Journal ArticleDOI
Influence of T-semi attached rib on turbulent flow and heat transfer parameters of a silver-water nanofluid with different volume fractions in a three-dimensional trapezoidal microchannel
Habibollah Alipour,Arash Karimipour,Mohammad Reza Safaei,Davood Toghraie Semiromi,Omid Ali Akbari +4 more
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In this paper, the influence of T-semi attached rib on the turbulent flow and heat transfer parameters of a silver-water nanofluid with different volume fractions in a three-dimensional trapezoidal microchannel was explored.Abstract:
This study aimed at exploring influence of T-semi attached rib on the turbulent flow and heat transfer parameters of a silver-water nanofluid with different volume fractions in a three-dimensional trapezoidal microchannel. For this purpose, convection heat transfer of the silver-water nanofluid in a ribbed microchannel was numerically studied under a constant heat flux on upper and lower walls as well as isolated side walls. Calculations were done for a range of Reynolds numbers between 10,000 and 16,000, and in four different sorts of serrations with proportion of rib width to hole of serration width (R/W). The results of this research are presented as the coefficient of friction, Nusselt number, heat transfer coefficient and thermal efficiency, four different R/W microchannels. The results of numerical modeling showed that the fluid's convection heat transfer coefficient is increased as the Reynolds number and volume fraction of solid nanoparticle are increased. For R/W=0.5, it was also maximum for all the volume fractions of nanoparticle and different Reynolds numbers in comparison to other similar R/W situations. That's while friction coefficient, pressure drop and pumping power is maximum for serration with R/W=0 compared to other serration ratios which lead to decreased fluid-heat transfer performance.read more
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Effect of radiation on laminar natural convection of nanofluid in a vertical channel with single- and two-phase approaches
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Prediction of rheological behavior of SiO2-MWCNTs/10W40 hybrid nanolubricant by designing neural network
TL;DR: In this paper, a neural network was designed to predict the relative viscosity of hybrid nanolubricant, and the neural network function was used to estimate the data with excellent precision as R2 value was 0.9948.
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The effect of semi-attached and offset mid-truncated ribs and Water/TiO2 nanofluid on flow and heat transfer properties in a triangular microchannel
TL;DR: In this paper, the effect of dimensions of a new design of ribs on heat transfer parameters and laminar flow of the nanofluid Water-TiO 2 has been investigated.
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Efficiency assessment of using graphene nanoplatelets-silver/water nanofluids in microchannel heat sinks with different cross-sections for electronics cooling
TL;DR: In this paper, the effects of temperature, microchannel cross-section shape, volume concentration of nanoparticles and Reynolds number on thermal and hydraulics behavior of the nanofluid were investigated in terms of velocity, Nusselt number, pressure drop, friction loss and pumping power.
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Numerical investigation of turbulent flow and heat transfer of nanofluid inside a wavy microchannel with different wavelengths
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References
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Numerical heat transfer and fluid flow
TL;DR: In this article, the authors focus on heat and mass transfer, fluid flow, chemical reaction, and other related processes that occur in engineering equipment, the natural environment, and living organisms.
Journal ArticleDOI
Two-equation eddy-viscosity turbulence models for engineering applications
TL;DR: In this paper, two new two-equation eddy-viscosity turbulence models are presented, which combine different elements of existing models that are considered superior to their alternatives.
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Hydrodynamic and heat transfer study of dispersed fluids with submicron metallic oxide particles
Bock Choon Pak,Young I. Cho +1 more
TL;DR: In this article, the authors used a Brookfield rotating viscometer to measure the viscosities of the dispersed fluids with γ-alumina (Al2O3) and titanium dioxide (TiO2) particles at a 10% volume concentration.
Journal ArticleDOI
Alteration of thermal conductivity and viscosity of liquid by dispersing ultra-fine particles. dispersion of al2o3, sio2 and tio2 ultra-fine particles
TL;DR: In this paper, the authors proposed a new algorithm called Al2O3, which is based on the SiO2-2-SiO3 algorithm, and showed that it is more efficient than SiO3 and TiO2.