Pyleecan software

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A flexible, open-source, unified modelling framework for electrical machines under Python

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Submission date 30 de noviembre de 2021 Founders Jean Le Besnerais Development location Lille, France

Detailed project

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What is the issue addressed?

Electrical machines are present in some key sustainable technologies such as generators and electric traction motors. However, there is no open-source software to optimize the efficiency of such technologies.

How is the problem solved?

Pyleecan is the first open source software dedicated to the multiphysic modelling and optimization of electrical machines under Python free programming language.

What is the customer target?

Pyleecan can be used by all small companies who do not have the budget to pay commercial licences of electric machine design software. Pyleecan can be used by research laboratories for accelerated innovation and more reproducible science.

How is this solution different?

Pyleecan provides powerful topological exploration capabilities through object oriented modelled. It includes a Graphical User Interface, the possibility to couple it to multiphysic solvers, and tutorial documented under Jupyter Notebooks.