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Updated: Jul 18, 2026

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ML驱动的优化,使用声流体气泡驱动和纳米阵列涂层的微结构来实现双相微流体冷却.

Seyed Hamed Godasiaei1, Pouyan Talebizadehsardari2,3, Amir Keshmiri4

  • 1School of Chemical Engineering and Technology, Xi'an Jiaotong University, Suzhou, PR, China. hamedgoodasiay@gmail.com.

Scientific reports
|November 17, 2025
PubMed
概括

这项研究引入了一种先进的微流体冷却系统,使用超声波激活的气泡和纳米涂层针. 机器学习模型优化了性能,长期短期记忆 (LSTM) 显示出卓越的热传输预测.

关键词:
一个声学流体.临界热量流的临界热量流.机器学习. 机器学习.微型皮结构的结构统计方法 统计方法两相冷却 两相冷却 两相冷却

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Understanding steady, laminar flow between parallel plates is essential for analyzing and designing flow in narrow rectangular channels, commonly found in various water conveyance and drainage systems. The Navier-Stokes equations govern fluid motion and are generally challenging to solve due to their nonlinearity. However, simplifications are possible in certain cases, like the steady laminar flow between parallel plates. For this scenario, we assume steady, incompressible, laminar flow.