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Creating the Most Scalable Motor Technology with a Data driven approach

PRESENTER:
Dr. Peter Savagian, Conifer

EXPERTISE:
Electromagnetics

Software:
JMAG

This presentation lays a framework for data-driven technology development in electric machines. Rather than approaching motor design as a single optimization problem for one application, the talk asks a broader question: For how many applications, and in what physical form, can a new motor technology move the needle meaningfully? This includes not only electromagnetic performance, but also material selection, mechanical arrangement, manufacturability, cooling, gearing, operating environment, and capital efficiency.

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