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Entropy Generation Assessment for Wall-Bounded Turbulent Shear Flows Based on Reynolds Analogy Assumptions

Ziefuss, Matthias ; Karimi, Nader ; Ries, Florian ; Sadiki, Amsini ; Mehdizadeh, Amirfarhang (2020)
Entropy Generation Assessment for Wall-Bounded Turbulent Shear Flows Based on Reynolds Analogy Assumptions.
In: Entropy, 2019, 21 (12)
doi: 10.25534/tuprints-00011397
Article, Secondary publication

Abstract

Heat transfer modeling plays a major role in design and optimization of modern and efficient thermal-fluid systems. Further, turbulent flows are thermodynamic processes, and thus, the second law of thermodynamics can be used for critical evaluations of such heat transfer models. However, currently available heat transfer models suffer from a fundamental shortcoming: their development is based on the general notion that accurate prediction of the flow field will guarantee an appropriate prediction of the thermal field, known as the . In this work, an assessment of the capability of the in predicting turbulent heat transfer when applied to shear flows of fluids of different Prandtl numbers will be given. Towards this, a detailed analysis of the predictive capabilities of the concerning entropy generation is presented for steady and unsteady state simulations. It turns out that the provides acceptable results only for mean entropy generation, while fails to predict entropy generation at small/sub-grid scales.

Item Type: Article
Erschienen: 2020
Creators: Ziefuss, Matthias ; Karimi, Nader ; Ries, Florian ; Sadiki, Amsini ; Mehdizadeh, Amirfarhang
Type of entry: Secondary publication
Title: Entropy Generation Assessment for Wall-Bounded Turbulent Shear Flows Based on Reynolds Analogy Assumptions
Language: English
Date: 2020
Place of Publication: Darmstadt
Year of primary publication: 2019
Publisher: MDPI
Journal or Publication Title: Entropy
Volume of the journal: 21
Issue Number: 12
DOI: 10.25534/tuprints-00011397
URL / URN: https://doi.org/10.3390/e21121157
Origin: Secondary publication via sponsored Golden Open Access
Abstract:

Heat transfer modeling plays a major role in design and optimization of modern and efficient thermal-fluid systems. Further, turbulent flows are thermodynamic processes, and thus, the second law of thermodynamics can be used for critical evaluations of such heat transfer models. However, currently available heat transfer models suffer from a fundamental shortcoming: their development is based on the general notion that accurate prediction of the flow field will guarantee an appropriate prediction of the thermal field, known as the . In this work, an assessment of the capability of the in predicting turbulent heat transfer when applied to shear flows of fluids of different Prandtl numbers will be given. Towards this, a detailed analysis of the predictive capabilities of the concerning entropy generation is presented for steady and unsteady state simulations. It turns out that the provides acceptable results only for mean entropy generation, while fails to predict entropy generation at small/sub-grid scales.

URN: urn:nbn:de:tuda-tuprints-113970
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Simulation of reactive Thermo-Fluid Systems (STFS)
Date Deposited: 26 Jan 2020 20:57
Last Modified: 20 Oct 2023 11:11
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