Additive manufacturing-aware topology optimization of cooling channels using a reduced-order cold plate model for electric machine water jackets

Integrated liquid cooling jackets are widely used in the thermal management of high-power-density motors, but traditional designs rely on parametric channel layouts, failing to fully utilize the geometric degrees of freedom offered by additive manufacturing (AM). This paper proposes an AM-aware topology optimization framework based on a reduced-order cold plate model. A two-dimensional case study systematically investigates the effects of manufacturability-oriented regularization on channel topology and thermo-hydraulic performance. Results show that stronger regularization substantially reduces interface complexity and fluid area fraction, while generally increasing hydraulic resistance and degrading thermal performance. A sharp-interface reanalysis further demonstrates good agreement in the global thermal response, while revealing the sensitivity of the local peak temperature and hydraulic conductance to the density-based representation.

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Publication Details

Journal
Proceedings of the Estonian Academy of Sciences
Published
2026-11-02
DOI
https://doi.org/10.3176/proc.2026.4.08
Primary Topic
Topology Optimization in Engineering
Type
article
Field-Weighted Citation Impact
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article

Additive manufacturing-aware topology optimization of cooling channels using a reduced-order cold plate model for electric machine water jackets

Martin Sarap, Ants Kallaste, Toomas Vaimann, Yang Zhang
3 links
Proceedings of the Estonian Academy of Sciences
Topology Optimization in Engineering
article

Additive manufacturing-aware topology optimization of cooling channels using a reduced-order cold plate model for electric machine water jackets

Martin Sarap, Ants Kallaste, Toomas Vaimann, Yang Zhang
article en

Abstract

Integrated liquid cooling jackets are widely used in the thermal management of high-power-density motors, but traditional designs rely on parametric channel layouts, failing to fully utilize the geometric degrees of freedom offered by additive manufacturing (AM). This paper proposes an AM-aware topology optimization framework based on a reduced-order cold plate model. A two-dimensional case study systematically investigates the effects of manufacturability-oriented regularization on channel topology and thermo-hydraulic performance. Results show that stronger regularization substantially reduces interface complexity and fluid area fraction, while generally increasing hydraulic resistance and degrading thermal performance. A sharp-interface reanalysis further demonstrates good agreement in the global thermal response, while revealing the sensitivity of the local peak temperature and hydraulic conductance to the density-based representation.

Proceedings of the Estonian Academy of SciencesVol. 75(4)
Tallinn University of Technology (EE)
Affordable and clean energy, Industry, innovation and infrastructure
Openalex Percentile: Top 21%
Topology Optimization in Engineering
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