Optimization of Coaxial Magnetic Gear Design and Magnet Material Grade at Different Temperatures and Gear Ratios

Magnetic gears, like mechanical gears, transform power between different speeds and torques; however, magnetic gears' contactless nature provides inherent potential benefits over mechanical gears. A genetic algorithm was used to optimize magnetic gears at different temperatures across a range o...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on energy conversion 2021-09, Vol.36 (3), p.2493-2501
Main Authors: Gardner, Matthew C., Praslicka, Bryton, Johnson, Matthew, Toliyat, Hamid A.
Format: Article
Language:English
Subjects:
Aircraft
Coercivity
Design optimization
End effects
finite element analysis
Finite element method
Gear ratios
genetic algorithm
Genetic algorithms
magnet grade
Magnetic flux
magnetic gear
Magnetic gears
Magnetoacoustic effects
Magnets
NdFeB
Parameters
permanent magnet
Prototypes
Rotors
SmCo
specific torque
temperature
Torque
torque density
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Magnetic gears, like mechanical gears, transform power between different speeds and torques; however, magnetic gears' contactless nature provides inherent potential benefits over mechanical gears. A genetic algorithm was used to optimize magnetic gears at different temperatures across a range of gear ratios. Using different magnet material grades on the different rotors and for the tangentially and radially magnetized magnets can slightly increase the specific torque relative to designs with a single magnet material. The high pole count rotor requires a magnet material with higher coercivity than that of the low pole count rotor magnet material, especially for designs with a large gear ratio. While increasing the temperature produces an exponential decay in the achievable specific torque, with a compounding reduction of about 0.4% for each degree Celsius, the temperature does not significantly affect the optimal geometric parameters and primarily affects the optimal materials. The gear ratio significantly affects the optimal geometric parameters and can impact the optimal magnet materials. Additionally, the genetic algorithm was employed to characterize the impact of stack length using 3D finite element analysis. Designs with shorter stack lengths favored thinner magnets and higher pole counts and may be able to use magnet materials with lower coercivities.
ISSN:0885-8969
1558-0059
DOI:10.1109/TEC.2021.3054806