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Optimization of Viscosity in MWCNT-MgO (35–65%)/5W50 Nanofluid and Comparison of Experimental Results with the Designed ANN

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Abstract

This study was on the optimization of the viscosity of MWCNT-MgO (35–65%)/5W50 nanofluid and comparison of experimental results with the designed artificial neural network (ANN). The experimental examination was performed at solid volume fraction (SVF) s of 0.05, 0.1, 0.25, 0.5, 0.75, 1% and the temperature of 5–55 °C. A mathematical relationship was proposed to predict its viscosity using the RSM method in Design-Expert software. The viscosity of this nanofluid was also optimized concerning temperature, SVF, and shear rate (SR). A point with a specification of T = 54.45 (°C), SVF = 0.06%, and  SR = 11,899.24 (1/s) had an optimum viscosity of 39.0754 mPa s. Specification parameters of the ANN model were reported in this study as well. The results of the proposed mathematical correlation could not accurately predict, as well as the ANN and the predictions provided by ANN were more accurate.

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  1. Department of Mechanical Engineering, Imam Hossein University, Tehran, Iran

    Mohammad Hemmat Esfe & Mohammad Hassan Kamyab

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  1. Mohammad Hemmat Esfe
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  2. Mohammad Hassan Kamyab
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Correspondence to Mohammad Hassan Kamyab.

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Hemmat Esfe, M., Kamyab, M.H. Optimization of Viscosity in MWCNT-MgO (35–65%)/5W50 Nanofluid and Comparison of Experimental Results with the Designed ANN. Arab J Sci Eng 46, 827–840 (2021). https://doi.org/10.1007/s13369-020-05001-8

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