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Updated: Jul 12, 2025

Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment
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磁盘形微通道散热器的热液性能优化,采用计算流体动力学,人工神经网络和响应表面方法学

Kourosh Vaferi1, Mohammad Vajdi1, Sahar Nekahi1

  • 1Department of Mechanical Engineering, University of Mohaghegh Ardabili, Ardabil, Iran.

Heliyon
|October 27, 2023
PubMed
概括

这项研究优化了生物碎片散热器的性能,以提高性能. 人工神经网络和响应表面方法学准确地预测了热行为,通过特定的面积比和雷诺兹数实现了最大的效率.

关键词:
人工神经网络的人工神经网络仿生碎片式散热器的散热器在这里,Python是Python.响应表面方法 响应表面方法热和水力动力学性能 热和水力动力学性能

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