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MACH, M. CIPÍN, R. TOMAN, M. HÁJEK, V.
Original Title
Impact of Manufacturing Proces on Optimal Shape of Induction Machine Slots
Type
conference paper
Language
English
Original Abstract
This article deals with optimization of slots of an induction machine with a genetic algorithm. The considered machine is a small induction machine with output power of 600 W. Properties of sheets of the considered machine could be strongly influenced by cutting because of their small size. The main aim of this article is to show how optimal shape of slots (in terms of efficiency) is influenced by manufacturing process. To study this, three finite elements models of the machine are used for computing within genetic algorithm run. First one is simple model without any consideration of manufacturing process. The second model is shaped exactly according to drawings from manufacturer (the real shape is not circular) and there are also rivets in stator modeled in this model. The third model additionally contains areas with different material properties along cutting edges which simulate impact of cutting on materials properties.
Keywords
induction machine; efficiency; optimization; genetic algorithm; manufacturing process; FEM simulation
Authors
MACH, M.; CIPÍN, R.; TOMAN, M.; HÁJEK, V.
Released
9. 6. 2017
Publisher
Environment and Electrical Engineering
Location
Milán
ISBN
978-1-5386-3917-7
Book
Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2017 IEEE International Conference on
Pages from
483
Pages to
487
Pages count
5
URL
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7977589
BibTex
@inproceedings{BUT141391, author="Martin {Mach} and Radoslav {Cipín} and Marek {Toman} and Vítězslav {Hájek}", title="Impact of Manufacturing Proces on Optimal Shape of Induction Machine Slots", booktitle="Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2017 IEEE International Conference on", year="2017", pages="483--487", publisher="Environment and Electrical Engineering", address="Milán", doi="10.1109/EEEIC.2017.7977589", isbn="978-1-5386-3917-7", url="http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7977589" }