Developing a novel form of thermal conductivity of nanofluids with Brownian motion effect by means of fractal geometry

Xiao, Boqi; Yang, Yi; Chen, Lingxia

doi:10.1016/j.powtec.2013.02.029

Cited by 120 publications

(48 citation statements)

References 58 publications

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“…The possible reason for this reduction is that, at high volume concentrations, the movement of CuO nanoparticles in water is more compared to low volume concentrations. The thermal conductivity and heat transfer coefficient of nanofluids depend on the Brownian motion of nanoparticles and the average size of nanoparticles [27]. This might have led to lower exhaust gas temperature at 0.2%.…”

Section: Egt Varied From 460mentioning

confidence: 99%

Effects of Specific Fuel Consumption and Exhaust Emissions of Four Stroke Diesel Engine with CuO/Water Nanofluid as Coolant

Senthilraja

Vijayakumar²,

Gangadevi

2017

Archive of Mechanical Engineering

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This article reports the effects of CuO/water based coolant on specific fuel consumption and exhaust emissions of four stroke single cylinder diesel engine. The CuO nanoparticles of 27 nm were used to prepare the nanofluid-based engine coolant. Three different volume concentrations (i.e 0.05%, 0.1%, and 0.2%) of CuO/water nanofluids were prepared by using two-step method. The purpose of this study is to investigate the exhaust emissions (NO x ), exhaust gas temperature and specific fuel consumption under different load conditions with CuO/water nanofluid. After a series of experiments, it was observed that the CuO/water nanofluids, even at low volume concentrations, have a significant influence on exhaust emissions. The experimental results revealed that, at full load condition, the specific fuel consumption was reduced by 8.6%, 15.1% and 21.1% for the addition of 0.05%, 0.1% and 0.2% CuO nanoparticles with water, respectively. Also, the emission tests were concluded that 881 ppm, 853 ppm and 833 ppm of NO x emissions were observed at high load with 0.05%, 0.1% and 0.2% volume concentrations of CuO/water nanofluids, respectively. W sp -Weight of solid particles (kg) W w -Weight of water (kg) ρ sp -Density of solid particle (kg/m 3 ) ρ w -Density of water (kg/m 3 )

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Section: Egt Varied From 460mentioning

confidence: 99%

Effects of Specific Fuel Consumption and Exhaust Emissions of Four Stroke Diesel Engine with CuO/Water Nanofluid as Coolant

Senthilraja

Vijayakumar²,

Gangadevi

2017

Archive of Mechanical Engineering

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“…Xiao et al [50] developed an analytical expression for effective thermal conductivity of nanofluids by considering the effect of heat convection between nanoparticles and liquids due to the Brownian motion of nanoparticles in fluids. The correlation of effective thermal conductivity of nanofluids was given by taking into account the fractal distribution of nanoparticles.…”

Section: ( )mentioning

confidence: 99%

A Review of Thermal Conductivity Models for Nanofluids

Aybar

Sharifpur

Azizian

et al. 2015

Heat Transfer Engineering

198

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“…In this subsection, we consider another mechanism, namely the Brownian motion of nanoparticles, this effect finds its origin in the stochastic bombardment of the liquid host molecules and results in micro convections at the nano scale and whence, enhancement of thermal interactions between the nanoparticles and the ambient fluid [21][22][23]37]. The contribution to the effective heat conductivity may be expressed as an additional term given by Jang and Choi [23]:…”

Section: Brownian Motionmentioning

confidence: 99%

“…There has been recently much attention paid to some particular heat transfer mechanisms in nanofluids, such as formation of a nano-liquid-layer around the nanoparticles (liquid layering) [13][14][15][16], particles clustering [17][18][19][20] and Brownian motion of particles [21][22][23].…”

Section: Introductionmentioning

confidence: 99%

The role of several heat transfer mechanisms on the enhancement of thermal conductivity in nanofluids

Machrafi

Lebon

2016

Continuum Mech. Thermodyn.

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A modelling of the thermal conductivity of nanofluids based on extended irreversible thermodynamics is proposed with emphasis on the role of several coupled heat transfer mechanisms: liquid interfacial layering between nanoparticles and base fluid, particles agglomeration and Brownian motion. The relative importance of each specific mechanism on the enhancement of the effective thermal conductivity is examined. It is shown that sizes of the nanoparticles and the liquid boundary layer around the particles play a determining role. For nanoparticles close to molecular range, the Brownian effect is important. At nanoparticles of the order of 1-100 nm, both agglomeration and liquid layering are influent. Agglomeration becomes the most important mechanism at nanoparticle sizes of the order of 100 nm and higher.The theoretical considerations are illustrated by three case-studies: suspensions of alumina rigid spherical nanoparticles in water, ethylene glycol and a 50/50 w% water/ethylene-glycol mixture, respectively, good agreement with experimental data is observed.

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Developing a novel form of thermal conductivity of nanofluids with Brownian motion effect by means of fractal geometry

Cited by 120 publications

References 58 publications

Effects of Specific Fuel Consumption and Exhaust Emissions of Four Stroke Diesel Engine with CuO/Water Nanofluid as Coolant

Effects of Specific Fuel Consumption and Exhaust Emissions of Four Stroke Diesel Engine with CuO/Water Nanofluid as Coolant

A Review of Thermal Conductivity Models for Nanofluids

The role of several heat transfer mechanisms on the enhancement of thermal conductivity in nanofluids

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