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Structural and Multidisciplinary Optimization
Published in: Structural and Multidisciplinary Optimization 3/2023

01-03-2023 | Research Paper

Feature-based topology optimization for channel cooling structure

Authors: Xi Zhao, Wei Sun, Sheng Lu, Tianyu Zhou, Taixiong Zheng, Yang Zhao

Published in: Structural and Multidisciplinary Optimization | Issue 3/2023

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Abstract

Channel cooling structures are widely used in heat generating products and tools. A popular combination has been designing using the topology optimization method and manufacturing by an advanced method, such as 3D printing. Considering the heat sink design with its thermal mechanical effects, a feature-based cooling channel topology optimization design method is given. The presented method is adopted to accurately describe the topological parameters in the cooling channel structure. To address the phenomenon of mixing between different phases and avoid the parameter continuation tuning process by using the feature-based method, a phase-mixing constraint is proposed. To improve the computational efficiency, an equivalent flow field model fit to low and high Reynold’s number is proposed. The shape feature parameters are discussed in more detail. Furthermore, a hot stamping tool is taken as an example, in which the topology optimization design of the cooling channel structure is carried out and discussed.
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Appendix
Available only for authorised users
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Metadata
Title
Feature-based topology optimization for channel cooling structure
Authors
Xi Zhao
Wei Sun
Sheng Lu
Tianyu Zhou
Taixiong Zheng
Yang Zhao
Publication date
01-03-2023
Publisher
Springer Berlin Heidelberg
Published in
Structural and Multidisciplinary Optimization / Issue 3/2023
Print ISSN: 1615-147X
Electronic ISSN: 1615-1488
DOI
https://doi.org/10.1007/s00158-023-03498-9

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