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Preventing the risks of monotony related fatigue while driving through gamification

Bier, Lukas ; Emele, Michael ; Gut, Kaja ; Kulenovic, Jasna ; Rzany, David ; Peter, Max ; Abendroth, Bettina (2020)
Preventing the risks of monotony related fatigue while driving through gamification.
In: European Transport Research Review, 2019, 11 (1)
doi: 10.25534/tuprints-00011398
Artikel, Zweitveröffentlichung

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 Reynolds Analogy. In this work, an assessment of the capability of the Reynolds Analogy 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 Reynolds Analogy concerning entropy generation is presented for steady and unsteady state simulations. It turns out that the Reynolds Analogy 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): Bier, Lukas ; Emele, Michael ; Gut, Kaja ; Kulenovic, Jasna ; Rzany, David ; Peter, Max ; Abendroth, Bettina
Art des Eintrags: Zweitveröffentlichung
Titel: Preventing the risks of monotony related fatigue while driving through gamification
Sprache: Englisch
Publikationsjahr: 2020
Ort: Darmstadt
Publikationsdatum der Erstveröffentlichung: 2019
Verlag: Springer Open
Titel der Zeitschrift, Zeitung oder Schriftenreihe: European Transport Research Review
Jahrgang/Volume einer Zeitschrift: 11
(Heft-)Nummer: 1
DOI: 10.25534/tuprints-00011398
URL / URN: https://tuprints.ulb.tu-darmstadt.de/11398
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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 Reynolds Analogy. In this work, an assessment of the capability of the Reynolds Analogy 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 Reynolds Analogy concerning entropy generation is presented for steady and unsteady state simulations. It turns out that the Reynolds Analogy 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-113983
Sachgruppe der Dewey Dezimalklassifikatin (DDC): 600 Technik, Medizin, angewandte Wissenschaften > 600 Technik
Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Institut für Arbeitswissenschaft (IAD)
Hinterlegungsdatum: 26 Jan 2020 20:57
Letzte Änderung: 20 Okt 2023 10:11
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