Mr MOSTAFA AHMADI DARMANI MOSTAFA.AHMADI@NOTTINGHAM.AC.UK
RESEARCH FELLOW
Multiphysic Design and Modeling of Rotating Electrical Machines
Ahmadi Darmani, Mostafa; Vaschetto, Silvio; Cavagnino, Andrea
Authors
Silvio Vaschetto
Andrea Cavagnino
Abstract
This paper presents a general overview on design process of electrical machines considering a multiphysic point of view, and a road map for a comprehensive design approach is drawn. The objective multi-physical criterion including electromagnetism and mechanics physics, thermodynamics, fluid dynamics, structural dynamics, noise and vibration are discussed. Also, various modelling methodologies are presented and compared in terms of computational-time resources and accuracy. Current state of art in this approach will be presented highlighting the advantages and disadvantages of such methodologies.
Citation
Ahmadi Darmani, M., Vaschetto, S., & Cavagnino, A. (2021, October). Multiphysic Design and Modeling of Rotating Electrical Machines. Presented at IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society, Toronto, ON, Canada
Presentation Conference Type | Edited Proceedings |
---|---|
Conference Name | IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society |
Start Date | Oct 13, 2021 |
End Date | Oct 16, 2021 |
Acceptance Date | Oct 13, 2021 |
Online Publication Date | Nov 10, 2021 |
Publication Date | Oct 13, 2021 |
Deposit Date | Nov 12, 2024 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Pages | 3129-3134 |
Series ISSN | 2577-1647 |
Book Title | IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society |
ISBN | 9781665402569 |
DOI | https://doi.org/10.1109/iecon48115.2021.9589145 |
Keywords | Electrical machines, multiphysic design and modelling, electromagnetics design, thermal modelling, acoustic noise, rotordynamics, materials characteristics, heat distribution, computational fluid dynamic, finite element method. |
Public URL | https://nottingham-repository.worktribe.com/output/24426452 |
Publisher URL | https://ieeexplore.ieee.org/document/9589145 |
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