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Pyleecan

From EverybodyWiki Bios & Wiki

Pyleecan
Initial release21 August 2020; 3 years ago (2020-08-21)
Stable release
1.3.8 / 27 January 2022; 2 years ago (2022-01-27)
Engine
    Operating systemWindows, [Unix]]/Linux
    TypeMultiphysics, Computer-aided engineering, Electrical Engineering, Simulation software
    LicenseApache License 2.0
    Websitewww.pyleecan.org

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    Pyleecan (PYthon Library for Electrical Engineering Computational ANalysis[1]) is a free, open-source project providing a framework for electrical engineering projects.

    PhD students in Electrical Engineering have several good reasons to start with Pyleecan, instead of self-coding a Scilab/Matlab to FEMM coupling:

    • time savings, by focusing on new software feature development (e.g. new topology or new physical model), giving more room to physics and creativity
    • improved knowledge management, by taking benefit of GitHub versioning and documentation tools (e.g. Jupyter Notebooks), ensuring a better know-how transfer to the laboratory team once PhD is finished
    • more efficient team work, by taking benefit of collaborative features of GitHub, making it easy to run joint development tasks from all around the world
    • improved reliability, by taking benefit of Pyleecan community development standards, peer reviewing and bug correction

    The second objective of Pyleecan is to provide an alternative to commercial Finite Element Analysis software, so that every electrical machine designer has the possibility to optimize its design efficiency and reduce its environmental impact.


    Origin of the Project[edit]

    The project was founded in 2018 by EOMYS Engineering. The project is also supported by Green Forge Coop (non-profit) organization, besides individual contributors.

    Current Status of the Project[edit]

    • General features:
      • Graphical User Interface to define the electrical machine topology, winding and materials, with the possibility to export the model as .json or FEMM
      • Documented validation case under Jupyter Notebooks
      • Class generator to automatically build the object-oriented architecture
    • Main Topologies Features:
      • Multiphysic material library
      • Notching / uneven bore radius shape / multi lamination
    • Main Models and Couplings [2][3]:
      • Electrical Equivalent Circuit (EEC) models of Permanent Magnet Synchronous Machines (PMSM) and Squirrel Cage Induction Machines (SCIM)
      • Parameter sweeps, or variable operating point simulations

    References[edit]


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