DocumentCode :
709960
Title :
Electromagnetic/thermal design procedure of an aerospace electric propeller
Author :
Bouzidi, Ikhlas ; Masmoudi, Ahmed ; Bianchi, Nicola
Author_Institution :
Res. Lab. on Renewable Energies & Electr. Vehicles, Univ. of SfaxSfax, Sfax, Tunisia
fYear :
2015
fDate :
March 31 2015-April 2 2015
Firstpage :
1
Lastpage :
9
Abstract :
Much attention is focused upon the integration of electric actuators in aerospace applications to accomplish many functions, including the propulsion one. Within this trend, the paper is aimed at the design, modeling and optimization of a five phase fractional-slot PM synchronous motor to be integrated in an electrically-propelled plane. Accounting for the fact that the design procedure concerns both electromagnetic and thermal features, an analytical formulation of the corresponding major design parameters is derived. Then, an electromagnetic/thermal FEA-based investigation of the initial concept has led to an average temperature rise lower than the aerospace application limit one. An optimization of the initial design is achieved using a FEA-based iterative procedure thar yields a 22.5% decrease of the stack length resulting in a weight reduction of 22.6%.
Keywords :
aerospace propulsion; electric propulsion; finite element analysis; iterative methods; optimisation; permanent magnet motors; propellers; synchronous motors; FEA-based iterative procedure; aerospace electric propeller; electric actuator; electrically-propelled plane; electromagnetic-thermal design procedure; five phase fractional-slot PM synchronous motor; optimization; propulsion; Batteries; Current density; Electromagnetics; Optimization; Stators; Thermal analysis; Torque; Aerospace electric propulsion systems; FEA-based sizing and optimization; PM synchronous motors; electromagnetic model; fractional-slot PM synchronous motors; thermal model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ecological Vehicles and Renewable Energies (EVER), 2015 Tenth International Conference on
Conference_Location :
Monte Carlo
Print_ISBN :
978-1-4673-6784-4
Type :
conf
DOI :
10.1109/EVER.2015.7113002
Filename :
7113002
Link To Document :
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