Multi-Objective Topology Optimization of Synchronous Reluctance Machines Considering Design for Manufacturability Aspects
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F21%3APU141349" target="_blank" >RIV/00216305:26220/21:PU141349 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9451408" target="_blank" >https://ieeexplore.ieee.org/document/9451408</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CEFC46938.2020.9451408" target="_blank" >10.1109/CEFC46938.2020.9451408</a>
Alternative languages
Result language
angličtina
Original language name
Multi-Objective Topology Optimization of Synchronous Reluctance Machines Considering Design for Manufacturability Aspects
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2020 IEEE 19th Biennial Conference on Electromagnetic Field Computation (CEFC)
ISBN
978-1-7281-3123-8
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
1-4
Publisher name
IEEE
Place of publication
neuveden
Event location
Pisa, Virtual Event
Event date
Nov 16, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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