Academic Journal

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

التفاصيل البيبلوغرافية
العنوان: Entropy Generation Assessment for Wall-Bounded Turbulent Shear Flows Based on Reynolds Analogy Assumptions
المؤلفون: Ziefuss, Matthias, Karimi, Nader, Ries, Florian, Sadiki, Amsini, Mehdizadeh, Amirfarhang
بيانات النشر: MDPI
سنة النشر: 2020
المجموعة: TU Darmstadt: tuprints
الوصف: 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.
نوع الوثيقة: article in journal/newspaper
وصف الملف: text
اللغة: English
Relation: https://tuprints.ulb.tu-darmstadt.de/11397/1/entropy-ries.pdf; 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
DOI: 10.3390/e21121157
DOI: 10.25534/tuprints-00011397
الاتاحة: http://tuprints.ulb.tu-darmstadt.de/11397/
https://tuprints.ulb.tu-darmstadt.de/11397/1/entropy-ries.pdf
https://doi.org/10.3390/e21121157
https://doi.org/10.25534/tuprints-00011397
Rights: CC BY 4.0 International - Creative Commons, Attribution ; info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.DD707C8C
قاعدة البيانات: BASE