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- W2898392193 abstract "This paper provides electromagnetic, structural, and acoustic design guidelines for synchronous reluctance machines using a data-driven approach. A design space of different rotor geometries is created and simulated using a finite element package to evaluate the self- and mutual-correlation of different physical performances, such as average torque, torque ripple, iron power loss, saliency ratio, sound pressure level, and mechanical stress caused by centrifugal and magnetic forces. Then, a statistical analysis is conducted to extract knowledge for relating the design and objective spaces with each other. It is demonstrated that not all the objectives must be incorporated into the design process since some of them are non-conflicting. Hence, a motor designer can numerically evaluate which design variables should be changed and by how much in order to fulfill the design specifications. Lastly, multiple designs are selected based on different requirements. Useful guidelines for selecting the appropriate motor speed and voltage ratings are proposed while considering structurally-reliable designs." @default.
- W2898392193 created "2018-11-02" @default.
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- W2898392193 date "2018-09-01" @default.
- W2898392193 modified "2023-10-16" @default.
- W2898392193 title "A Data-Driven Approach For Design Knowledge Extraction of Synchronous Reluctance Machines Using Multi-Physical Analysis" @default.
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- W2898392193 doi "https://doi.org/10.1109/icelmach.2018.8506851" @default.
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