 · pith_short_12: IEARAFYOGWIJ · pith_short_16: IEARAFYOGWIJCZIH · pith_short_8: IEARAFYO
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/IEARAFYOGWIJCZIHI2EXW2EKDL \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 410110170e359091650746897b688a1ae2b0cc6bfd85ce0f22635c7a3c00b5d2
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "physics.flu-dyn",
    "submitted_at": "2026-05-13T08:50:16Z",
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