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Migration of carbon nanotubes from liquid phase to vapor phase in the refrigerant-based nanofluid pool boiling.

Peng H, Ding G, Hu H - Nanoscale Res Lett (2011)

Bottom Line: The refrigerants include R113, R141b and n-pentane.The experimental results indicate that the migration ratio of carbon nanotube increases with the increase of the outside diameter or the length of carbon nanotube.A model for predicting the migration ratio of carbon nanotubes in the refrigerant-based nanofluid pool boiling is proposed, and the predictions agree with 92% of the experimental data within a deviation of ±20%.

View Article: PubMed Central - HTML - PubMed

Affiliation: Institute of Refrigeration and Cryogenics, Shanghai Jiaotong University, 800 Dongchuan Road, Shanghai 200240, China. glding@sjtu.edu.cn.

ABSTRACT
The migration characteristics of carbon nanotubes from liquid phase to vapor phase in the refrigerant-based nanofluid pool boiling were investigated experimentally. Four types of carbon nanotubes with the outside diameters from 15 to 80 nm and the lengths from 1.5 to 10 μm were used in the experiments. The refrigerants include R113, R141b and n-pentane. The oil concentration is from 0 to 10 wt.%, the heat flux is from 10 to 100 kW·m-2, and the initial liquid-level height is from 1.3 to 3.4 cm. The experimental results indicate that the migration ratio of carbon nanotube increases with the increase of the outside diameter or the length of carbon nanotube. For the fixed type of carbon nanotube, the migration ratio decreases with the increase of the oil concentration or the heat flux, and increases with the increase of the initial liquid-level height. The migration ratio of carbon nanotube increases with the decrease of dynamic viscosity of refrigerant or the increase of liquid phase density of refrigerant. A model for predicting the migration ratio of carbon nanotubes in the refrigerant-based nanofluid pool boiling is proposed, and the predictions agree with 92% of the experimental data within a deviation of ±20%.

No MeSH data available.


Related in: MedlinePlus

Comparison between the predicted migration ratios of the model with the experimental data. (a) for different CNTs physical dimensions; (b) for different refrigerant types; (c) for different oilconcentrations; (d) for different heat fluxes; (e) for different initial liquid-level heights.
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Figure 8: Comparison between the predicted migration ratios of the model with the experimental data. (a) for different CNTs physical dimensions; (b) for different refrigerant types; (c) for different oilconcentrations; (d) for different heat fluxes; (e) for different initial liquid-level heights.

Mentions: Figure 8a to e shows the comparison between the predicted values of the model with the experimental data for different CNTs physical dimensions, refrigerant types, oil concentrations, heat fluxes, and liquid-level heights, respectively. It can be seen from Figure 8a to e that the migration ratio of CNTs predicted by the model and the experimental data have the same tendency changing with the CNTs physical dimension, refrigerant type, oil concentration, heat flux, or initial liquid-level height. The predicted values of the model agree with 92% of the experimental data of migration ratio of CNTs within a deviation of ± 20%, and the mean deviation is 9.96%.


Migration of carbon nanotubes from liquid phase to vapor phase in the refrigerant-based nanofluid pool boiling.

Peng H, Ding G, Hu H - Nanoscale Res Lett (2011)

Comparison between the predicted migration ratios of the model with the experimental data. (a) for different CNTs physical dimensions; (b) for different refrigerant types; (c) for different oilconcentrations; (d) for different heat fluxes; (e) for different initial liquid-level heights.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3211276&req=5

Figure 8: Comparison between the predicted migration ratios of the model with the experimental data. (a) for different CNTs physical dimensions; (b) for different refrigerant types; (c) for different oilconcentrations; (d) for different heat fluxes; (e) for different initial liquid-level heights.
Mentions: Figure 8a to e shows the comparison between the predicted values of the model with the experimental data for different CNTs physical dimensions, refrigerant types, oil concentrations, heat fluxes, and liquid-level heights, respectively. It can be seen from Figure 8a to e that the migration ratio of CNTs predicted by the model and the experimental data have the same tendency changing with the CNTs physical dimension, refrigerant type, oil concentration, heat flux, or initial liquid-level height. The predicted values of the model agree with 92% of the experimental data of migration ratio of CNTs within a deviation of ± 20%, and the mean deviation is 9.96%.

Bottom Line: The refrigerants include R113, R141b and n-pentane.The experimental results indicate that the migration ratio of carbon nanotube increases with the increase of the outside diameter or the length of carbon nanotube.A model for predicting the migration ratio of carbon nanotubes in the refrigerant-based nanofluid pool boiling is proposed, and the predictions agree with 92% of the experimental data within a deviation of ±20%.

View Article: PubMed Central - HTML - PubMed

Affiliation: Institute of Refrigeration and Cryogenics, Shanghai Jiaotong University, 800 Dongchuan Road, Shanghai 200240, China. glding@sjtu.edu.cn.

ABSTRACT
The migration characteristics of carbon nanotubes from liquid phase to vapor phase in the refrigerant-based nanofluid pool boiling were investigated experimentally. Four types of carbon nanotubes with the outside diameters from 15 to 80 nm and the lengths from 1.5 to 10 μm were used in the experiments. The refrigerants include R113, R141b and n-pentane. The oil concentration is from 0 to 10 wt.%, the heat flux is from 10 to 100 kW·m-2, and the initial liquid-level height is from 1.3 to 3.4 cm. The experimental results indicate that the migration ratio of carbon nanotube increases with the increase of the outside diameter or the length of carbon nanotube. For the fixed type of carbon nanotube, the migration ratio decreases with the increase of the oil concentration or the heat flux, and increases with the increase of the initial liquid-level height. The migration ratio of carbon nanotube increases with the decrease of dynamic viscosity of refrigerant or the increase of liquid phase density of refrigerant. A model for predicting the migration ratio of carbon nanotubes in the refrigerant-based nanofluid pool boiling is proposed, and the predictions agree with 92% of the experimental data within a deviation of ±20%.

No MeSH data available.


Related in: MedlinePlus