JOURNAL ARTICLE

Thermodynamics of modified Bardeen-AdS black hole: Heat engine.

  • Published In: International Journal of Geometric Methods in Modern Physics, 2023, v. 20, n. 6. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Nag, Chandradipa; Roy, Tanusree; Debnath, Ujjal 3 of 3

Abstract

In this paper, we have explored the thermodynamic properties of static Modified Bardeen black hole in the background of Anti-de Sitter (AdS) extended phase space. Thermodynamic pressure is taken as a thermodynamic variable, defined by the negative cosmological constant. We have discussed the thermodynamic quantities like Hawking temperature, Gibbs energy and Helmholtz free energy along with specific heat capacity to analyze the stability. Next, Joule–Thomson expansion has been evaluated to determine cooling-heating phase transition. Followed by these, we have constructed a new heat engine where the black hole is considered as the working substance. We have determined the efficiency through a heat cycle in the P - V plane. As a result, we have been able to show the efficiency of a new heat engine and measure it against the Carnot efficiency. After evaluating the efficiency of the Rankine cycle, the paper has been concluded with a comparison analysis between the heat engine efficiencies of Modified Bardeen AdS Black hole and Regular Bardeen AdS Black hole. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Geometric Methods in Modern Physics. 2023/05, Vol. 20, Issue 6, p1
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2023
  • ISSN:0219-8878
  • DOI:10.1142/S0219887823500937
  • Accession Number:163114699
  • Copyright Statement:Copyright of International Journal of Geometric Methods in Modern Physics is the property of World Scientific Publishing Company 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.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.