.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "api/gallery/fluid_engineering/plot_fluid_engineering_models.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_api_gallery_fluid_engineering_plot_fluid_engineering_models.py>`
        to download the full example code or to run this example in your browser via JupyterLite.

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_api_gallery_fluid_engineering_plot_fluid_engineering_models.py:


Darcy friction across two flow regimes
======================================

Compute an inspectable engineering model using SI inputs.
See the linked domain guide for assumptions and benchmark checks.

.. GENERATED FROM PYTHON SOURCE LINES 8-26



.. image-sg:: /api/gallery/fluid_engineering/images/sphx_glr_plot_fluid_engineering_models_001.png
   :alt: plot fluid engineering models
   :srcset: /api/gallery/fluid_engineering/images/sphx_glr_plot_fluid_engineering_models_001.png
   :class: sphx-glr-single-img





.. code-block:: Python


    import matplotlib.pyplot as plt
    import numpy as np

    from engineeringkit.fluid_engineering import colebrook_friction_factor

    fig, ax = plt.subplots()
    for roughness in [0, 1e-4, 0.01]:
        for lower, upper in [(100, 2299), (4000, 1e7)]:
            re = np.logspace(np.log10(lower), np.log10(upper), 100)
            factors = [colebrook_friction_factor(value, roughness) for value in re]
            label = f"relative roughness={roughness}" if lower == 4000 else None
            ax.loglog(re, factors, label=label)
    ax.axvspan(2300, 4000, color="gray", alpha=0.2, label="transition excluded")
    ax.set(xlabel="Reynolds number", ylabel="Darcy friction factor")
    ax.legend()

    plt.show()


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 0.267 seconds)


.. _sphx_glr_download_api_gallery_fluid_engineering_plot_fluid_engineering_models.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: lite-badge

      .. image:: images/jupyterlite_badge_logo.svg
        :target: ../../../lite/lab/index.html?path=api/gallery/fluid_engineering/plot_fluid_engineering_models.ipynb
        :alt: Launch JupyterLite
        :width: 150 px

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_fluid_engineering_models.ipynb <plot_fluid_engineering_models.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_fluid_engineering_models.py <plot_fluid_engineering_models.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: plot_fluid_engineering_models.zip <plot_fluid_engineering_models.zip>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_