Publication detail

Impact of Manufacturing Proces on Optimal Shape of Induction Machine Slots

MACH, M. CIPÍN, R. TOMAN, M. HÁJEK, V.

Original Title

Impact of Manufacturing Proces on Optimal Shape of Induction Machine Slots

English Title

Impact of Manufacturing Proces on Optimal Shape of Induction Machine Slots

Type

conference paper

Language

en

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.

English 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

Released

09.06.2017

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

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",
  annote="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.",
  address="Environment and Electrical Engineering",
  booktitle="Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2017 IEEE International Conference on",
  chapter="141391",
  doi="10.1109/EEEIC.2017.7977589",
  howpublished="electronic, physical medium",
  institution="Environment and Electrical Engineering",
  year="2017",
  month="june",
  pages="483--487",
  publisher="Environment and Electrical Engineering",
  type="conference paper"
}