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Curve fitting on experimental data of a new hybrid nano-antifreeze viscosity: Presenting new correlations for non-Newtonian nanofluid

Author

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  • Irani, Mohammadhossein
  • Afrand, Masoud
  • Mehmandoust, Babak

Abstract

In this paper, the rheological behavior of a mixture of water and ethylene glycol containing a combination of multi-walled carbon nanotubes and aluminum oxide in a temperature range of 25 to 50 °C was investigated experimentally. Homogeneous and stable samples with different concentrations were made by suspending carbon nanotubes and aluminum dioxide in a 50–50 mixture of water and ethylene glycol using a two-step method. The viscosity of nanofluid samples at different shear rates was measured by the DV-I PRIME Brookfield digital viscometer, which uses a rotating cylinder method. The results showed that, despite the Newtonian behavior of the base fluid, all nanofluid samples showed a non-Newtonian behavior. It was also observed that non-Newtonian behavior of nanofluid follows the Power law model. Thus, using the curve fitting, the consistency index and the power law index were obtained. Moreover, mathematical correlations were proposed as a function of temperature and volume fraction for obtaining consistency index and the power-law index. Comparisons showed the accuracy of proposed correlations.

Suggested Citation

  • Irani, Mohammadhossein & Afrand, Masoud & Mehmandoust, Babak, 2019. "Curve fitting on experimental data of a new hybrid nano-antifreeze viscosity: Presenting new correlations for non-Newtonian nanofluid," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 531(C).
    • Handle: RePEc:eee:phsmap:v:531:y:2019:i:c:s0378437119304273
    DOI: 10.1016/j.physa.2019.04.073
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    Citations

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    Cited by:

    1. Xiaohong, Dai & Huajiang, Chen & Bagherzadeh, Seyed Amin & Shayan, Masoud & Akbari, Mohammad, 2020. "Statistical estimation the thermal conductivity of MWCNTs-SiO2/Water-EG nanofluid using the ridge regression method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    2. Tian, Zhe & Rostami, Sara & Taherialekouhi, Roozbeh & Karimipour, Arash & Moradikazerouni, Alireza & Yarmand, Hooman & Zulkifli, Nurin Wahidah Binti Mohd, 2020. "Prediction of rheological behavior of a new hybrid nanofluid consists of copper oxide and multi wall carbon nanotubes suspended in a mixture of water and ethylene glycol using curve-fitting on experim," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
    3. Sarafraz, M.M. & Tlili, I. & Tian, Zhe & Bakouri, Mohsen & Safaei, Mohammad Reza, 2019. "Smart optimization of a thermosyphon heat pipe for an evacuated tube solar collector using response surface methodology (RSM)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    4. Moghadam, Iman Panahi & Afrand, Masoud & Hamad, Samir M. & Barzinjy, Azeez A. & Talebizadehsardari, Pouyan, 2020. "Curve-fitting on experimental data for predicting the thermal-conductivity of a new generated hybrid nanofluid of graphene oxide-titanium oxide/water," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 548(C).

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