Python Property Tables Library - proptables

proptables is a Python library designed to provide quick access to property tables for R134a and water, primarily aimed at engineers and researchers needing fluid property data in thermodynamic calculations.

Features

• Provides easy-to-access property data for R134a and water.
• Useful for thermodynamics, refrigeration, and heating applications.
• Simplifies accessing and calculating fluid properties programmatically.

proptables: User Manual

Installation

To install the proptables library, run the following command in your terminal or command prompt:

pip install proptables

Example Output (Google Colab):

Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/
Collecting proptables
  Downloading proptables-0.0.7-py3-none-any.whl (32 kB)
Installing collected packages: proptables
Successfully installed proptables-0.0.7

Importing Components

To use the library, import the required components as follows:

from proptables import R134a, water

Using Water Tables

The water function can be used for various thermodynamic properties. Example usages:

By Pressure

water(Pressure=200)

By Pressure and Enthalpy

water(Pressure=200, Enthalpy=1500)

By Temperature

water(Temperature=54)

By Temperature and Entropy

water(Temperature=54, Entropy=5)

Example with Superheated Property

water(Pressure=4000, Superheated=True)

Using R134a Tables

The R134a function supports similar property queries. Example usages:

By Temperature

R134a(Temperature=36)

By Temperature and Enthalpy

R134a(Temperature=34, Enthalpy=112)

By Pressure

R134a(Pressure=600)

Example with Superheated Property

R134a(Pressure=1200, Superheated=True)

Data Tables

The library provides detailed thermodynamic tables for water and R134a. Below are some examples:

Water Table (Pressure-based)

R134a Table (Temperature-based)

Reporting Issues

If you encounter any errors or issues, please report them on the library's GitHub page.

Thank you for using proptables!