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Enhancing thermal conductivity of fluids with nano-particles

01 Jan 1995-Vol. 231, pp 99-105
About: The article was published on 1995-01-01 and is currently open access. It has received 7263 citations till now. The article focuses on the topics: Thermal conductivity & Nanoparticle.
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Journal ArticleDOI
TL;DR: In this article, a hybrid of silica nanosphere/multiwall carbon nanotube (MWCNT) has been synthesized by wet chemical method at room temperature and the effect of MWCNTs, silica nanoparticles, and hybrid nanostructures (80% silica nano-nosphere/20% carbon-nanotube and 50% of the mixture of nanospheres/50% mwCNTs) on the thermal conductivity of distilled water has been investigated.

185 citations

Journal ArticleDOI
TL;DR: In this article, the numerical solution of steady natural convection boundary-layer flow of a nanofluid consisting of a pure fluid with nanoparticles along a permeable vertical plate in the presence of magnetic field, heat generation or absorption, and suction or injection effects is focused.
Abstract: This work is focused on the numerical solution of steady natural convection boundary-layer flow of a nanofluid consisting of a pure fluid with nanoparticles along a permeable vertical plate in the presence of magnetic field, heat generation or absorption, and suction or injection effects The model used for the nanofluid incorporates the effects of Brownian motion and thermophoresis The governing boundary-layer equations of the problem are formulated and transformed into a non-similar form The obtained equations are then solved numerically by an efficient, iterative, tri-diagonal, implicit finite-difference method Comparisons with previously published work are performed and are found to be in excellent agreement Representative results for the longitudinal velocity, temperature, and nanoparticle volume fraction profiles as well as the local heat transfer rates for various values of the physical parameters are displayed in both graphical and tabular forms

185 citations


Cites methods from "Enhancing thermal conductivity of f..."

  • ...A nanofluid is a term initially used by Choi (1995) and refers to a base liquid with suspended solid nanoparticles....

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Journal ArticleDOI
TL;DR: Prospective methods for future simulation of refrigeration systems, such as noise-field simulation, simulation with knowledge engineering methodology and calculation methods for nanofluid properties, are introduced briefly.
Abstract: Simulation has been widely used for performance prediction and optimum design of refrigeration systems. A brief review on history of simulation for vapour-compression refrigeration systems is done. The models for evaporator, condenser, compressor, capillary tube and envelop structure are summarized. Some developing simulation techniques, including implicit regression and explicit calculation method for refrigerant thermodynamic properties, model-based intelligent simulation methodology and graph-theory based simulation method, are presented. Prospective methods for future simulation of refrigeration systems, such as noise-field simulation, simulation with knowledge engineering methodology and calculation methods for nanofluid properties, are introduced briefly.

185 citations

Journal ArticleDOI
TL;DR: In this paper, the effect of temperature on hydrodynamic size distribution and zeta potential during heating and cooling cycle has been investigated to elucidate its role on dispersion characteristics.

184 citations

Journal ArticleDOI
TL;DR: In this paper, the authors measured the thermal conductivity of very narrow Al2O3 nanoparticles with the size of 5nm suspended in water in a temperature range between 26 and 55°C.
Abstract: A considerable number of studies can be found on the thermal conductivity of nanofluids in which Al2O3 nanoparticles are used as additives. In the present study, the aim is to measure the thermal conductivity of very narrow Al2O3 nanoparticles with the size of 5 nm suspended in water. The thermal conductivity of nanofluids with concentrations up to 5 % is measured in a temperature range between 26 and 55 °C. Using the experimental data, a correlation is presented as a function of the temperature and volume fraction of nanoparticles. Finally, a sensitivity analysis is performed to assess the sensitivity of thermal conductivity of nanofluids to increase the particle loading at different temperatures. The sensitivity analysis reveals that at a given concentration, the sensitivity of thermal conductivity to particle loading increases when the temperature increases.

184 citations