Detail publikace

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.

Originální název

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

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

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

Vydáno

21. 6. 2021

Nakladatel

IEEE

ISBN

978-1-7281-3123-8

Kniha

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

Strany od

1

Strany do

4

Strany počet

4

URL

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"
}