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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
Artikel, Zweitveröffentlichung, Verlagsversion

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Kurzbeschreibung (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.

Typ des Eintrags: Artikel
Erschienen: 2020
Autor(en): Ziefuss, Matthias ; Karimi, Nader ; Ries, Florian ; Sadiki, Amsini ; Mehdizadeh, Amirfarhang
Art des Eintrags: Zweitveröffentlichung
Titel: Entropy Generation Assessment for Wall-Bounded Turbulent Shear Flows Based on Reynolds Analogy Assumptions
Sprache: Englisch
Publikationsjahr: 2020
Ort: Darmstadt
Publikationsdatum der Erstveröffentlichung: 2019
Verlag: MDPI
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Entropy
Jahrgang/Volume einer Zeitschrift: 21
(Heft-)Nummer: 12
DOI: 10.25534/tuprints-00011397
URL / URN: https://doi.org/10.3390/e21121157
Herkunft: Zweitveröffentlichung aus gefördertem Golden Open Access
Kurzbeschreibung (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.

Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-113970
Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Fachgebiet Simulation reaktiver Thermo-Fluid Systeme (STFS)
Hinterlegungsdatum: 26 Jan 2020 20:57
Letzte Änderung: 20 Okt 2023 11:11
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