A novel 3D parametrization approach for topology optimization of rollbonded cooling plates
A novel 3D parametrization approach for topology optimization of rollbonded cooling plates
Electric mobility depends on batteries, which typically require a thermal management system. Those systems are often realized as sheet metal plates with integrated channel structures. Rollbonding technology is one of the most promising technologies to produce such cooling plates due to the competitive cost structure in combination with its unmatched design freedom. However, the design of a cooling plate manufactured using rollbonding is challenging. Such a design requires thermal and hydraulic targets to be considered while manufacturing constraints must be satisfied. Due to the given design freedom and the conflicting targets manual design of cooling plates is challenging and requires significant development time and effort. Topology optimization is a popular method for automated and optimal design of components.
In this paper, the authors present a strategy to design rollbonded cooling plates by topology optimization, taking thermal, hydraulic, and manufacturing requirements into account. State-of-the-art methods usually consider channel shapes with rectangular cross-sections, ignoring the effects of realistically curved channel cross-sections as they result from the manufacturing technology. The authors present a novel parametrization strategy, considering the 3D channel shape in a realistic manner. The mathematical formulation of the novel modelling approach is shown and validated based on a small, simplified test case. The methodology is implemented into a custom, solver-agnostic framework and coupled with commercial Finite Element software.
136-149
Schewe, Frederik
779acaaa-87af-4b5a-b88f-a9c6f2d2e0f8
Klinke, Niklas
b48b3885-f921-4ad4-b7f8-5b32c5ad8962
Elham, Ali
676043c6-547a-4081-8521-1567885ad41a
21 December 2024
Schewe, Frederik
779acaaa-87af-4b5a-b88f-a9c6f2d2e0f8
Klinke, Niklas
b48b3885-f921-4ad4-b7f8-5b32c5ad8962
Elham, Ali
676043c6-547a-4081-8521-1567885ad41a
Schewe, Frederik, Klinke, Niklas and Elham, Ali
(2024)
A novel 3D parametrization approach for topology optimization of rollbonded cooling plates.
Dröder, K. and Vietor, T.
(eds.)
In Circularity Days 2024.
Springer.
.
(doi:10.1007/978-3-658-45889-8_11).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Electric mobility depends on batteries, which typically require a thermal management system. Those systems are often realized as sheet metal plates with integrated channel structures. Rollbonding technology is one of the most promising technologies to produce such cooling plates due to the competitive cost structure in combination with its unmatched design freedom. However, the design of a cooling plate manufactured using rollbonding is challenging. Such a design requires thermal and hydraulic targets to be considered while manufacturing constraints must be satisfied. Due to the given design freedom and the conflicting targets manual design of cooling plates is challenging and requires significant development time and effort. Topology optimization is a popular method for automated and optimal design of components.
In this paper, the authors present a strategy to design rollbonded cooling plates by topology optimization, taking thermal, hydraulic, and manufacturing requirements into account. State-of-the-art methods usually consider channel shapes with rectangular cross-sections, ignoring the effects of realistically curved channel cross-sections as they result from the manufacturing technology. The authors present a novel parametrization strategy, considering the 3D channel shape in a realistic manner. The mathematical formulation of the novel modelling approach is shown and validated based on a small, simplified test case. The methodology is implemented into a custom, solver-agnostic framework and coupled with commercial Finite Element software.
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More information
Published date: 21 December 2024
Identifiers
Local EPrints ID: 497630
URI: http://eprints.soton.ac.uk/id/eprint/497630
ISSN: 2524-4787
PURE UUID: 75f76cfb-fce5-4346-a7fa-c8d9e0475e65
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Date deposited: 28 Jan 2025 17:58
Last modified: 28 Jan 2025 17:58
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Contributors
Author:
Frederik Schewe
Author:
Niklas Klinke
Editor:
K. Dröder
Editor:
T. Vietor
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