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Preventing the risks of monotony related fatigue while driving through gamification

Bier, Lukas and Emele, Michael and Gut, Kaja and Kulenovic, Jasna and Rzany, David and Peter, Max and Abendroth, Bettina (2019):
Preventing the risks of monotony related fatigue while driving through gamification.
In: European Transport Research Review, 11, (1), Springer Open, ISSN 1867-0717, DOI: 10.25534/tuprints-00011398,
[Online-Edition: https://tuprints.ulb.tu-darmstadt.de/11398],
Secondary publishing via sponsored Golden Open Access, [Article]

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.

Item Type: Article
Erschienen: 2019
Creators: Bier, Lukas and Emele, Michael and Gut, Kaja and Kulenovic, Jasna and Rzany, David and Peter, Max and Abendroth, Bettina
Title: Preventing the risks of monotony related fatigue while driving through gamification
Language: English
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.

Journal or Publication Title: European Transport Research Review
Number: 1
Publisher: Springer Open
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Ergonomics (IAD)
Date Deposited: 26 Jan 2020 20:57
DOI: 10.25534/tuprints-00011398
Official URL: https://tuprints.ulb.tu-darmstadt.de/11398
URN: urn:nbn:de:tuda-tuprints-113983
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