https://github.com/j-jith/pythermophy

Python module for predicting density, heat capacities and speed of sound of pure fluids using Peng-Robinson, (Soave-)Redlich-Kwong and Lee-Kesler equations of state.
https://github.com/j-jith/pythermophy

equation-of-state python-module thermodynamics

Last synced: about 1 month ago
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Python module for predicting density, heat capacities and speed of sound of pure fluids using Peng-Robinson, (Soave-)Redlich-Kwong and Lee-Kesler equations of state.

• Host: GitHub
• URL: https://github.com/j-jith/pythermophy
• Owner: j-jith
• License: mit
• Created: 2016-11-07T16:26:24.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2022-10-19T22:32:34.000Z (about 2 years ago)
• Last Synced: 2023-10-26T04:53:58.104Z (about 1 year ago)
• Topics: equation-of-state, python-module, thermodynamics
• Language: Python
• Homepage: https://j-jith.github.io/pythermophy/
• Size: 435 KB
• Stars: 15
• Watchers: 3
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE

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README

        
**pythermophy** is a python module for predicting various thermophysical

properties of real fluids. The fluids can be currently  modelled using the

following equations of state:

- Ideal Gas (IG)

- Redlich-Kwong (RK)

- Soave-Redlich-Kwong (SRK)

- Peng-Robinson (PR)

- Lee-Kesler (LK)

At the moment, the following thermophysical properties can be predicted as a

function of temperature ``T`` (K) and pressure ``p`` (Pa):

- Density (kg/m^3)

- Compressibility factor

- Speed of sound (m/s)

- Isobaric specific heat capacity (real and ideal) (J/mol/K)

- Isochoric specific heat capacity (real and ideal) (J/mol/K)

- Departure function of specific heat capacities (J/mol/K)

- Adiabatic index

- Isothermal compressibility (1/Pa)

Installation

============

To install pythermophy, it is recommended to clone the git repository and use

the provided ``setup.py`` as follows.

.. code::

    $ git clone https://github.com/j-jith/pythermophy

    $ cd pythermophy

    $ python setup.py install

The module was written and tested on Python 3, and therefore it is recommended

to use pythermophy with Python 3.

Documentation

=============

For detailed documentation, please visit https://j-jith.github.io/pythermophy/