EconPapers    
Economics at your fingertips  
 

Permanent Magnet Machine Optimization

Georgios D. Kalokiris, Antonios G. Kladas and John A. Tegopoulos ()
Additional contact information
Georgios D. Kalokiris: National Technical University of Athens 9, Laboratory of Electrical Machines, Electric Power Division Department of Electrical & Computer Engineering
Antonios G. Kladas: National Technical University of Athens 9, Laboratory of Electrical Machines, Electric Power Division Department of Electrical & Computer Engineering
John A. Tegopoulos: National Technical University of Athens 9, Laboratory of Electrical Machines, Electric Power Division Department of Electrical & Computer Engineering

A chapter in Optimization and Inverse Problems in Electromagnetism, 2003, pp 287-294 from Springer

Abstract: Abstract The paper presents electrical machine design considerations introduced by exploiting new magnetic material characteristics. The materials considered are amorphous alloy ribbons as well as Neodymium alloy permanent magnets involving very low eddy current losses. Such materials enable electric machine operation at higher frequencies compared with the standard iron laminations used in the traditional magnetic circuit construction and provide better efficiency.

Keywords: Finite element method; iron losses; permanent magnet machines; equivalent circuit parameters. (search for similar items in EconPapers)
Date: 2003
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:sprchp:978-94-017-2494-4_29

Ordering information: This item can be ordered from
http://www.springer.com/9789401724944

DOI: 10.1007/978-94-017-2494-4_29

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-06-08
Handle: RePEc:spr:sprchp:978-94-017-2494-4_29