LAPSE:2023.35778
Published Article
LAPSE:2023.35778
Recent Trends in Additive Manufacturing and Topology Optimization of Reluctance Machines
Shahid Hussain, Ants Kallaste, Toomas Vaimann
May 23, 2023
Additive manufacturing (AM) or 3D printing has opened up new opportunities for researchers in the field of electrical machines, as it allows for more flexibility in design and faster prototyping, which can lead to more efficient and cost-effective production. An overview of the primary AM techniques utilized for designing electrical machines is presented in this paper. AM enables the creation of complex and intricate designs that are difficult or impossible to achieve using traditional methods. Topology Optimization (TO) can be used to optimize the design of parts for various purposes such as weight, thermal, material usage and structural performance. This paper primarily concentrates on the most recent studies of the AM and TO of the reluctance machines. The integration of AM with TO can enhance the design and fabrication process of magnetic components in electrical machines by overcoming current manufacturing limitations and enabling the exploration of new design possibilities. The technology of AM and TO both have limitations and challenges which are discussed in this paper. Overall, the paper offers a valuable resource for researchers and practitioners working in the field of AM and TO of electrical machines.
Keywords
additive manufacturing, binder jetting, Genetic Algorithm, level set, material density, ON-OFF method, power bed fusion, soft magnetic materials, switch reluctance machine, synchronous reluctance machine, topology optimization
Subject
Suggested Citation
Hussain S, Kallaste A, Vaimann T. Recent Trends in Additive Manufacturing and Topology Optimization of Reluctance Machines. (2023). LAPSE:2023.35778
Author Affiliations
Hussain S: Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, 19086 Tallinn, Estonia
Kallaste A: Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, 19086 Tallinn, Estonia [ORCID]
Vaimann T: Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, 19086 Tallinn, Estonia [ORCID]
Journal Name
Energies
Volume
16
Issue
9
First Page
3840
Year
2023
Publication Date
2023-04-29
Published Version
ISSN
1996-1073
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Original Submission
Other Meta
PII: en16093840, Publication Type: Review
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LAPSE:2023.35778
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doi:10.3390/en16093840
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May 23, 2023
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CC BY 4.0
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May 23, 2023
 
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Calvin Tsay
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