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LOLOVÁ, I.; BRAMERDORFER, G.; BÁRTA, J.
Originální název
Manufacturability Oriented Topology Optimization Framework for Electrical Machines Using NGnet
Anglický název
Druh
Článek WoS
Originální abstrakt
Topology optimization often produces unfeasible geometries, making manufacturing challenging. This paper addresses this limitation through the development of a methodology that utilizes a normalized Gaussian network (NGnet) with Gaussian functions of variable sizes unevenly distributed within an optimized space. The overlap of the Gaussian functions is analyzed for its impact on the final geometry. In addition, several modifications are applied to the NGnet output to achieve feasible geometries. Triangular elements are used to smooth the final geometry, enhancing its manufacturability. The matrix representation is used as a computational encoding for topology search and constraint checking, while the output is intended to be transferable to standard CAD and conventional manufacturing routes (laminated electrical steel).The main contribution is the integration of manufacturability constraints and geometry-repair operations before FEA evaluation, which reduces the number of infeasible candidates explored by the optimizer. The approach is demonstrated on a line-start synchronous reluctance machine rotor case study and can be extended to other electrical machine rotor topologies requiring multi-material feasibility constraints.
Anglický abstrakt
Klíčová slova
AC motors | evaluation process | line-start synchronous reluctance motor | manufacturability | normalized Gaussian function optimization | topology optimization
Klíčová slova v angličtině
Autoři
Vydáno
30.04.2026
Nakladatel
Institute of Electrical and Electronics Engineers Inc.
Periodikum
IEEE Transactions on Energy Conversion
Svazek
41
Číslo
3
Stát
Nizozemsko
Strany od
2269
Strany do
2278
Strany počet
11
URL
https://ieeexplore.ieee.org/document/11501761
BibTex
@article{BUT211656, author="Iveta {Lolová} and {} and Jan {Bárta}", title="Manufacturability Oriented Topology Optimization Framework for Electrical Machines Using NGnet", journal="IEEE Transactions on Energy Conversion", year="2026", volume="41", number="3", pages="11", doi="10.1109/TEC.2026.3689444", issn="0885-8969", url="https://ieeexplore.ieee.org/document/11501761" }