Percolating micro-structures as a key-role of heat conduction mechanism in nanofluids

Tahmooressi, Hamed; Daviran, Samaneh; Kasaeian, Alibakhsh; Rashidi, Alimorad

doi:10.1016/j.applthermaleng.2016.11.197

Cited by 11 publications

(3 citation statements)

References 70 publications

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“…Moreover, the incorporation of carbon nanotori produced important thermal conductivity enhancements as evaluating temperature was increased. For instance, at 323 K, WB nanofluids achieved enhancements of 24, Due to the low applied nanostructures concentrations, the resulting improvements in thermal conductivity could be attributed to diverse factors, such as molecular inter-actions between the lubricants and carbon nanostructures [18,22,25,48], and percolation mechanism [49][50][51]. As the nanotori filler fraction is increased within the lubricants, the nanostructures' distance is decreased, thus increasing the contact probability among them; therefore, thermal transport channels are formed, increasing the thermal conductivity behavior due to the percolation mechanism [52].…”

Section: Resultsmentioning

confidence: 99%

Carbon Nanotori Structures for Thermal Transport Applications on Lubricants

et al. 2021

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Carbon nanostructures have been recently applied to improve industrial manufacturing processes and other materials; such is the case for lubricants used in the metal-mechanic industry. Nanotori are toroidal carbon nanostructures, obtained from chemical treatment of multi-wall carbon nanotubes (MWCNTs). This material has been shown to have superb anti-wear and friction reduction performance, having the ability to homogeneously disperse within water in concentrations between 1–2 wt.%. Obtained results of these novel nanostructures under water mixtures and novel additives were a set point to our studies in different industrial lubricants. In the present work, nanotori structures have been applied in various filler fractions as reinforcement to evaluate the behavior in thermal transport of water-based (WB) and oil-based (OB) lubricants. Temperature-dependent experiments to evaluate the thermal conductivity were performed using a thermal water bath ranging from room temperature up to 323 K. The obtained results showed a highly effective and favorable improvement in the heat transport of both lubricants; oil-based results were better than water-based results, with nanotori structures increasing the lubricants’ thermal transport properties by 70%, compared to pure lubricant.

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Section: Resultsmentioning

confidence: 99%

Carbon Nanotori Structures for Thermal Transport Applications on Lubricants

et al. 2021

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“…Clustering phenomenon, consisting in formation of NP aggregates, may also be considered as another physical phenomenon which could affect thermal conductivity of NF. In such regards, the distribution of the clusters is very important: percolated and well dispersed structures, promoting heat transfer along a main direction, could take to an increase in thermal conductivity enhancement, as found by Iacobazzi et al [14], Gao et al [13], Prasher et al [15], and Tahmooressi et al [16]. Thermal conductivity of NP is another important parameter as well, as highlighted by Wu et al [17], who experimentally characterized thermal behavior of clustered silica NF.…”

Section: Introductionmentioning

confidence: 97%

Thermal conductivity difference between nanofluids and micro-fluids: Experimental data and theoretical analysis using mass difference scattering

et al. 2019

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In this work, an experimental campaign on different nanofluids and micro-fluids, obtained by the dispersion of three different metal oxides (CuO, ZnO, and TiO 2) with diathermic oil or deionized water has been carried out, in order to extend phonon theory to liquids, as already done in a previous work on Al 2 O 3. Thermal conductivity of stable samples was evaluated by time. The experimental results on thermal conductivity of stable micrometric and nanometric particles suspensions in oil and water showed a further proof of mass difference scattering phenomenon.

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“…The process included three major steps, in eight subsets with four output parameters, as described below.These three steps were successfully approved as a tool in morphological study of micro-structures by Tahmooressi et al [24].…”

Section: Image Processingmentioning

confidence: 99%

Evaluation of clustering role versus Brownian motion effect on the heat conduction in nanofluids: A novel approach

Daviran

Kasaeian

Tahmooressi

et al. 2017

International Journal of Heat and Mass Transfer

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In this study, the temperature and viscosity-dependent methods were used to identify the main heat conduction mechanism in nanofluids. Three sets of experiments were conductedto investigate the effects of Brownian motion and aggregation. Image processing approach was used to identify detailed configurations of different nanofluids microstructures. The thermal conductivity of the nanofluids was measured with respect to the dynamic viscosity in the temperature range between 0 and 55 °C. TheResultsclearly indicated thatthe nanoparticle Brownian motion does not play a significant role in heat conduction of nanofluids, which was also supported by the observation that a more viscous sample rendered a higher thermal conductivity. Moreover, the microscopic pictures and the differences in the viscosity between theoretical and experimental valuessuggested the major role of particle aggregation and clustering.

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Percolating micro-structures as a key-role of heat conduction mechanism in nanofluids

Cited by 11 publications

References 70 publications

Carbon Nanotori Structures for Thermal Transport Applications on Lubricants

Carbon Nanotori Structures for Thermal Transport Applications on Lubricants

Thermal conductivity difference between nanofluids and micro-fluids: Experimental data and theoretical analysis using mass difference scattering

Evaluation of clustering role versus Brownian motion effect on the heat conduction in nanofluids: A novel approach

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