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Statistical investigation for developing a new model for rheological behavior of Silica–ethylene glycol/Water hybrid Newtonian nanofluid using experimental data

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  • Ruhani, Behrooz
  • Barnoon, Pouya
  • Toghraie, Davood

Abstract

In this experimental investigation, we developed a new model for rheological behavior of Silica–Ethylene glycol/Water (30: 70 vol. %) hybrid Newtonian nanofluid. The tests were carried out in volume fractions of 0.1%, 0.25%, 0.5%, 0.75%, and 1.5%, the temperature range from 25 °C to 50 °C, and in the shear rate range 24.48 s−1 to 73.44 s−1. It can be deduced that the obtained correlation is a suitable model for estimating the desired nanofluid viscosity. Also, as the volume fraction increases, the relative viscosity increases due to the greater dispersion of the nanoparticles in the base fluid. The maximum marginal deviation values in this graph are shown to be equal to 1.37%. This value is acceptable for an experimental correlation. We find that the relationship between shear stress and shear rate is linear; then the desired fluid is Newtonian. At the maximum volume fraction, the percentage of loss of viscosity from the minimum temperature to the maximum temperature is 89%. In addition, at maximum operating temperature, the percentage increase in relative viscosity in the maximum volume fraction relative to the minimum fraction is 48%.

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  • Ruhani, Behrooz & Barnoon, Pouya & Toghraie, Davood, 2019. "Statistical investigation for developing a new model for rheological behavior of Silica–ethylene glycol/Water hybrid Newtonian nanofluid using experimental data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 616-627.
    • Handle: RePEc:eee:phsmap:v:525:y:2019:i:c:p:616-627
    DOI: 10.1016/j.physa.2019.03.119
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    1. Karimipour, Arash & Hemmat Esfe, Mohammad & Safaei, Mohammad Reza & Toghraie Semiromi, Davood & Jafari, Saeed & Kazi, S.N., 2014. "Mixed convection of copper–water nanofluid in a shallow inclined lid driven cavity using the lattice Boltzmann method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 402(C), pages 150-168.
    2. Hemmat Esfe, Mohammad & Reiszadeh, Mahdi & Esfandeh, Saeed & Afrand, Masoud, 2018. "Optimization of MWCNTs (10%) – Al2O3 (90%)/5W50 nanofluid viscosity using experimental data and artificial neural network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 731-744.
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