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Pyleecan: an open-source Python object-oriented software for the multiphysic design optimization of electrical machines

机译：Pyleecan：一个开源的Python面向对象软件，用于电机的多体性设计优化

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This paper presents the first open-source development project for the electromagnetic design optimization of electrical machines and drives named Pyleecan - PYthon Library for Electrical Engineering Computational ANalysis. This paper first details the objectives of Pyleecan open-source development project, and the object-oriented architecture of the software that has been developed and released. Then it reviews and compares the available free and open-source software used during the multiphysic design of electrical machines including electromagnetics, heat transfer and vibro-acoustic analysis.

机译：本文介绍了电机电机电机和驱动器的第一个开源开发项目，名为Pylecan - Python库进行电气工程计算分析。本文首先详细了解了Pyleecan开源开发项目的目标，以及已经开发和发布的软件面向对象的架构。然后，它评估和比较电机多体设计期间使用的可用和开源软件，包括电磁，传热和振动声学分析。

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《International Conference on Electrical Machines》|2018年|670-1349p|共7页
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作者
P. Bonneel; J. Le Besnerais; R. Pile; E. Devillers;
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原文格式 PDF
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中图分类 TM3-53;
关键词
Simulation software; Open source; Electrical machines; Design optimization; Multiphysics;

机译：仿真软件;开源;电气机;设计优化;多体学;

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3. Predicting Code Hotspots in Open-Source Software from Object-Oriented Metrics Using Machine Learning [J] . Rod Hilton, Ellen Gethner International journal of software engineering and knowledge engineering . 2018,第3期

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4. Pyleecan: An Open-Source Python Object-Oriented Software for the Multiphysic Design Optimization of Electrical Machines [C] . P. Bonneel, J. Le Besnerais, R. Pile, International Conference on Electrical Machines . 2018

机译：Pyleecan：用于电机多物理场设计优化的开源Python面向对象软件
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Pyleecan: an open-source Python object-oriented software for the multiphysic design optimization of electrical machines

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