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Generalized Entropy Generation Expressions in Gases

In this study, we generalize our previous methods for obtaining entropy generation in gases without the need to carry through a specific expansion method, such as the Chapman–Enskog method. The generalization, which is based on a scaling analysis, allows for the study of entropy generation in gases...

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Detalles Bibliográficos
Autor principal: Peters, Michael H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514814/
https://www.ncbi.nlm.nih.gov/pubmed/33267044
http://dx.doi.org/10.3390/e21040330
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author Peters, Michael H.
author_facet Peters, Michael H.
author_sort Peters, Michael H.
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description In this study, we generalize our previous methods for obtaining entropy generation in gases without the need to carry through a specific expansion method, such as the Chapman–Enskog method. The generalization, which is based on a scaling analysis, allows for the study of entropy generation in gases for any arbitrary state of the gas and consistently across the conservation equations of mass, momentum, energy, and entropy. Thus, it is shown that it is theoretically possible to alter specific expressions and associated physical outcomes for entropy generation by changing the operating process gas state to regions significantly different than the perturbed, local equilibrium or Chapman–Enskog type state. Such flows could include, for example, hypersonic flows or flows that may be generally called hyper-equilibrium state flows. Our formal scaling analysis also provides partial insight into the nature of entropy generation from an informatics perspective, where we specifically demonstrate the association of entropy generation in gases with uncertainty generated by the approximation error associated with density function expansions.
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spelling pubmed-75148142020-11-09 Generalized Entropy Generation Expressions in Gases Peters, Michael H. Entropy (Basel) Article In this study, we generalize our previous methods for obtaining entropy generation in gases without the need to carry through a specific expansion method, such as the Chapman–Enskog method. The generalization, which is based on a scaling analysis, allows for the study of entropy generation in gases for any arbitrary state of the gas and consistently across the conservation equations of mass, momentum, energy, and entropy. Thus, it is shown that it is theoretically possible to alter specific expressions and associated physical outcomes for entropy generation by changing the operating process gas state to regions significantly different than the perturbed, local equilibrium or Chapman–Enskog type state. Such flows could include, for example, hypersonic flows or flows that may be generally called hyper-equilibrium state flows. Our formal scaling analysis also provides partial insight into the nature of entropy generation from an informatics perspective, where we specifically demonstrate the association of entropy generation in gases with uncertainty generated by the approximation error associated with density function expansions. MDPI 2019-03-27 /pmc/articles/PMC7514814/ /pubmed/33267044 http://dx.doi.org/10.3390/e21040330 Text en © 2019 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Peters, Michael H.
Generalized Entropy Generation Expressions in Gases
title Generalized Entropy Generation Expressions in Gases
title_full Generalized Entropy Generation Expressions in Gases
title_fullStr Generalized Entropy Generation Expressions in Gases
title_full_unstemmed Generalized Entropy Generation Expressions in Gases
title_short Generalized Entropy Generation Expressions in Gases
title_sort generalized entropy generation expressions in gases
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514814/
https://www.ncbi.nlm.nih.gov/pubmed/33267044
http://dx.doi.org/10.3390/e21040330
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