Abstract
In this study, the MWCNT-MgO (25–75%)/10W40 hybrid nano-lubricant was prepared via a two-step method and was experimentally investigated in the solid volume fraction (SVF) range of 0–1%, the temperature (T) range of 5–55 °C, and the shear rate (SR) range of 6665–11,997 s−1. MWCNT and MgO nanoparticles (NPs) with a volume ratio of 25–75 were used to provide the NPs, and experiments were conducted at 6 Ts in the range of 5–55 °C. The results indicated that viscosity (VI) of nano-lubricant increases and decreases, respectively, with increasing SVF and temperature (T), in a way that the maximum VI drops (− 5%) were observed at 15 and 25 °C, and at 0.05% SVF. Likewise, the highest VI increase (+ 26%) was observed at 45 °C and SVF of 1%. It was observed that the VI of the nano-lubricant at SVF of 1% and in the studied T range, with a mean of 16.13%, was higher than the VI of pure oil. The effect of NPs presence on VI was lower than that of the base fluid (BF) at lower Ts, as, at a T of 15 °C, the VI of this hybrid nano-lubricant increased by 20.3% and at 55 °C increased by 16%.
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Abbreviations
- m:
-
Consistency index
- N:
-
Number of experiments
- S:
-
Standard deviation
- n:
-
Power law index
- T:
-
Temperature
- U:
-
Uncertainty
- w:
-
Weight
- \(\overline X\) :
-
Average measured value
- X i :
-
Measured value
- Exp.:
-
Experimental
- Max:
-
Maximum
- MgO:
-
Magnesium Oxide
- Min:
-
Minimum
- MWCNT:
-
Multiwall carbon nanotube
- NF:
-
Nanofluid
- NP:
-
Nanoparticle
- SSA:
-
Specific surface area (total surface area of a material per unit of mass)
- SVF:
-
Solid volume fraction
- TEM:
-
Transmission electron microscopy
- XRD:
-
X-ray diffraction
- φ :
-
Solid volume fraction
- \(\dot{\gamma }\) :
-
Shear rate
- μ :
-
Viscosity
- μ r :
-
Relative viscosity
- ρ :
-
Density
- τ :
-
Shear stress
- bf:
-
Base fluid
- nf:
-
Nanofluid
- r:
-
Relative
References
G.M. Moldoveanu, C. Ibanescu, M. Danu, A.A. Minea, Viscosity estimation of Al2O3, SiO2 nanofluids and their hybrid: an experimental study. J. Mol. Liq. 253, 188–196 (2018)
A.A. Nadooshan, M.H. Esfe, M. Afrand, Prediction of Rheological behavior of SiO2-MWCNTs/10W40 hybrid nanolubricant by designing neural network. J. Thermal Anal. Calorim. 131(3), 2741–2748 (2018)
M.H. Esfe, S. Saedodin, M. Biglari, H. Rostamian, Experimental investigation of thermal conductivity of CNTs-Al2O3/water: a statistical approach. Int. Commun. Heat Mass Trans. 69, 29–33 (2015)
M.H. Esfe, S.M. Motallebi, M. Bahiraei, Employing response surface methodology and neural network to accurately model thermal conductivity of TiO2–water nanofluid using experimental data. Chin. J. Phys. 70, 14–25 (2021)
S.U.S. Chol, Enhancing thermal conductivity of fluids with nanoparticles. ASME-Publications-Fed 231, 99–106 (1995)
M.H. Esfe, S. Wongwises, A. Naderi, A. Asadi, M.R. Safaei, H. Rostamian, M. Dahari, A. Karimipour, Thermal conductivity of Cu/TiO2–water/EG hybrid nanofluid: Experimental data and modeling using artificial neural network and correlation. Int. Commun. Heat Mass Trans 66, 100–104 (2015)
M.H. Esfe, A.A.A. Arani, M. Rezaie, W.M. Yan, A. Karimipour, Experimental determination of Thermal conductivity and dynamic viscosity of Ag–MgO/water hybrid nanofluid. Int. Commun. Heat Mass Trans. 66, 189–195 (2015)
