Evolutionary design of conductive pathways using a generative autoencoder
To enhance performance and energy efficiency in compact electronic systems, effective thermal management through miniaturized heat sinks is essential. This study introduces a generative design framework for optimizing bi-material heat sink architectures suitable for space-constrained electronics. Co...
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| Vydáno v: | International communications in heat and mass transfer Ročník 166; s. 109098 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier Ltd
01.08.2025
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| Témata: | |
| ISSN: | 0735-1933 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | To enhance performance and energy efficiency in compact electronic systems, effective thermal management through miniaturized heat sinks is essential. This study introduces a generative design framework for optimizing bi-material heat sink architectures suitable for space-constrained electronics. Conventional thermal optimization methods often rely on gradient-based techniques or parametric geometric shapes, which limit adaptability and design resolution. In contrast, our approach integrates topology optimization, constructal theory, and bio-inspired principles via a generative model that couples a variational autoencoder with evolutionary algorithms. Trained on a diverse dataset of microleaf structures, constructal patterns, and synthetic conductive networks, the model addresses the area-to-point conduction challenge, a common scenario where heat must be efficiently transferred from a broad source area to a narrow sink. Compared to standard methods, the proposed design pipeline reduces average device temperatures by 10% and peak hotspot temperatures by up to 1%. Additionally, it achieves a 13% increase in Pareto front hypervolume, indicating superior trade-offs among conflicting thermal objectives. By enabling smooth feature transitions and adaptive geometries through latent space interpolation, the method supports modular and scalable design of unit cells and full assemblies. A demonstrative case assembles these cells into a manufacturable three-dimensional heat sink tailored for spatially varying thermal loads. The methodology can extend beyond conductive heat sinks to encompass conjugate heat transfer and multi-physics systems by adjusting design objectives or finite element formulations. This work offers a blueprint for generative thermofluids design in applications such as phase-change materials, heat pipes, and cold plate systems.
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| ISSN: | 0735-1933 |
| DOI: | 10.1016/j.icheatmasstransfer.2025.109098 |