CFD-ANN-based model for parametric analysis of segmented plate-fin heat sinks: Exploring heat transfer and pressure drop trade-offs

IF 4.9 2区工程技术 Q1 ENGINEERING, MECHANICAL

International Journal of Thermal Sciences Pub Date : 2025-07-08 DOI:10.1016/j.ijthermalsci.2025.110109

Abdelmounaim Dadda , Mohamed Boujoudar , Nouriddine Houran , Hanane Messaoudi , Mohamed Asbik , Ahmed Haddou , Adeel Arshad

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引用次数: 0

Abstract

Effective air cooling remained critical for high-power electronics as heat fluxes increased. This study integrated experimental measurements, three-dimensional Computational Fluid Dynamics simulations (CFD), and an Artificial Neural Network (ANN) surrogate model to assess air-cooled plate-fin heat sinks under forced convection. Five different modified designs with segmented and staggered fins achieved up to 46.8% reduction in junction-to-ambient thermal resistance relative to the baseline, but the most aggressive layout (HS6) raised the pressure drop to approximately 1000 Pa, about 20x higher. The trained neural network model reproduced CFD temperatures and pressure drops with R² > 0.99, enabling rapid exploration of the design space. From these data, two closed-form correlations for maximum junction temperature and pressure drop were derived, offering instant estimates during preliminary design without further CFD runs. Overall, staggered-segmented fins delivered substantial thermal gains, yet the associated rise in pumping power must be weighed during early design.

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基于cfd - ann的分段板翅散热器参数分析模型：探索传热和压降权衡

随着热流的增加，有效的空气冷却对大功率电子设备仍然至关重要。本研究结合实验测量、三维计算流体动力学模拟（CFD）和人工神经网络（ANN）替代模型来评估强迫对流下的风冷板翅散热器。与基线相比，采用分段和交错翅片的五种不同改进设计可将结对环境的热阻降低46.8%，但最激进的布局（HS6）将压降提高到约1000 Pa，高出约20倍。训练后的神经网络模型利用R2 >再现CFD温度和压降；0.99，可以快速探索设计空间。从这些数据中，可以推导出最大结温和压降的两个封闭相关性，从而在初步设计期间提供即时估计，而无需进一步的CFD运行。总的来说，交错分段翅片提供了大量的热增益，但在早期设计时必须权衡相关的泵送功率的增加。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Thermal Sciences 工程技术-工程：机械

CiteScore

8.10

自引率

11.10%

发文量

531

审稿时长

55 days

期刊介绍： The International Journal of Thermal Sciences is a journal devoted to the publication of fundamental studies on the physics of transfer processes in general, with an emphasis on thermal aspects and also applied research on various processes, energy systems and the environment. Articles are published in English and French, and are subject to peer review. The fundamental subjects considered within the scope of the journal are: * Heat and relevant mass transfer at all scales (nano, micro and macro) and in all types of material (heterogeneous, composites, biological,...) and fluid flow * Forced, natural or mixed convection in reactive or non-reactive media * Single or multi–phase fluid flow with or without phase change * Near–and far–field radiative heat transfer * Combined modes of heat transfer in complex systems (for example, plasmas, biological, geological,...) * Multiscale modelling The applied research topics include: * Heat exchangers, heat pipes, cooling processes * Transport phenomena taking place in industrial processes (chemical, food and agricultural, metallurgical, space and aeronautical, automobile industries) * Nano–and micro–technology for energy, space, biosystems and devices * Heat transport analysis in advanced systems * Impact of energy–related processes on environment, and emerging energy systems The study of thermophysical properties of materials and fluids, thermal measurement techniques, inverse methods, and the developments of experimental methods are within the scope of the International Journal of Thermal Sciences which also covers the modelling, and numerical methods applied to thermal transfer.