M.H. Esfe, W.M. Yan, M. Akbari, A. Karimipour, M. Hassani, Experimental study on Thermal conductivity of DWCNT-ZnO/water-EG nanofluids. Int. Commun. Heat Mass Trans. 68, 248–251 (2015)
M.H. Esfe, S.M. Motallebi, Optimization, modeling, and prediction of relative viscosity and relative thermal conductivity of AlN nano-powders suspended in EG. Eur. Phys. J. Plus 136(1), 1–19 (2021)
M.H. Esfe, E. Hosseinizadeh, S. Esfandeh, Flooding numerical simulation of heterogeneous oil reservoir using different nanoscale colloidal solutions. J. Molec. Liquids 302, 111972 (2020)
M.H. Esfe, S. Esfandeh, 3D numerical simulation of the enhanced oil recovery process using nanoscale colloidal solution flooding. J. Molec. Liquids 301, 112094 (2020)
M.H. Esfe, S. Esfandeh, E. Hosseinizadeh, Nanofluid flooding for enhanced oil recovery in a heterogeneous two-dimensional anticline geometry. Int. Commun. Heat Mass Trans. 118, 104810 (2020)
M.H. Esfe, S. Esfandeh, Nanofluid flooding in a randomized heterogeneous porous media and investigating the effect of capillary pressure and diffusion on oil recovery factor. J. Molec. Liquids, p. 113646 (2020)
M.H. Esfe, S.M. Motallebi, Optimization and modeling of thermal conductivity and viscosity of Cu/engine oil nanofluids by NSGA‐II using RSM. Math. Methods Appl. Sci. (2020)
M. Hatami, G. Domairry, S.N. Mirzababaei, Experimental investigation of preparing and using the H2O based nanofluids in the heating process of HVAC system model. Int. J. Hydrogen Energy 42(12), 7820–7825 (2017)
G.R. Ansarifar, M. Ebrahimian, Design and neutronic investigation of the nano fluids application to VVER-1000 nuclear reactor with dual cooled annular fuel. Ann. Nucl. Energy 87, 39–47 (2016)
Z. Said, M.H. Sajid, M.A. Alim, R. Saidur, N.A. Rahim, Experimental investigation of the thermophysical properties of Al2O3-nanofluid and its effect on a flat plate solar collector. Int. Commun. Heat Mass Transf. 48, 99–107 (2013)
M. Hemmat Esfe, Designing a neural network for predicting the heat transfer and pressure drop characteristics of Ag/water nanofluids in a heat exchanger. Appl. Therm. Eng. 126, 559–565 (2017)
M. Hemmat Esfe, S. Esfandeh, S. Saedodin, H. Rostamian, Experimental evaluation, sensitivity analyzation and ANN modeling of thermal conductivity of ZnO-MWCNT/EG-water hybrid nanofluid for engineering applications. Appl. Therm. Eng. 125, 673–685 (2017)
I. Wole-Osho, E.C. Okonkwo, D. Kavaz, S. Abbasoglu, An experimental investigation into the effect of particle mixture ratio on specific heat capacity and dynamic viscosity of Al2O3–ZnO hybrid nanofluids. Powder Technol. 363, 699–716 (2020)
G. Huminic, A. Huminic, C. Fleacă, F. Dumitrache, I. Morjan, Experimental study on viscosity of water based Fe–Si hybrid nanofluids. J. Mol. Liq. 321, 114938 (2021)
M.H. Esfe, S.H. Rostamian, Rheological behavior characteristics of MWCNT-TiO2/EG (40–60%) hybrid nanofluid affected by temperature, concentration, and shear rate: an experimental and statistical study and a neural network simulating. Physica A 553, 124061 (2020)
W. Urmi, M.M. Rahman, W.A.W. Hamzah, An experimental investigation on the thermophysical properties of 40% ethylene glycol based TiO2–Al2O3 hybrid nanofluids. Int. Commun. Heat Mass Transf. 116, 104663 (2020)
