Evaluation of thermal conductivity of MgO-MWCNTs/EG hybrid nanofluids based on experimental data by selecting optimal artificial neural networks

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• 作者：Masoud Vafaei^a ; Masoud Afrand^a ; ^{masoud.afrand@pmc.iaun.ac.ir} ; ^{masoud_afrand@yahoo.com} ; Nima Sina^a ; Rasool Kalbasi^a ; Forough Sourani^a ; Hamid Teimouri^b
• 关键词：Thermal conductivity ; Hybrid nanofluid ; Artificial neural network ; Experimental data ; MgO-MWCNTs
• 刊名：Physica E: Low-dimensional Systems and Nanostructures
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：85
• 期：Complete
• 页码：90-96
• 全文大小：1183 K
• 卷排序：85

文摘

Thermal conductivity ratio of MgO-MWCNTs/EG hybrid nanofluids has been evaluated. Selecting an optimal artificial neural network to predict thermal conductivity ratio. Experimental data has been analyzed in concentration range of 0.05–0.6%. Comparison between four optimal ANN results and experimental data.