The Temperature Dependence of Viscosity for Water and Mercury

Kampmeyer, P. M.

doi:10.1063/1.1701986

Cited by 57 publications

(44 citation statements)

References 5 publications

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“…where r i is the ion radius, r K+ = 0.141 nm, and r Cl− = 0.141. 26 Furthermore, η(T ) is the water viscosity as a function of temperature and is given by 27 ηðTÞ ¼ T 1:5 Â 10…”

Section: Temperature Dependence Of Ionic Conductance Characteristicsmentioning

confidence: 99%

Thermal dependence of nanofluidic energy conversion by reverse electrodialysis

et al. 2017

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The thermal dependence of salinity-gradient-driven energy conversion by reverse electrodialysis using a mesoporous silica thin film with pores ca. 2-3 nm in diameter was studied in a temperature range of 293-333 K. As the temperature increases, the surface charge density of mesopores increases owing to an increase in the zeta potential of the pore walls, which in turn increases the concentration of counter-ions in the electrical double layer. The ion mobility also increases with increasing temperature owing to a decrease in the liquid viscosity. As a result, the temperature increase improves the ion conductance of mesopores both in the surface-charge-governed regime at low ion concentrations and in the bulk regime at high ion concentrations. However, further increases in temperature induce bubble nucleation. In particular, in highly concentrated salt solutions, hydrophobic patches appear on the pore surfaces because of the salting-out effect and mask the surface charge. The weakened polarity in mesopores allows more co-ions to enter them, decreasing the potential difference across the film, resulting in a serious deterioration of the energy conversion efficiency. The thermal dependence of the performance characteristics of mesoporous-silica-based nanofluidic devices was also evaluated.

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“…where r i is the ion radius, r K+ = 0.141 nm, and r Cl− = 0.141. 26 Furthermore, η(T ) is the water viscosity as a function of temperature and is given by 27 ηðTÞ ¼ T 1:5 Â 10…”

Section: Temperature Dependence Of Ionic Conductance Characteristicsmentioning

confidence: 99%

Thermal dependence of nanofluidic energy conversion by reverse electrodialysis

et al. 2017

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“…7 denotes the kinematic viscosity of the seawater, which is a function of temperature, T (in uC). The relationship between n and T can be expressed by the following equation (Kampmeyer 1952;Perry and Green 1984):…”

Section: Methodsmentioning

confidence: 99%

Intensive and extensive nitrogen loss from intertidal permeable sediments of the Wadden Sea

Gao

Matyka

Liu

et al. 2012

Limnology & Oceanography

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“…1, the enhancement ratio of conductivity with temperature. Temperature variation of conductivity was obtained using the Gaussian fit of the experimental data [22]. The scattered points correspond to experimental data on alumina [5].…”

Section: Resultsmentioning

confidence: 99%

Mechanism of heat transport in nanofluids

Prakash

Giannelis

2007

J Computer-Aided Mater Des

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We have calculated thermal conductivity of alumina nanofluids (with water and ethylene glycol as base fluids) using temperature as well as concentrationdependent viscosity, η. The temperature profile of η is obtained using Gaussian fit to the available experimental data. In the model, the interfacial resistance effects are incorporated through a phenomenological parameter α. The micro-convection of the alumina nanoparticle (diameter less than 100 nm) is included through Reynolds and Prandtl numbers. The model is further improved by explicitly incorporating the thermal conductivity of the nanolayer surrounding the nanoparticles. Using this improved model, thermal conductivity of copper nanofluid is calculated. These calculations capture the particle concentration-dependent thermal conductivity and predict the dependence of the thermal conductivity on the size of the nanoparticle. These studies are significant to understand the underlying processes of heat transport in nanofluids and are crucial to design superior coolants of next generation.

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The Temperature Dependence of Viscosity for Water and Mercury

Cited by 57 publications

References 5 publications

Thermal dependence of nanofluidic energy conversion by reverse electrodialysis

Thermal dependence of nanofluidic energy conversion by reverse electrodialysis

Intensive and extensive nitrogen loss from intertidal permeable sediments of the Wadden Sea

Mechanism of heat transport in nanofluids

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