Artificial neural network modeling for prediction of thermal conductivity of functionalized MWCNTs/water nanofluids and a new empirical correlation

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AFRAND MASOUD; HEMMAT ESFE MOHAMMAD

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Journal: Modeling in Engineering Year:2018 | Volume:16 | Issue:53 Page(s): 67-73

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Title

Artificial neural network modeling for prediction of thermal conductivity of functionalized MWCNTs/water nanofluids and a new empirical correlation

Author(s)

AFRAND MASOUD | HEMMAT ESFE MOHAMMAD | Issue Writer Certificate

Keywords

ModelingQ2

Neural networkQ2

Thermal conductivityQ1

Empirical correlationQ1

NanofluidQ1

MWCNTQ1

Abstract

In this paper, based on experimental data, by employing regression method and artificial Neural network, the effects of temperature and nanotubes concentration on Thermal conductivity of COOH functionalized Multi Walled Carbon Nano Tubes / water was investigated. A very accurate correlation for Thermal conductivity ratio was suggested as a function of temperature and solid volume fraction. Artificial Neural network Modeling was performed. Temperature and solid volume fraction were employed as input variables and Thermal conductivity ratio was used as outputs variable. Optimized ANN by considering minimum prediction error was obtained. Comparisons showed that the ANN can more precisely predict the Thermal conductivity ratio of COOH functionalized Multi Walled Carbon Nano Tubes/water Nanofluids. The results also revealed that the Empirical correlation has an acceptable accuracy. Experimental results showed that the Thermal conductivity has a direct and reverse relationshipThe existing correlations in literature were unable to predict viscosity data, hence, a new correlation has been proposed.

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APA: Copy

AFRAND, MASOUD, & HEMMAT ESFE, MOHAMMAD. (2018). Artificial neural network modeling for prediction of thermal conductivity of functionalized MWCNTs/water nanofluids and a new empirical correlation. JOURNAL OF MODELING IN ENGINEERING, 16(53 ), 67-73. SID. https://sid.ir/paper/358454/en

Vancouver: Copy

AFRAND MASOUD, HEMMAT ESFE MOHAMMAD. Artificial neural network modeling for prediction of thermal conductivity of functionalized MWCNTs/water nanofluids and a new empirical correlation. JOURNAL OF MODELING IN ENGINEERING[Internet]. 2018;16(53 ):67-73. Available from: https://sid.ir/paper/358454/en

IEEE: Copy

MASOUD AFRAND, and MOHAMMAD HEMMAT ESFE, “Artificial neural network modeling for prediction of thermal conductivity of functionalized MWCNTs/water nanofluids and a new empirical correlation,” JOURNAL OF MODELING IN ENGINEERING, vol. 16, no. 53 , pp. 67–73, 2018, [Online]. Available: https://sid.ir/paper/358454/en

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