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Large-scale 3D multiphysics topology optimization of flow-heat-structural models including an islands constraint
Linköping University, Department of Management and Engineering, Solid Mechanics. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7759-2767
Linköping University, Department of Management and Engineering, Applied Thermodynamics and Fluid Mechanics. Linköping University, Faculty of Science & Engineering.
Siemens Energy AB, Sweden.
Linköping University, Department of Management and Engineering, Solid Mechanics. Linköping University, Faculty of Science & Engineering.
2025 (English)In: Engineering optimization (Print), ISSN 0305-215X, E-ISSN 1029-0273, Vol. 57, no 8, p. 2173-2207Article in journal (Refereed) Published
Abstract [en]

This article demonstrates a large-scale 3D topology optimization problem formulation for components in need of internal cooling owing to surrounding hot gas flow. A conjugate heat transfer model is used and the goal of the optimization problem is to maximize the thermal performance subject to a coolant consumption limit. As a model problem, the interior design of a gas turbine guide-vane-like geometry is considered. High-quality finite element meshes are generated automatically by means of a voxelization method. A structural compliance constraint for thermo-mechanical loads, and a constraint for the suppression of free-floating structural parts, are included in the problem formulation. For the latter, an analytical expression for the constraint limit is derived. Several numerical examples indicate that the proposed problem formulation is able to generate interesting conceptual designs for interior-vane-cooling solutions.

Place, publisher, year, edition, pages
TAYLOR & FRANCIS LTD , 2025. Vol. 57, no 8, p. 2173-2207
Keywords [en]
Topology optimization; conjugate heat transfer; voxelization; high performance computing; free-floating islands
National Category
Other Mechanical Engineering
Identifiers
URN: urn:nbn:se:liu:diva-210793DOI: 10.1080/0305215X.2024.2389281ISI: 001375586500001Scopus ID: 2-s2.0-85203539735OAI: oai:DiVA.org:liu-210793DiVA, id: diva2:1927088
Note

Funding Agencies|Swedish National Supercomputer Centre [2022-06725]; Swedish Research Council

Available from: 2025-01-14 Created: 2025-01-14 Last updated: 2025-10-07Bibliographically approved

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Lundgren, JonasNadali Najafabadi, HosseinThore, Carl-Johan

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Lundgren, JonasNadali Najafabadi, HosseinThore, Carl-Johan
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