TY - GEN
T1 - Influence of manufacturing and drive effects in high-speed, high-power-density pm machine for flooded pump application
AU - Al-Ani, Mahir
AU - Al-Timimy, Ahmed
AU - Giangrande, Paolo
AU - Degano, Michele
AU - Lindh, Pia
AU - Zhang, He
AU - Galea, Michael
AU - Gerada, Chris
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/4/8
Y1 - 2021/4/8
N2 - Electrical machines for aerospace applications are characterized by their high-power-density and fault tolerance capability. Therefore, PM machines with high current densities are the widely used option for such application. This paper presents a study of the influence of the manufacturing and drive effects on a PM machine designed for high-speed, high- power-density aerospace flooded pump application. Three models have been created, the original model (ORI), a model with the properties of the characterized stator core material (CHM), and the final model with the characterized material and the high-speed measured current waveform, i.e. drive effect, (CHMDE). A global genetic algorithm multi-physics optimization consisting of electromagnetic, mechanical and thermal models has been used to optimize machines. Finally, a comparison between the three optimized models and the original machine is given.
AB - Electrical machines for aerospace applications are characterized by their high-power-density and fault tolerance capability. Therefore, PM machines with high current densities are the widely used option for such application. This paper presents a study of the influence of the manufacturing and drive effects on a PM machine designed for high-speed, high- power-density aerospace flooded pump application. Three models have been created, the original model (ORI), a model with the properties of the characterized stator core material (CHM), and the final model with the characterized material and the high-speed measured current waveform, i.e. drive effect, (CHMDE). A global genetic algorithm multi-physics optimization consisting of electromagnetic, mechanical and thermal models has been used to optimize machines. Finally, a comparison between the three optimized models and the original machine is given.
KW - Genetic algorithm
KW - High power density
KW - High speed permanent magnet machines
KW - Manufacturing effects
KW - Material characterization
KW - Multi-physics
KW - Optimization
UR - http://www.scopus.com/inward/record.url?scp=85106629336&partnerID=8YFLogxK
U2 - 10.1109/WEMDCD51469.2021.9425659
DO - 10.1109/WEMDCD51469.2021.9425659
M3 - Conference contribution
AN - SCOPUS:85106629336
T3 - Proceedings - 2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021
SP - 88
EP - 94
BT - Proceedings - 2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021
Y2 - 8 April 2021 through 9 April 2021
ER -