Publication detail

Multi-Objective Topology Optimization of Synchronous Reluctance Machines Considering Design for Manufacturability Aspects

BRAMERDORFER, G. MARTH, E. SILBER, S. BÁRTA, J. LOLOVÁ, I. KNEBL, L.

Original Title

Multi-Objective Topology Optimization of Synchronous Reluctance Machines Considering Design for Manufacturability Aspects

Type

conference paper

Language

English

Original Abstract

This work is about optimizing synchronous reluctance machines considering a topology optimization (TO) based approach. This technique gives more design flexibility when comparing with finding ideal parameters for predefined geometries. A consistent implementation is presented that significantly reduces the overall computational effort compared to classical TO. In addition, attention is paid to obtaining designs ready for manufacturing. By contrast to the majority of previous work, the analysis encompasses multiple often conflicting objectives relevant for manufacturers and consequent customers, i.e., efficiency, maximum torque, torque ripple, and power factor. Based on the derived results, an individual tradeoff can be found and new insights into optimal designs for various applications can be gained.

Keywords

design for manufacturability, evolutionary algorithms, manufacturing impact, material degradation, synchronous reluctance machine, topology optimization

Authors

BRAMERDORFER, G.; MARTH, E.; SILBER, S.; BÁRTA, J.; LOLOVÁ, I.; KNEBL, L.

Released

21. 6. 2021

Publisher

IEEE

ISBN

978-1-7281-3123-8

Book

2020 IEEE 19th Biennial Conference on Electromagnetic Field Computation (CEFC)

Pages from

1

Pages to

4

Pages count

4

URL

https://ieeexplore.ieee.org/document/9451408

BibTex

@inproceedings{BUT172203,
  author="Gerd {Bramerdorfer} and Edmund {Marth} and Siegfried {Silber} and Jan {Bárta} and Iveta {Lolová} and Ladislav {Knebl}",
  title="Multi-Objective Topology Optimization of Synchronous Reluctance Machines Considering Design for Manufacturability Aspects",
  booktitle="2020 IEEE 19th Biennial Conference on Electromagnetic Field Computation (CEFC)",
  year="2021",
  pages="1--4",
  publisher="IEEE",
  doi="10.1109/CEFC46938.2020.9451408",
  isbn="978-1-7281-3123-8",
  url="https://ieeexplore.ieee.org/document/9451408"
}