Additive Manufacturing and Topology Optimization of Magnetic Materials for Electrical Machines—A Review
Thang Pham,
Patrick Kwon and
Shanelle Foster
Additional contact information
Thang Pham: Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA
Patrick Kwon: Department of Mechanical Engineering, Michigan State University, East Lansing, MI 48824, USA
Shanelle Foster: Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA
Energies, 2021, vol. 14, issue 2, 1-24
Abstract:
Additive manufacturing has many advantages over traditional manufacturing methods and has been increasingly used in medical, aerospace, and automotive applications. The flexibility of additive manufacturing technologies to fabricate complex geometries from copper, polymer, and ferrous materials presents unique opportunities for new design concepts and improved machine power density without significantly increasing production and prototyping cost. Topology optimization investigates the optimal distribution of single or multiple materials within a defined design space, and can lead to unique geometries not realizable with conventional optimization techniques. As an enabling technology, additive manufacturing provides an opportunity for machine designers to overcome the current manufacturing limitation that inhibit adoption of topology optimization. Successful integration of additive manufacturing and topology optimization for fabricating magnetic components for electrical machines can enable new tools for electrical machine designers. This article presents a comprehensive review of the latest achievements in the application of additive manufacturing, topology optimization, and their integration for electrical machines and their magnetic components.
Keywords: additive manufacturing; three-dimensional printing; topology optimization; magnetic materials; soft magnetic materials; permanent magnets; electrical machines (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://www.mdpi.com/1996-1073/14/2/283/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/2/283/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:2:p:283-:d:475973
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().