On the Statistical Characterization of Sprays

The statistical characterization of sprays is an essential way of organizing data on drop size and velocity to provide reliable information on the spray dynamics. A clear presentation of data using statistical tools provides evidence of a clear research question underlying the spray characterization...

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Bibliographic Details
Published in:Applied sciences 2020-09, Vol.10 (17), p.6122
Main Authors: Panão, Miguel O., Moita, Ana S., Moreira, António L.
Format: Article
Language:English
Subjects:
Drop size
drop size distributions
drop size diversity
Heterogeneity
Histograms
Information theory
nanofluid sprays
Nanofluids
Probability distribution
Sample size
Sprays
Standard deviation
Statistical analysis
Statistics
Velocity
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Summary:The statistical characterization of sprays is an essential way of organizing data on drop size and velocity to provide reliable information on the spray dynamics. A clear presentation of data using statistical tools provides evidence of a clear research question underlying the spray characterization. In this article, a review of the best practices to build histograms is presented, as well as three relevant details on spray characterization: (i) the application of information theory to assess if we have enough information (not data); (ii) the link between mathematical probability distributions and the physical interpretation of spray data; (iii) and introducing, for the first time, the concept of drop size diversity, with the quantification of the polydispersion and heterogeneity degrees. Finally, the view presented is applied to the characterization of nanofluid sprays for thermal management.
ISSN:2076-3417
2076-3417
DOI:10.3390/app10176122