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Thermodynamic Fluid Equations-of-State.
1Department of Physics, University of Algarve, 8005-139 Faro, Portugal.
Entropy (Basel, Switzerland)
|December 3, 2020
Summary
A new mesophase model reveals gas and liquid states lack continuity at the critical point. This thermodynamic model accurately describes fluid properties using virial expansions and physical constants, improving data bank accuracy.
Area of Science:
- Thermodynamics
- Physical Chemistry
- Fluid Mechanics
Background:
- Modern thermodynamic fluid property data banks rely on cubic equations with numerous parameters.
- Existing functional forms for Gibbs density surfaces are inadequate near critical points and in supercritical regions.
- Continuity assumptions for gas and liquid states at the critical point are fundamentally flawed.
Purpose of the Study:
- To identify and characterize a mesophase between gas and liquid states.
- To develop accurate thermodynamic models for fluid properties, especially near critical points.
- To improve the accuracy and reduce the complexity of fluid property data banks.
Main Methods:
- Identification of a mesophase bounded by third-order discontinuities in Gibbs energy derivatives.
- Application of separate, appropriate functional forms for gas and liquid states.
- Utilizing three- or four-term virial expansions to represent deviations from the mesophase.
- Employing physical constants like Boyle temperature (TB) and critical constants (Tc, pc).
Main Results:
- A distinct mesophase exists, characterized by linear pressure functions.
- Gas and liquid states exhibit discontinuities, not continuity, at the critical point.
- Virial expansions accurately model gas and liquid behavior on either side of the mesophase.
- The fourth virial term is negligible for simple fluids below the Boyle temperature (TB).
Conclusions:
- The critical point does not exhibit a singularity, and gas/liquid continuity is absent.
- The proposed mesophase model provides a more accurate representation of fluid behavior.
- This approach simplifies thermodynamic modeling by using fewer parameters and known physical constants.
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