Experimental investigations and theoretical determination of thermal conductivity and viscosity of Al2O3/water nanofluid

Chandrasekar, M.; Suresh, S.; Bose, A. Chandra

doi:10.1016/j.expthermflusci.2009.10.022

Cited by 680 publications

(235 citation statements)

References 26 publications

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“…Ding et al [45] also detected a rise in viscosity of nanofluids with the rise in CNT concentration. Chandrasekar et al [24] studied the viscosity of alumina-water nanofluids of 0.33-5 % volume fraction and made a statement in favor of this trend. Furthermore, Naina et al [46] examined the viscometric behavior of TiO 2 nanoparticles dispersed in pure water over a volumetric concentration range of 0.5-2.5 % and temperature of 10-40°C.…”

Section: Effect Of Volume Concentrationmentioning

confidence: 99%

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A brief review on viscosity of nanofluids

et al. 2014

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Since the past decade, rapid development in nanotechnology has produced several aspects for the scientists and technologists to look into. Nanofluid is one of the incredible outcomes of such advancement. Nanofluids (colloidal suspensions of metallic and nonmetallic nanoparticles in conventional base fluids) are best known for their remarkable change to enhanced heat transfer abilities. Earlier research work has already acutely focused on thermal conductivity of nanofluids. However, viscosity is another important property that needs the same attention due to its very crucial impact on heat transfer. Therefore, viscosity of nanofluids should be thoroughly investigated before use for practical heat transfer applications. In this contribution, a brief review on theoretical models is presented precisely. Furthermore, the effects of nanoparticles' shape and size, temperature, volume concentration, pH, etc. are organized together and reviewed.

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Section: Effect Of Volume Concentrationmentioning

confidence: 99%

“…Chandrasekhar et al [24] proposed a mathematical expression for viscosity measurement. The expression includes contributions of electromagnetic, mechanical, as well as geometrical effects.…”

Section: Theoretical Studiesmentioning

confidence: 99%

A brief review on viscosity of nanofluids

et al. 2014

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“…Chandrasekar et al [8] used microwave assisted technique to synthesise Al2O3 nanoparticles having an average particle size (APS) of 43 nm. They dispersed 0.33 to 5% volume fractions of the Al2O3 in deionized water (DI-water) and investigated their viscosity enhancement at room temperature.…”

Section: Nanofluid Is a Modified Heat Transfer Fluid Produced By Homomentioning

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.

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“…Fig. 9 Comparison with previously reported work and our proposed work on temperature-dependent nanofluid thermal conductivity ratio for alumina nanofluid (Maxwell 1954;Hamilton and Crosser 1962;Wang et al 2008;Beck et al 2009;Moghadassi et al 2010;Kleinstreuer and Feng 2011;Chon et al 2005;Li and Peterson 2006) Due to the particle volume concentration the dynamic viscosity of nanofluid has been increased and as temperature increases viscosity decreases, which is concluded by Nguyen et al (Nguyen et al 2008;Chandrasekar et al 2010). This process is the witness for the particle suspension beyond the critical temperature, which caused by the hysteresis phenomenon.…”

Section: Effective Viscosity Of Nanofluidmentioning

confidence: 57%

Temperature-dependent thermal conductivity and viscosity of synthesized α-alumina nanofluids

Shah

Ranjan

Davariya³

et al. 2017

Appl Nanosci

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In the present work, we focused on the thermal conductivity and viscosity of the synthesis as well as characterize metal oxide a-Al 2 O 3 nanoparticles suspended in distilled water:ethylene glycol (60:40) ratio based stable colloidal nanofluid. The band gap of the a-Al 2 O 3 with and without surfactant is 4.42 and 4.59 eV, respectively. The results show that nanoparticle with polyvinyl alcohol surfactant has smaller crystalline size (*23 nm) than without surfactant (*36 nm). The synthesized nanofluids have good stability after 15 days of synthesis which is characterized by zeta potential analyzer. Thermal conductivity and viscosity are measured for 0.1 and 0.5 wt% concentration of alumina for with and without surfactant. The concentration of particles and added surfactant are responsible for stable fluid, thermal conductivity enhancement, and viscosity of nanofluid with respect to temperature. Therefore, the novel combinations of characterized properties of a-Al 2 O 3 nanofluid has proved to be the best thermally stable heat transfer fluid compared to conventional cooling fluids.

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Experimental investigations and theoretical determination of thermal conductivity and viscosity of Al2O3/water nanofluid

Cited by 680 publications

References 26 publications

A brief review on viscosity of nanofluids

A brief review on viscosity of nanofluids

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

Temperature-dependent thermal conductivity and viscosity of synthesized α-alumina nanofluids

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