Low viscous ZnO–propylene glycol nanofluid: a potential coolant candidate

Suganthi, K.S.; Anusha, N.; Rajan, K.S.

doi:10.1007/s11051-013-1986-6

Cited by 63 publications

(29 citation statements)

References 41 publications

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“…Proper dispersion is very essential to achieving a satisfactory stability and reduced viscosity in the nanofluids. Applying proper ultrasonication to the dispersion process have been shown to reduce the size of aggregates that are usually formed, increase the thermal conductivity and reduce the viscosity of nanofluids [28][29][30]. Presented in Fig.…”

Section: Influence Of Ultrasonication Energy Densitymentioning

confidence: 99%

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.

show abstract

Section: Influence Of Ultrasonication Energy Densitymentioning

confidence: 99%

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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show abstract

“…ZnO-propylene glycol-water nanofluids with ZnO-water interaction as the predominant interaction possess higher viscosity and poor colloidal stability [16], due to aggregation of ZnO nanoparticles in the absence of surfactant. ZnO nanoparticles interact with propylene glycol leading to formation of interfacial hydrogen bonds with propylene glycol molecules and perturbation of the native hydrogen bonding network of propylene glycol [20]. A quantitative estimation of strength of hydrogen bonds in pure propylene glycol and ZnO-PG dispersions showed that the dispersion of ZnO nanoparticles in propylene glycol weakened the hydrogen bonding network of propylene glycol with degree of hydrogen bonding perturbation increasing with increasing ZnO concentration [20].…”

Section: Resultsmentioning

confidence: 99%

“…Nanoparticles-induced perturbation in the hydrogen bonds of strongly hydrogen bonded liquids causes reduction in viscosity [8,20,[24][25][26][27][28]. Hence ZnO-propylene glycol interactions are more favorable than ZnO-water interactions.…”

Section: Resultsmentioning

confidence: 99%

“…The viscosity of ZnO-PG-water nanofluids decreased with increasing ZnO concentration (Fig. 2) due to the rearrangement of hydrogen bonding network of propylene glycol [16,20]. Hence, ZnO nanoparticle addition to PG-water mixture (base fluid) has modulated its transport properties in a way that contributed to the enhancement of natural convection and conduction heat transfer in ZnO-PG-water nanofluids.…”

Section: Heat Transfer Performance Of Zno-pg-water Nanofluids Under Cmentioning

confidence: 98%

“…Ultrasonication time was calculated using optimum ultrasonication energy, which has been determined in our earlier work [20]. …”

Section: Nanofluid Formulation and Characterizationmentioning

confidence: 99%

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Preparation and Thermophysical Investigations of CoFe2O4-based Nanofluid: a Potential Heat Transfer Agent

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Low viscous ZnO–propylene glycol nanofluid: a potential coolant candidate

Cited by 63 publications

References 41 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

ZnO⿿propylene glycol⿿water nanofluids with improved properties for potential applications in renewable energy and thermal management

Preparation and Thermophysical Investigations of CoFe2O4-based Nanofluid: a Potential Heat Transfer Agent

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