Fluid Property Diagrams¶
Create custom and beautiful Fluid Property Diagrams with fluprodia. The package implements fluid property data from CoolProp [1]. Plotting is handled by matplotlib [2], all calculations are performed with numpy [3]. The list of fluids available can be found at CoolProp.
fluprodia is licensed under the MIT software license.
docs |
|
|---|---|
package |
    |
Installation¶
pip install fluprodia
Usage¶
To create a diagram import the library, specify unit system and isolines to be calculated and run the calculation:
>>> from fluprodia import FluidPropertyDiagram
>>> import matplotlib.pyplot as plt
>>> import numpy as np
>>> diagram = FluidPropertyDiagram(fluid='H2O')
>>> diagram.set_unit_system(T='°C', h='kJ/kg', p='bar')
>>> Q = np.linspace(0, 1, 11)
>>> T = np.arange(25, 501, 25)
>>> p = np.geomspace(0.01, 1000, 6) * 1e5
>>> v = np.geomspace(0.001, 10, 5)
>>> s = np.linspace(1000, 10000, 10)
>>> h = np.linspace(0, 3600, 19)
>>> diagram.set_isolines(Q=Q, T=T, p=p, v=v, s=s, h=h)
>>> diagram.calc_isolines()
Then you can plot the data to different types of plots, e.g. logph diagram:
>>> fig, ax = plt.subplots(1, figsize=(8, 5))
>>> diagram.draw_isolines(diagram_type='logph', fig=fig, ax=ax, x_min=0, x_max=3000, y_min=0.01, y_max=1000)
>>> plt.tight_layout()
>>> fig.savefig('logph_diagram_H2O.svg')
>>> fig.savefig('logph_diagram_H2O.png', dpi=300)
Or, a Ts-diagram:
>>> fig, ax = plt.subplots(1, figsize=(8, 5))
>>> diagram.draw_isolines(diagram_type='Ts', fig=fig, ax=ax, x_min=0, x_max=8000, y_min=0, y_max=700)
>>> plt.tight_layout()
>>> fig.savefig('Ts_diagram_H2O.svg')
>>> fig.savefig('Ts_diagram_H2O.png', dpi=300)
The fluids are available through CoolProp. To generate a diagram for a new fluid simply change the name. Isolines come with defaults as well.
>>> diagram = FluidPropertyDiagram(fluid='R290')
>>> diagram.set_unit_system(T='°C', h='kJ/kg', p='bar')
>>> diagram.calc_isolines()
>>> fig, ax = plt.subplots(1, figsize=(8, 5))
>>> diagram.draw_isolines(diagram_type='logph', fig=fig, ax=ax, x_min=0, x_max=800, y_min=1e-1, y_max=1e2)
>>> plt.tight_layout()
>>> fig.savefig('logph_diagram_R290.png', dpi=300)
>>> fig.savefig('logph_diagram_R290.svg')
Documentation¶
For further examples and usage please refer to the online documentation at https://fluprodia.readthedocs.io/.
Citation¶
Every version of fluprodia is archived at zenodo. You can cite the latest or a specific version. For citation info and more details please go to the zenodo entry of fluprodia.
References¶
This software depends on the packages CoolProp, matplolib and numpy.