Heat Transfer Properties of Nanodiamond–Engine Oil Nanofluid in Laminar Flow

Ghazvini, Mahyar; Akhavan-Behabadi, M.A.; Rasouli, Erfan; Raisee, Mehrdad

doi:10.1080/01457632.2012.624858

Cited by 89 publications

(25 citation statements)

References 16 publications

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“…9 (a). Trends having similar characteristics have been reported in the past on other types of nanofluid [31,32]. Having nanoparticles suspended in the base fluid leads to shear resistance of the nanoparticles on the base fluid layers, and increasing the volume concentration gives a corresponding increase in the shear resistance which is relative to the viscosity of the nanofluid.…”

Section: Influence Of Volume Fraction and Size Of Mgo Nanoparticlessupporting

confidence: 56%

Experimental investigation and model development for effective viscosity of MgO–ethylene glycol nanofluids by using dimensional analysis, FCM-ANFIS and GA-PNN techniques

Adio

Mehrabi

Sharifpur

et al. 2016

International Communications in Heat and Mass Transfer

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Desirable effective viscosity behaviour is an essential transport property required for the effective utilisation of nanofluids in industrial systems as well as other applications. Viscosity influences significantly the pumping power and heat transfer effectiveness in a thermal system since Reynolds and Prandtl numbers are functions of viscosity. In this study, the optimum energy required for the preparation of MgO-ethylene glycol (MgO-EG) nanofluids was determined by varying the ultrasonication energy input into the preparation process. The uniformly dispersed nanofluids were characterised and the viscosity measurements were carried out as a function of temperature (20 to Therefore, new correlation is proposed using the method of dimensional analysis and considering essential factors, including nanoparticle size, volume fraction temperature, capping layer thickness, viscosity of the base fluid, the density of base fluid and the density of nanofluid as input parameters.Furthermore, genetic algorithm-polynomial neural network (GA-PNN) and fuzzy C-means clusteringbased adaptive neuro-fuzzy inference system (FCM-ANFIS) was used to model the effective viscosity of the MgO-EG nanofluids considering the parameters mentioned above. The results of all the modelling techniques showed good agreement with the experimental data.

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Section: Influence Of Volume Fraction and Size Of Mgo Nanoparticlessupporting

confidence: 56%

Experimental investigation and model development for effective viscosity of MgO–ethylene glycol nanofluids by using dimensional analysis, FCM-ANFIS and GA-PNN techniques

Adio

Mehrabi

Sharifpur

et al. 2016

International Communications in Heat and Mass Transfer

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“…It is a known fact that conventional heat transfer fluids are characteristically poor in thermal properties [8,9]. Moreover, several studies [10][11][12][13] have shown that the addition of nanoparticles to these conventional heat transfer fluids increases their thermal conductivity, heat capacity, electrical conductivity and convective heat transfer coefficient when used in flow equipment. Although, the underlying factors are controversial and still a subject of investigation.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation and model development for effective viscosity of Al2O3–glycerol nanofluids by using dimensional analysis and GMDH-NN methods

Sharifpur

Adio

Meyer

2015

International Communications in Heat and Mass Transfer

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Nanofluids are new heat transfer fluids which aimed to improve the poor heat removal efficiency of conventional heat transfer fluids. The dispersion of nanoparticles into traditional heat transfer fluids such as ethylene glycol, glycerol, engine oil, gear oil and water has become widely applicable in engineering systems because of their superior heat transfer properties. However, viscosity increase due to nanoparticle dispersion is an issue which needs attention and proper experimental investigation. Therefore, in this study, it is experimentally optimized the two-step preparation procedure for Al 2 O 3 -glycerol nanofluids consisting of 19, 139 and 160 nm particle sizes, and then studied the effective viscosity between 20-70 o C for the range of 0 to 5% volume fractions. The nanofluids' viscosity showed a characteristic increase as volume fraction increases; decrease as the working temperature increases; and the smallest nanoparticles showed the highest shear resistance. Based on the available experimental data, an empirical correlation has been offered using dimensional analysis. Thereafter, a hybrid neural network based on the group method of data handling (GMDH-NN) has been employed for modeling the effective viscosity of Al 2 O 3 -glycerol nanofluid. The correlations obtained from both modeling procedures showed higher accuracy in the prediction of the present experimental data when compared to most cited models from the open literature.

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“…Model I and II, respectively, based on nanofluid volume fraction, φ. DCS is the most commonly used technique for measuring specific heats [17]. Ghazvini et al [18] presented a correlation of specific heat of nanofluids with a 1 % w/w fraction of ND in engine oil as a function of temperature. Model I was used for the estimation of nanofluid specific heat for aqueous ND dispersions [9].…”

Section: Resultsmentioning

confidence: 99%

Nanodiamond aqueous dispersions as potential nanofluids: the determination of properties by thermal lensing and other techniques

Usoltseva¹,

Volkov²,

Авраменко³

et al. 2018

Nanosystems: Phys. Chem. Math.

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Thermal-lens spectrometry was used to characterize thermal diffusivity and thermal conductivity of aqueous nanodiamond dispersions at the level of mg/mL, accompanied by heat capacity, density, and viscosity measurements and modelling. The data from thermal lensing corresponding to thermal equilibrium show 3 -7 % increase in thermal conductivity of the studied dispersions, show good precision and agree with the existing data.

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Heat Transfer Properties of Nanodiamond–Engine Oil Nanofluid in Laminar Flow

Cited by 89 publications

References 16 publications

Experimental investigation and model development for effective viscosity of MgO–ethylene glycol nanofluids by using dimensional analysis, FCM-ANFIS and GA-PNN techniques

Experimental investigation and model development for effective viscosity of MgO–ethylene glycol nanofluids by using dimensional analysis, FCM-ANFIS and GA-PNN techniques

Experimental investigation and model development for effective viscosity of Al2O3–glycerol nanofluids by using dimensional analysis and GMDH-NN methods

Nanodiamond aqueous dispersions as potential nanofluids: the determination of properties by thermal lensing and other techniques

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