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Anomalous heat transfer modes of nanofluids: a review based on statistical analysis.

Sergis A, Hardalupas Y - Nanoscale Res Lett (2011)

Bottom Line: The application of nanofluids as coolants is a novel practise with no established physical foundations explaining the observed anomalous heat transfer.The most popular proposed mechanisms in the literature to explain heat transfer in nanofluids are revealed, as well as possible trends between nanofluid properties and thermal performance.The review also suggests future experimentation to provide more conclusive answers to the control mechanisms and influential parameters of heat transfer in nanofluids.

View Article: PubMed Central - HTML - PubMed

Affiliation: The Department of Mechanical Engineering, Imperial College London, London SW7 2AZ, UK. a.sergis09@imperial.ac.uk.

ABSTRACT
This paper contains the results of a concise statistical review analysis of a large amount of publications regarding the anomalous heat transfer modes of nanofluids. The application of nanofluids as coolants is a novel practise with no established physical foundations explaining the observed anomalous heat transfer. As a consequence, traditional methods of performing a literature review may not be adequate in presenting objectively the results representing the bulk of the available literature. The current literature review analysis aims to resolve the problems faced by researchers in the past by employing an unbiased statistical analysis to present and reveal the current trends and general belief of the scientific community regarding the anomalous heat transfer modes of nanofluids. The thermal performance analysis indicated that statistically there exists a variable enhancement for conduction, convection/mixed heat transfer, pool boiling heat transfer and critical heat flux modes. The most popular proposed mechanisms in the literature to explain heat transfer in nanofluids are revealed, as well as possible trends between nanofluid properties and thermal performance. The review also suggests future experimentation to provide more conclusive answers to the control mechanisms and influential parameters of heat transfer in nanofluids.

No MeSH data available.


Related in: MedlinePlus

Sample of one of the scatter diagrams used to extract the trends. The diagram depicts various results of viscosity enhancement for the Al2O3-water type nanofluid at various concentrations (Φ) and at a temperature range of 290-310 K.
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Figure 9: Sample of one of the scatter diagrams used to extract the trends. The diagram depicts various results of viscosity enhancement for the Al2O3-water type nanofluid at various concentrations (Φ) and at a temperature range of 290-310 K.

Mentions: Level 2 analysis allowed the formation of various scatter diagrams and two of the most representative diagrams are selected and can be seen in Figures 8 and 9. Figure 8 presents the effect of nanoparticle concentration and size on conducting heat transfer for Al2O3-water nanofluids. Figure 9 shows the effect of nanoparticle concentration and size on the viscosity of the mixture for Al2O3-water nanofluids. The scatter diagram analysis provided vital information on the links between nanofluids parameters and their thermal performance. The following trends were derived:


Anomalous heat transfer modes of nanofluids: a review based on statistical analysis.

Sergis A, Hardalupas Y - Nanoscale Res Lett (2011)

Sample of one of the scatter diagrams used to extract the trends. The diagram depicts various results of viscosity enhancement for the Al2O3-water type nanofluid at various concentrations (Φ) and at a temperature range of 290-310 K.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3211485&req=5

Figure 9: Sample of one of the scatter diagrams used to extract the trends. The diagram depicts various results of viscosity enhancement for the Al2O3-water type nanofluid at various concentrations (Φ) and at a temperature range of 290-310 K.
Mentions: Level 2 analysis allowed the formation of various scatter diagrams and two of the most representative diagrams are selected and can be seen in Figures 8 and 9. Figure 8 presents the effect of nanoparticle concentration and size on conducting heat transfer for Al2O3-water nanofluids. Figure 9 shows the effect of nanoparticle concentration and size on the viscosity of the mixture for Al2O3-water nanofluids. The scatter diagram analysis provided vital information on the links between nanofluids parameters and their thermal performance. The following trends were derived:

Bottom Line: The application of nanofluids as coolants is a novel practise with no established physical foundations explaining the observed anomalous heat transfer.The most popular proposed mechanisms in the literature to explain heat transfer in nanofluids are revealed, as well as possible trends between nanofluid properties and thermal performance.The review also suggests future experimentation to provide more conclusive answers to the control mechanisms and influential parameters of heat transfer in nanofluids.

View Article: PubMed Central - HTML - PubMed

Affiliation: The Department of Mechanical Engineering, Imperial College London, London SW7 2AZ, UK. a.sergis09@imperial.ac.uk.

ABSTRACT
This paper contains the results of a concise statistical review analysis of a large amount of publications regarding the anomalous heat transfer modes of nanofluids. The application of nanofluids as coolants is a novel practise with no established physical foundations explaining the observed anomalous heat transfer. As a consequence, traditional methods of performing a literature review may not be adequate in presenting objectively the results representing the bulk of the available literature. The current literature review analysis aims to resolve the problems faced by researchers in the past by employing an unbiased statistical analysis to present and reveal the current trends and general belief of the scientific community regarding the anomalous heat transfer modes of nanofluids. The thermal performance analysis indicated that statistically there exists a variable enhancement for conduction, convection/mixed heat transfer, pool boiling heat transfer and critical heat flux modes. The most popular proposed mechanisms in the literature to explain heat transfer in nanofluids are revealed, as well as possible trends between nanofluid properties and thermal performance. The review also suggests future experimentation to provide more conclusive answers to the control mechanisms and influential parameters of heat transfer in nanofluids.

No MeSH data available.


Related in: MedlinePlus