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E-Machine Export and Simulation from SyR-e to Ansys via Python

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E-Machine Export and Simulation from SyR-e to Ansys via Python.

Rel. Gianmario Pellegrino, Paolo Ragazzo. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettrica, 2021

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Abstract:

SyR-e is an open-source software developed by the PEIC group at PoliTO for the design of synchronous motors, allowing accurate electromagnetics analysis and trade-offs evaluation, but with limited multi-physic simulation capability in the thermal and mechanical environments. A first step in moving toward a multi-physics approach, which is key to achieving complete electrical machine design, is to couple software capable of performing such a study with SyR-e. The Ansys software family includes an electromagnetic field solver, a structural analysis, and a computational fluid dynamics (CFD) tool for accurate thermal simulations.The present thesis aims to make the two software compatible from the electromagnetic point of view to give the future possibility to analyze the e-machine at 360 degrees.The first goal was to implement the model export from Synchronous Reluctance Evolution (SyR-e) to Ansys Maxwell valid for any machine feasible in SyR-e and then launching a Finite Element Analysis (FEA) in Maxwell through the SyR-e interface. Firstly the results obtained were validated with those obtained with FEMM a client for magnetostatic finite-element analysis that is already integrated in SyR-e and then the analysis was validated referring to an IPM machine for vehicular traction, focusing on the FEA evaluation of iron losses. The results are validated against existing data of the benchmark, provided by the partner company Eldor.

Relatori: Gianmario Pellegrino, Paolo Ragazzo
Anno accademico: 2021/22
Tipo di pubblicazione: Elettronica
Numero di pagine: 177
Soggetti:
Corso di laurea: Corso di laurea magistrale in Ingegneria Elettrica
Classe di laurea: Nuovo ordinamento > Laurea magistrale > LM-28 - INGEGNERIA ELETTRICA
Aziende collaboratrici: Politecnico di Torino - PEIC
URI: http://webthesis.biblio.polito.it/id/eprint/19839
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