2010
DOI: 10.1615/heattransres.v41.i3.100
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Experimental Study on Thermal Conductivity and Viscosity of Water-Based Nanofluids

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Cited by 24 publications
(4 citation statements)
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“…Desired weight concentration of silica-water and aluminium oxide nanofluids were prepared by mixing appropriate quantities of nanoparticles with the base fluid and were sonicated by an ultrasonic bath for at least 30 minutes. [40] All nonfluids were stable for a long time and the experimental tests were done without any visible settlement. The bubble should be visible in the nanofluid, so the nanofluids were prepared at low concentrations.…”
Section: Methodsmentioning
confidence: 99%
“…Desired weight concentration of silica-water and aluminium oxide nanofluids were prepared by mixing appropriate quantities of nanoparticles with the base fluid and were sonicated by an ultrasonic bath for at least 30 minutes. [40] All nonfluids were stable for a long time and the experimental tests were done without any visible settlement. The bubble should be visible in the nanofluid, so the nanofluids were prepared at low concentrations.…”
Section: Methodsmentioning
confidence: 99%
“…Figure 11 shows these results for the decrease in particle size as a function of sonication time. Tavman et al [62] observed that the thermal conductivity of TiO 2 nanofluids was increased by increasing the concentration of the nanoparticles in the base fluid. They prepared three samples of TiO 2 nanofluids by dispersing the nanoparticles with concentrations of 0.2, 1.0, 2.0 vol.…”
Section: Ultrasonication Methodsmentioning
confidence: 99%
“…Most studies performed about nanofluids have pointed out a noticeable increase of their thermal conductivity compared to conventional fluids [46]. This feature results in higher heat transfer coefficients [47] enabling the use of less coolant flows [48].…”
Section: Thermal Management In Icesmentioning
confidence: 99%
“…46 presents the terminal voltage of the cylindrical cell (N1) and its surface temperature during the cycle. It can be observed that the model accurately predicts the voltage and temperature of the cell.…”
mentioning
confidence: 99%