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On CFD-based topology optimization methodology with utilization of hybrid fictitious domain-immersed boundary method
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SYSNO ASEP 0566492 Document Type A - Abstract R&D Document Type The record was not marked in the RIV R&D Document Type Není vybrán druh dokumentu Title On CFD-based topology optimization methodology with utilization of hybrid fictitious domain-immersed boundary method Author(s) Kubíčková, Lucie (UT-L)
Isoz, Martin (UT-L) ORCIDNumber of authors 2 Number of pages 2 s. Action OpenFOAM Workshop /17./ Event date 11.07.2022 - 14.07.2022 VEvent location Cambridge, United Kingdom Country GB - United Kingdom Event type WRD Language eng - English Keywords HFDIB ; topology optimization ; CFD ; OpenFOAM Subject RIV BA - General Mathematics OECD category Applied mathematics R&D Projects EF15_003/0000493 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Institutional support UT-L - RVO:61388998 Annotation Topology optimization is a widely used technique that helps engineers design device components in a highly-specialized and application-driven way. In the present work, we propose a methodology for topology optimization of device components that are in contact with flowing fluid. In particular, the methodology is based on a connection of multiobjective evolutionary algorithms (MOEAs), CFD and hybrid fictitious domain-immersed boundary method (HFDIB), recently presented in [1]. The usage of HFDIB increases the CFD model evaluation speed and the framework robustness and generality. The methodology capabilities are illustrated on a proof-of-concept problem of a diffuser shape optimization, the goal of which was to increase the diffuser energy efficiency. This particular problem has been chosen, since we have already conducted a similar optimization using a less general optimization methodology. The older methodology was validated via experiment and served as a reference to test the newly prepared framework. Workplace Institute of Thermomechanics Contact Marie Kajprová, kajprova@it.cas.cz, Tel.: 266 053 154 ; Jana Lahovská, jaja@it.cas.cz, Tel.: 266 053 823 Year of Publishing 2023
Number of the records: 1