Density-based topology optimization strategy for optimal design of uniform flow manifolds

Journal Article (2025)
Author(s)

Sanjay Vermani (Vlaamse Instelling voor Technologisch Onderzoek, EnergyVille)

N. Anand (TU Delft - Flight Performance and Propulsion, EnergyVille, Vlaamse Instelling voor Technologisch Onderzoek)

Research Group
Flight Performance and Propulsion
DOI related publication
https://doi.org/10.1016/j.compfluid.2025.106847
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Publication Year
2025
Language
English
Research Group
Flight Performance and Propulsion
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Volume number
302
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Abstract

Flow manifolds are devices that distribute or collect fluid across multiple channels, playing a crucial role in the performance of many fluid and energy systems. However, designing efficient manifolds that ensure uniform flow distribution remains challenging, especially for multi-channel three-dimensional manifolds. This study presents a scalable topology optimization framework for systematically designing multi-channel flow manifolds. The proposed method builds on the conventional density-based topology optimization formulation by introducing a flow maldistribution coefficient as an explicit constraint. This novel approach was implemented using the incompressible Navier–Stokes flow solver available in the open-source CFD suite SU2. The performance of the proposed method was benchmarked against two established topology optimization strategies using an exemplary planar z-type flow manifold, where both the inlet and outlet manifolds were designed simultaneously. The results demonstrate that the proposed method achieves flow uniformity comparable to established approaches while significantly reducing computational costs. Furthermore, when applied to large-scale three-dimensional problems, the proposed method produces feasible designs that achieve uniform flow distribution and exhibit innovative geometrical features. These results highlight the robustness and scalability of the proposed method.

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