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Study of thermophysical properties of real gases by different potential models.

  • Published In: High Temperatures - High Pressures, 2023, v. 52, n. 6. P. 493 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: KHORDAD, R.; GHANBARI, A.; TAGHIZADEH, S. F. 3 of 3

Abstract

The influence of attractive term of interaction potential on heat capacities (Cp, Cv) and sound speed of real gases An Kr and Xe is investigated. Two different potential models were introduced and the second vii·ial coefficient of the potentials was analytically determined. The introduced potentials include different attractive terms. By using the two potential models, we have determined heat capacitie's at constant pressure and volume and speed of sound of aforementioned gases. Our obtained data have been compared with available results. The obtained data show that the potential attractive term has a key role in determining the thermodynamic functions of the gases. It is revealed that the obtained heat capacities by using both potentials are in good agreement with experimental data. But, the obtained results by potential model (1) have more agreements with experimental data. The speed of' sound of Ar determined by model (1) at high pressure and temperatures are in good agreement with available data. The sound speed of Kr computed by the model (2) at high temperatures and low pressure has good agreement with experimental data. Finally, sound velocity of Xe determined by the model (2) at high temperatures and pressures gives more agreement in comparison with available data. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:High Temperatures - High Pressures. 2023/11, Vol. 52, Issue 6, p493
  • Document Type:Article
  • Subject Area:Science
  • Publication Date:2023
  • ISSN:0018-1544
  • DOI:10.32908/hthp.v52.1463
  • Accession Number:174149965
  • Copyright Statement:Copyright of High Temperatures - High Pressures is the property of Old City Publishing, Inc. 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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