A. Asadi, I.M. Alarifi, L.K. Foong, An experimental study on characterization, stability and dynamic viscosity of CuO-TiO2/water hybrid nanofluid. J. Mol. Liq. 307, 112987 (2020)
A. Barati-Harooni, A. Najafi-Marghmaleki, A. Mohebbi, A.H. Mohammadi, On the estimation of viscosities of Newtonian nanofluids. J. Mol. Liq. 241, 1079–1090 (2017)
M. Hemmat Esfe, F. Zabihi, H. Rostamian, S. Esfandeh, Experimental investigation and model development of the non-Newtonian behavior of CuO-MWCNT-10w40 hybrid nano-lubricant for lubrication purposes. J. Mol. Liq. 249, 677–687 (2018)
S. Aberoumand, A. Jafarimoghaddam, M. Moravej, H. Aberoumand, K. Javaherdeh, Experimental study on the rheological behavior of silver-heat transfer oil nanofluid and suggesting two empirical based correlations for thermal conductivity and viscosity of oil based nanofluids. Appl. Therm. Eng. 101, 362–372 (2016)
M. Asadi, A. Asadi, Dynamic viscosity of MWCNT/ZnO–engine oil hybrid nanofluid: an experimental investigation and new correlation in different temperatures and solid concentrations. Int. Commun. Heat Mass Transf. 76, 41–45 (2016)
M. Hemmat Esfe, S. Saedodin, M. Rejvani, J. Shahram, Experimental investigation, model development and sensitivity analysis of rheological behavior of ZnO/10W40 nano-lubricants for automotive applications. Physica E 90, 194–203 (2017)
A. Aghaei, H. Khorasanizadeh, G.A. Sheikhzadeh, Measurement of the dynamic viscosity of hybrid engine oil-Cuo-MWCNT nanofluid, development of a practical viscosity correlation and utilizing the artificial neural network. Heat Mass Transf. 54(1), 151–161 (2018)
M. Hemmat Esfe, H. Rostamian, M.R. Sarlak, M. Rejvani, A. Alirezaie, Rheological behavior characteristics of TiO2-MWCNT/10W40 hybrid nano-oil affected by temperature, concentration and shear rate: an experimental study and a neural network simulating. Physica E 94, 231–240 (2017)
M. Hemmat Esfe, M.R. Sarlak, Experimental investigation of switchable behavior of CuO-MWCNT (85–15%)/10W-40 hybrid nano-lubricants for applications in internal combustion engines. J. Mol. Liq. 242, 326–335 (2017)
A. Asadi, M. Asadi, M. Rezaei, M. Siahmargoi, F. Asadi, The effect of temperature and solid concentration on dynamic viscosity of MWCNT/MgO (20–80)–SAE50 hybrid nano-lubricant and proposing a new correlation: an experimental study. Int. Commun. Heat Mass Transf. 78, 48–53 (2016)
A. Aghaei, H. Khorasanizadeh, G.A. Sheikhzadeh, Experimental measurement of the dynamic viscosity of hybrid engine oil-Cuo-MWCNT nanofluid and development of a practical viscosity correlation. Modares Mech. Eng. 16(12), 518–524 (2017)
A. Alirezaie, S. Saedodin, M.H. Esfe, S.H. Rostamian, Investigation of rheological behavior of MWCNT (COOH-functionalized)/MgO-engine oil hybrid nanofluids and modelling the results with artificial neural networks. J. Mol. Liq. 241, 173–181 (2017)
J.W. Goodwin, R.W. Hughes, Rheology for Chemists: An Introduction (Royal Society of Chemistry, London, 2008).
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Hemmat Esfe, M., Goodarzi, M. & Esfandeh, S. Experimental investigation of thermo-physical properties of MgO-MWCNT (75–25%)/10W40 as a new nano-lubricant. Eur. Phys. J. Plus 136, 605 (2021). https://doi.org/10.1140/epjp/s13360-021-01414-y
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DOI: https://doi.org/10.1140/epjp/s13360-021-01414-y