Practical approach to multi-objective optimization in ANSYS softwares
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F22%3A43972579" target="_blank" >RIV/49777513:23220/22:43972579 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9983056" target="_blank" >https://ieeexplore.ieee.org/document/9983056</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ME54704.2022.9983056" target="_blank" >10.1109/ME54704.2022.9983056</a>
Alternative languages
Result language
angličtina
Original language name
Practical approach to multi-objective optimization in ANSYS softwares
Original language description
Optimization of a complex system, such as an electric traction motor, often requires a multiphysics approach. It is a coupled case, where the outputs of one system are also the inputs of another system. If we talk about the design of the electric motor, then the output of the electromagnetic design is losses, which are then used as a heat source for thermal calculation. Hence the need for coupling, which is often a source of problems. This paper aims to present a practical procedure for optimizing the cooling of an air-cooled traction motor. Serialization of data of electromagnetic, thermal, and ventilation system will be also presented here. Subsequent optimization thus represents an independent task that works with already prepared input and output parameters. The optimization itself is based on a surrogate model, namely the Response Surface. The advantage of this approach is the reduction of computational complexity. Based on the mapped design space of input and output parameters, a reduced model is created, from which we can interpolate in the definition range of selected parameters. The paper focuses on electromagnetic, thermal, and ventilation systems, while the presented optimization procedure can be applied to any system, for example mechanical. All software used is from ANSYS. Specifically, Ansys Fluent for thermal and ventilation calculations, Ansys Maxwell for electromagnetic calculations, and optimization Ansys DesignXplorer is used.
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
<a href="/en/project/EF18_069%2F0009855" target="_blank" >EF18_069/0009855: Electrical Engineering Technologies with High-Level of Embedded Intelligence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2022 20th International Conference on Mechatronics - Mechatronika (ME 2022)
ISBN
978-1-66541-040-3
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
IEEE
Place of publication
Piscataway
Event location
Pilsen, Czech Republic
Event date
Dec 7, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000947331700063