研究使用氧化铝纳米流体和不同扭曲间距的扭曲带对传热效率的影响，并在数据预测中使用感知器人工神经网络

IF 2.8 4区工程技术 Q2 MECHANICS

Numerical Heat Transfer, Part A: Applications Pub Date : 2024-08-01 DOI:10.1080/10407782.2024.2375632

Amirhossein Khadang, Hojatollah Basirat, Heydar Maddah, Mohammad Hossein Ahmadi, Mohsen Sharifpur

引用次数: 0

摘要

本研究探讨了体积分数（VF）为 1%和 2%的氧化铝纳米流体在四种不同管道中的影响，这四种管道具有相同的弯曲度以及均匀、低-高-低、低-高和高...

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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Investigating the effect of using aluminum oxide nanofluid and twisted tapes with different twisted pitches on the heat transfer efficiency and using perceptron artificial neural networks in data prediction

This study investigates the effect of aluminum oxide nanofluid with 1% and 2% volume fractions (VFs) in four different tubes with identical bending and the uniform, low-high-low, low-high, and high...

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来源期刊

Numerical Heat Transfer, Part A: Applications 工程技术-力学

CiteScore

3.60

自引率

10.00%

发文量

127

审稿时长

3.8 months

期刊介绍： Published 24 times per year, Numerical Heat Transfer, Part A: Applications covers numerically-based, results-oriented papers highlighting problems in heat transfer, mass transfer, and fluid flow. Underlying numerical solutions may be based either on available methodologies or on adaptations of moderate extensions of available methods. Experimental results which support the numerical solutions are also acceptable.