JOURNAL ARTICLE

Variations on the models of Carnot irreversible thermomechanical engine.

  • Published In: Journal of Non-Equilibrium Thermodynamics, 2024, v. 49, n. 2. P. 135 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Feidt, Michel; Costea, Monica 3 of 3

Abstract

The JETC Conference held in Salerno (June 12–17, 2023) was the opportunity to honor the two centuries anniversary of the booklet publication of Sadi Carnot. The paper reports on a selective review summarizing the evolution of the ideas and concepts proposed by Carnot. We consider mainly: a. The Carnot cycle relative to thermomechanical engine, b. The concept of efficiency (Carnot efficiency), c. The forms of energy (thermal energy or heat, Q, and mechanical energy or work, W), d. The concept of entropy, rediscovered and completed by Clausius. We show the importance of the energy conversion irreversibilities that started to be considered more recently by two methods, namely, the ratio method and the entropy production method. The second approach provides more significant results from a global point of view, also with more local modeling (cycle process modeling). Some examples are given that illustrate the proposal: Carnot cycle in endo-irreversible or exo-reversible configuration, Chambadal modeling, Curzon–Ahlborn modeling. More generally, the modeling is done in the frame of FTT (Finite Time Thermodynamics), FST (Finite Speed Thermodynamics), or FDOT (Finite physical Dimensions Optimal Thermodynamics). Preliminary conclusions and perspectives are proposed. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Non-Equilibrium Thermodynamics. 2024/04, Vol. 49, Issue 2, p135
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2024
  • ISSN:0340-0204
  • DOI:10.1515/jnet-2023-0109
  • Accession Number:176578809
  • Copyright Statement:Copyright of Journal of Non-Equilibrium Thermodynamics is the property of De Gruyter and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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