On determining mean wall heat flux in turbulent thermal boundary layers

Reliable evaluation of wall heat flux in turbulent flows is of both fundamental and practical importance. In this study, we propose a new explicit integral method for predicting the mean wall heat flux in a spatially developing zero-pressure-gradient turbulent thermal boundary layer. The approach depends only on the wall-normal distributions of mean temperature and turbulent heat flux within the logarithmic layer and the lower outer region, substantially alleviating the dependence on near-wall data. This feature makes the method especially suitable in situations where measurements close to the wall are either inaccessible or contaminated by considerable uncertainty. Numerical and experimental datasets covering a range of Reynolds and Prandtl numbers are employed to evaluate the predictive capability of the approach, showing that the predicted wall heat flux agrees well with the reference values, typically within approximately ± 4 % . A general relation for wall heat flux is further derived by performing an n -fold repeated integration of the Reynolds-averaged energy equation, and the effect of the number of repeated integrations on the predictive accuracy of the method is investigated. Results indicate that the integral relation obtained from a tenfold integration typically yields more accurate wall heat flux predictions than that from a threefold integration, whereas the relation based on a twofold integration exhibits the worst performance.

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Publication Details

Journal
International Communications in Heat and Mass Transfer
Published
2026-09-17
DOI
https://doi.org/10.1016/j.icheatmasstransfer.2026.112618
Primary Topic
Fluid Dynamics and Turbulent Flows
Type
article
Field-Weighted Citation Impact
0.00

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article

On determining mean wall heat flux in turbulent thermal boundary layers

ZeYu KANG, Shaocheng Qian, Kun Luo, Dong Li et al.
International Communications in Heat and Mass Transfer
Fluid Dynamics and Turbulent Flows
article

On determining mean wall heat flux in turbulent thermal boundary layers

ZeYu KANG, Shaocheng Qian, Kun Luo, Dong Li, Xiang Meng, Jianren Fan
article en

Abstract

Reliable evaluation of wall heat flux in turbulent flows is of both fundamental and practical importance. In this study, we propose a new explicit integral method for predicting the mean wall heat flux in a spatially developing zero-pressure-gradient turbulent thermal boundary layer. The approach depends only on the wall-normal distributions of mean temperature and turbulent heat flux within the logarithmic layer and the lower outer region, substantially alleviating the dependence on near-wall data. This feature makes the method especially suitable in situations where measurements close to the wall are either inaccessible or contaminated by considerable uncertainty. Numerical and experimental datasets covering a range of Reynolds and Prandtl numbers are employed to evaluate the predictive capability of the approach, showing that the predicted wall heat flux agrees well with the reference values, typically within approximately ± 4 % . A general relation for wall heat flux is further derived by performing an n -fold repeated integration of the Reynolds-averaged energy equation, and the effect of the number of repeated integrations on the predictive accuracy of the method is investigated. Results indicate that the integral relation obtained from a tenfold integration typically yields more accurate wall heat flux predictions than that from a threefold integration, whereas the relation based on a twofold integration exhibits the worst performance.

International Communications in Heat and Mass TransferVol. 180
Beijing Institute of Technology (CN), Detector Technology (United States) (US), State Key Laboratory of Clean Energy Utilization, Zhejiang University (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 14%
Fluid Dynamics and Turbulent Flows
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On determining mean wall heat flux in turbulent thermal boundary layers — ZeYu KANG, Shaocheng Qian, et al. · International Communications in Heat and Mass Transfer (2026) | TGRS Research Map | TGRS