Python

pip install STEAM-materials==2024.2.3

The source functions of steam-material-library can be used as a shared library, but also integrated into Python functions. The functions are first compiled into a shared library (.dll on Windows, .so on Linux), using CMake, which that they can be employed by interfaces such as COMSOL and SIGMA. Subsequently, Python bindings allow pythonic access to the C functions through the Pypi STEAM-material library, for applications such as pyBBQ, a Quench model interface, and Ni-coils, a simulation tool for the thermo-electromagnetic behavior of no-insulation coils.

Example

First, the package must be installed from Pypi (for example, by using pip). Then the module can be imported and used as shown below:

import os
import numpy as np
import matplotlib.pyplot as plt
from steammaterials import SteamMaterials

B = [0.0, 4.0, 8.0, 12.0]
T_ref_RRR = 295
RRR = 1000
T = np.linspace(0, 300, 1000)
for i in range(len(B)):
    b = B[i] * np.ones(T.shape)
    rrr = RRR * np.ones(T.shape)
    rrr_ref = T_ref_RRR * np.ones(T.shape)
    numpy2d = np.vstack((T, b, rrr, rrr_ref))

#1 argument function
sm_CvHast = SteamMaterials("CFUN_CvHast_v1", 1, len(T))
Cv_hast   = sm_CvHast.evaluate(T)
#4 arguments function
sm_cp_rho = SteamMaterials("CFUN_rhoCu_v1", numpy2d.shape[0], numpy2d.shape[1])
RhoCu     = sm_cp_rho.evaluate(numpy2d)

# Plots the results
plt.figure(1)
plt.plot(T,Cv_hast)
plt.title('Hastelloy-Specific Heat')
plt.figure(2)
plt.plot(T, RhoCu)
plt.title('Copper-Resistivity')
plt.show()