2023
DOI: 10.1109/access.2023.3247011
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Deep Learning Based Design Methodology for Electric Machines: Data Acquisition, Training and Optimization

Abstract: This paper presents an automated deep learning-based design methodology to facilitate the design and optimization processes in electro-mechanical energy conversion devices. To validate the generality of the model, a complex machine structure with hybrid Permanent Magnets (PMs) is selected as the case study. First, the machine's geometrical topology and the respective design variables are described in the cylindrical coordinate system and programmed into a Finite Element (FE) software package. Next, the program… Show more

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Cited by 4 publications
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