Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/139709
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Type: Conference paper
Title: Design Optimisation of a High Power Density Electric Machine using Soft Magnetic Composites
Author: Roshandel, E.
Ertugrul, N.
Mahmoudi, A.
Kahourzade, S.
Citation: Proceedings of the 32nd Australasian Universities Power Engineering Conference (AUPEC 2022), 2023, pp.1-6
Publisher: IEEE
Publisher Place: Online
Issue Date: 2023
Series/Report no.: Australasian Universities Power Engineering Conference
ISBN: 9798350339567
Conference Name: Australasian Universities Power Engineering Conference (AUPEC) (26 Sep 2022 - 28 Sep 2022 : Adelaide, South Australia)
Statement of
Responsibility: 
Emad Roshandel, Nesimi Ertugrul, Amin Mahmoudi, Solmaz Kahourzade
Abstract: Soft magnetic composites (SMCs) are considered in electrical machines applications due to their desirable magnetic properties, such as small eddy current losses. Their thermal isotropy feature is also desirable as it can allow the construction of SMC-based pole pieces to form the stator. In addition, the embedded concentrated winding structure allows to achieve higher power density electric machines. This paper presents an optimization study to offer a high-power density, low cogging torque, and high-efficiency electrical machine that are desirable in a wide range of applications. To achieve these aims, both 2-D finite element model (FEM) and 3-D FEM are developed for a benchmark machine. Then a sensitivity analysis is carried out about the arc and thickness of the permanent magnet (PM), and on the number of turns of the windings under a constant current density both under the no-load and full-load operation of the machine. The results obtained from the sensitivity analysis are used to predict the performance of the SMC-based electric machine in a large search space by means of a surrogate model. Then, a convex optimization problem is solved to find a high torque machine with the minimum cogging torque. The optimal design is validated using the 3-D and 2-D FE analysis (FEA) results performed previously. Finally, the optimal design performance parameters are obtained in the torquespeed envelope. These results are also compared with the performance characteristics of a conventional laminated machine to demonstrate the advantages of the use of SMC in motor design.
Keywords: Electric machine design; electric machine optimization; soft magnetic composites; high power density electrical machines
Rights: © 2022, IEEE
DOI: 10.1109/AUPEC58309.2022.10215683
Grant ID: ARC
Published version: http://dx.doi.org/10.1109/aupec58309.2022.10215683
Appears in Collections:Electrical and Electronic Engineering publications

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