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Thermal performance optimization for chip cooling in microchannels via genetic-algorithm-driven three-dimensional morphological modulation
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DOI：10.1016/j.icheatmasstransfer.2026.111138.png)
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Abstract
En 中文
• A genetic-algorithm-based framework is proposed for 3D axial optimization of micropillar structures. • Axial morphology evolution induces streamwise vortices and enhances fluid mixing. • The optimized structures reduce the maximum temperature by up to 13 °C with a reasonable pressure drop. • A general 3D optimization paradigm applicable to parameterized structures is established.
Keywords:
genetic algorithm
micropillar structures
fluid mixing
thermal performance
microchannel cooling
Journal
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6.4
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1.0W
Citations:
2.5W