{"title":"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","authors":"Amirhossein Khadang, Hojatollah Basirat, Heydar Maddah, Mohammad Hossein Ahmadi, Mohsen Sharifpur","doi":"10.1080/10407782.2024.2375632","DOIUrl":null,"url":null,"abstract":"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...","PeriodicalId":19183,"journal":{"name":"Numerical Heat Transfer, Part A: Applications","volume":"10 1","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"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\",\"authors\":\"Amirhossein Khadang, Hojatollah Basirat, Heydar Maddah, Mohammad Hossein Ahmadi, Mohsen Sharifpur\",\"doi\":\"10.1080/10407782.2024.2375632\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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...\",\"PeriodicalId\":19183,\"journal\":{\"name\":\"Numerical Heat Transfer, Part A: Applications\",\"volume\":\"10 1\",\"pages\":\"\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2024-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Numerical Heat Transfer, Part A: Applications\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/10407782.2024.2375632\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MECHANICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Numerical Heat Transfer, Part A: Applications","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/10407782.2024.2375632","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MECHANICS","Score":null,"Total":0}
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...
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.
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