Propose a Correlation to Approximate Nanofluids‟ Enthalpy of Vaporization - A Numerical Study

Mehregan, Mina; Moghiman, Mohammad

doi:10.7763/ijmmm.2014.v2.103

Cited by 10 publications

(5 citation statements)

References 21 publications

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“…The boiling points of GNP/ n -decane nanofluid fuels were measured by the atmospheric distillation method . The latent heat of vaporization of GNP/ n -decane nanofluid fuels was calculated by a formula proposed by Mehregan et al: where h fg is the latent heat of vaporization, ρ is the density, and T b is the boiling point. The latent heat of vaporization of n -decane is 363 kJ/kg at atmospheric pressure and room temperature .…”

Section: Methodsmentioning

confidence: 99%

Effect of Nanoparticle Concentration on Physical and Heat-Transfer Properties and Evaporation Characteristics of Graphite/n-Decane Nanofluid Fuels

Yang

et al. 2022

ACS Omega

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n-Decane-based nanofluid fuels could be one of the most promising alternative fuels as aviation kerosene for aerospace application. However, the physical and heat-transfer properties of n-decane-based nanofuels have been rarely studied, and the influence of the concentration of nanoparticles on the evaporation characteristics of n-decane-based fuels has been sparsely investigated. This paper investigated physical and heat-transfer properties and evaporation characteristics of graphite/n-decane nanofluid fuels and emphasized the concentration effect of adding graphite nanoplatelets (GNPs) on these characteristics. It was found that there are a linear increase of density and thermal conductivity, a binomial increase of viscosity, and a binomial influence on surface tension as GNP concentration increases, while the boiling point almost remains constant, and the latent heat of vaporization largely decays. There exists a critical GNP concentration of 1.75 wt % for the evaporation performance. At 0∼1.75 wt %, the increase of GNP concentration benefits the evaporation. At 1.75∼4.0 wt %, the enhancement of GNP concentration deteriorates the evaporation performance. A detailed discussion of this evaporation behavior was made, which could be attributed to multiple factors, for example, the aggregation of nanoplatelets, the changes of physical and heat-transfer properties owing to the nanoparticle concentration effect, the surfactant concentration, and the ambient temperature. The concentration of surfactants has a binomial effect, and the ambient temperature has a linear effect on the evaporation rate. This study would promote in depth understanding of physical and heat-transfer properties and evaporation characteristics of nanofluid fuels and develop the application in turbine engines and ramjet engines.

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Section: Methodsmentioning

confidence: 99%

Effect of Nanoparticle Concentration on Physical and Heat-Transfer Properties and Evaporation Characteristics of Graphite/n-Decane Nanofluid Fuels

Yang

et al. 2022

ACS Omega

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“…This can further enhance the evaporation rate in conjunction to the interfacial shear induced replenishment of the diffusion layer (as discussed earlier). Also, the inclusion of nanoparticles reduces the effective heat of vaporization of a colloid as [50]   , , (18) In eqn. 18, 'nf' represents the ferrofluid, 's' for the nanoparticles and no subscripts represents the basefluid.…”

Section: F Predicting the Ferro-hydrodynamic Advection Velocity And E...mentioning

confidence: 99%

Ferro-advection aided evaporation kinetics of ferrofluid droplets in magnetic field ambience

et al. 2020

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The present article discusses the physics and mechanics of evaporation of pendent, aqueous ferrofluid droplets and modulation of the same by external magnetic field. We show experimentally and by mathematical analysis that the presence of magnetic field improves the evaporation rates of ferrofluid droplets. First we tackle the question of improved evaporation of the colloidal droplets compared to water, and propose physical mechanisms to explain the same.Experiments show that the changes in evaporation rates aided by the magnetic field cannot be explained on the basis of changes in surface tension, or based on classical diffusion driven evaporation models. Probing using particle image velocimetry shows that the internal advection kinetics of such droplets plays a direct role towards the augmented evaporation rates by modulating the associated Stefan flow. Infrared thermography reveal changes in the thermal gradients within the droplet and evaluating the dynamic surface tension reveals presence of solutal gradients within the droplet, both brought about by the external field. Based on the premise, a scaling analysis of the internal magneto-thermal and magneto-solutal ferroadvection behavior is presented. The model incorporates the role of the governing Hartmann number, the magneto-thermal Prandtl number and the magneto-solutal Schmidt number. The analysis and stability maps reveal that the magneto-solutal ferroadvection is the more dominant mechanism, and the model is able to predict the internal advection velocities with accuracy. Further, another scaling model to predict the modified Stefan flow is proposed, and is found to accurately predict the improved evaporation rates.

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“…Mehregan and Moghiman 22 also provided a correlation to measure h fg of nanofluids:

{false(ρ {italich}_{fg} false)}_{nf} normal= (1 normal- italicφ) italicρ h_{fg} normal+ (\frac{{italicT}_{b, bf}}{{italicT}_{b, np}} normal\times italicφ ρ_{s} h_{fg normal, normals}) .

…”

Section: Governing Equationsmentioning

confidence: 99%

Investigating the effect of nanofluids of aluminum oxide and titanium dioxide on the heat transfer of the engine cooling coil by considering the boiling phenomenon

Senejani

Mehdipour

2020

Heat Trans

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Automotive industries are constantly seeking to produce more powerful and efficient engines. One of the factors affecting engine efficiency is the engine's temperature. Several research studies have been done to control and reduce engine temperature. The generated heat due to combustion of fuel in the engine should be cooled down to avoid engine heat up. In the present study, the cooling circuit of a real‐scale internal combustion engine is simulated using GT‐suite software along with a proposed model. Also, in this study, a model for simulating boiling and the effect of employing nanofluids as a coolant is presented. Initially, the performance of the proposed model is examined in a channel. The results show that the proposed model increases accuracy by about 20% compared with the default GT‐suit model, which ignores boiling. The simulation results show that the presence of Al2O3 and TiO2 nanofluids up to 2 vol% reduces the engine wall temperature by 7% and 6.7%, respectively.

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Propose a Correlation to Approximate Nanofluids‟ Enthalpy of Vaporization - A Numerical Study

Cited by 10 publications

References 21 publications

Effect of Nanoparticle Concentration on Physical and Heat-Transfer Properties and Evaporation Characteristics of Graphite/n-Decane Nanofluid Fuels

Effect of Nanoparticle Concentration on Physical and Heat-Transfer Properties and Evaporation Characteristics of Graphite/n-Decane Nanofluid Fuels

Ferro-advection aided evaporation kinetics of ferrofluid droplets in magnetic field ambience

Investigating the effect of nanofluids of aluminum oxide and titanium dioxide on the heat transfer of the engine cooling coil by considering the boiling phenomenon

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