Heat- and mass-transport in aqueous silica nanofluids

Туранов, А. Н.; Tolmachev, Yuriy V.

doi:10.1007/s00231-009-0533-6

Cited by 92 publications

(26 citation statements)

References 29 publications

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“…Particle type may play a role. In this study a silica nanofluid was used and our results are similar to Turanov and Tolmachev [16]who also investigated a silica nanofluid and reported a 25% 1 H self-diffusion coefficient reduction at a 23% nanoparticle volume fraction. Why particle type matters is unclear, nanoparticle Brownian motion creating a zone of influence is proposed by others [17,18]) to explain enhancement results, but this same motion and effect would be expected independent of particle type.…”

Section: Interpretation Of Resultssupporting

confidence: 81%

Characterizations of Nanofluid Heat Transfer Enhancements

Johnson¹

2013

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Department of Defense, Washington Headquarters Services, Directorate for Information Nanoparticle morphology is thought to be an important factor influencing heat and mass transfer rates in liquid systems. How nanoparticles mechanistically increase heat and mass transfer rates is not well understood. Both dispersed nanoparticles and aggregated nanoparticles are thought to play important roles. Dispersed nanoparticles and associated nanoparticle Brownian movements are purported to cause the enhancements by mixing mechanisms whereas aggregated nanoparticles are purported to cause enhancements by forming highly conductive paths. In this study, morphologies of nanoparticle were quantified in laboratory studies and related to laboratory measured heat and mass transfer rates. No mass transfer enhancements were found in the presence of nanoparticles. Thermal conductivity could be predicted with effective medium theory when aggregated nanoparticle aspect ratio was considered. Nanoparticle morphology is thought to be an important factor influencing heat and mass transfer rates in liquid systems. How nanoparticles mechanistically increase heat and mass transfer rates is not well understood. Both dispersed nanoparticles and aggregated nanoparticles are thought to play important roles. Dispersed nanoparticles and associated nanoparticle Brownian movements are purported to cause the enhancements by mixing mechanisms whereas aggregated nanoparticles are purported to cause enhancements by forming highly conductive paths. In this study, morphologies of nanoparticle were quantified in laboratory studies and related to laboratory measured heat and mass transfer rates.Grant research objectives were to answer fundamental questions related to mechanisms of nanofluid heat transfer enhancer enhancements. Activities in part (1) were designed to answer the question of: Are enhancements related to Brownian nanoparticle motion? Activities in part (2) were conducted to answer the question of: Are enhancements related to the extent of particle aggregation and morphology of aggregated particles, and if so, can the extent of particle aggregation and associated heat transfer enhancements be characterized using fractal dimensions of aggregated nanoparticles? Study parts (1) and (2) comprise the majority of the research effort to satisfy objectives associated with rational for funding support. Additional activities in the final year of the grant were completed once these major research objectives had been met. In study part (3), the morphology characterization techniques developed to study heat transfer mechanisms ...

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Section: Interpretation Of Resultssupporting

confidence: 81%

Characterizations of Nanofluid Heat Transfer Enhancements

Johnson¹

2013

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“…Veilleux and Coulombe [24] measured the tracer mass diffusion of Rhodamine 6G in alumina nanofluids and observed that dye diffusion coefficient at an optimum nanoparticles concentration was ten times larger than that in the de-ionized water [24]. By using the pulsed field gradient nuclear magnetic resonance method, Turanov and Tolmachev [25] and Gerardi et al [26] measured the selfdiffusion coefficient of water in the aqueous suspension of SiO 2 and Al 2 O 3 nanoparticles, respectively. They showed that nanoparticles decreased mass diffusion coefficients by about 30 and 10 %, respectively [25,26].…”

Section: List Of Symbolsmentioning

confidence: 97%

“…By using the pulsed field gradient nuclear magnetic resonance method, Turanov and Tolmachev [25] and Gerardi et al [26] measured the selfdiffusion coefficient of water in the aqueous suspension of SiO 2 and Al 2 O 3 nanoparticles, respectively. They showed that nanoparticles decreased mass diffusion coefficients by about 30 and 10 %, respectively [25,26]. Ozturk et al [27] reported that the Al 2 O 3 nanoparticles did not affect mass diffusion.…”

Section: List Of Symbolsmentioning

confidence: 99%

Experimental investigation of benzoic acid diffusion coefficient in γ-Al2O3 nanofluids at different temperatures

Fard

Beiki

2015

Heat Mass Transfer

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“…Xie et al (2008) showed the dependency of nanofluid viscosity on shear rates, although the effect is minimal for concentrations less than 3.0 vol%. For the diffusion coefficient under the excluded volume diffusion regime, a reduction in the value of D is expected as volume fraction of the obstructive phase (NPs) increases (Turanov and Tolmachev 2009). Joensson et al (1986) suggested a simple model for diffusion of nanofluids, which can be used for nano-CO 2 :…”

Section: Effective Properties Of Brine Saturated With Nano-comentioning

confidence: 98%

Enhanced CO2 Storage and Sequestration in Deep Saline Aquifers by Nanoparticles: Commingled Disposal of Depleted Uranium and CO2

Javadpour

Nicot

2011

Transp Porous Med

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Geological storage of anthropogenic CO 2 emissions in deep saline aquifers has recently received tremendous attention in the scientific literature. Injected buoyant CO 2 accumulates at the top part of the aquifer under a sealing cap rock. Potential buoyant movement of CO 2 has caused some concern that the high-pressure CO 2 could breach the seal rock. However, CO 2 will diffuse into the brine underneath and generate a slightly denser fluid that may induce instability and convective mixing. Onset times of instability and convective mixing performance depend on the physical properties of the rock and fluids, such as permeability and density contrast. We present the novel idea of adding nanoparticles (NPs) to injected CO 2 to increase density contrast between the CO 2 -rich brine and the underlying resident brine and, consequently, decrease onset time of instability and increase convective mixing. The analyses show that 0.001 volume fraction of NPs added to the CO 2 stream shortens onset time of mixing by approximately 80% and increases convective mixing by 50%. If it thus originally takes 5 years for the overlying CO 2 to start convective mixing, by adding NPs, onset time of mixing reduces to 1 year, and after initiation of convective mixing, mixing improves by 50%. A reduction of the CO 2 leakage risk ensues. In addition to other metallic NPs, use of processed depleted uranium oxide (DU) as the NPs is also proposed. DU-NPs are potentially stable and might be safely commingled with CO 2 to store in saline aquifers.

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Heat- and mass-transport in aqueous silica nanofluids

Cited by 92 publications

References 29 publications

Characterizations of Nanofluid Heat Transfer Enhancements

Characterizations of Nanofluid Heat Transfer Enhancements

Experimental investigation of benzoic acid diffusion coefficient in γ-Al2O3 nanofluids at different temperatures

Enhanced CO2 Storage and Sequestration in Deep Saline Aquifers by Nanoparticles: Commingled Disposal of Depleted Uranium and CO2

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