Next Article in Journal
Analysis of Defects in Residential Buildings Reported during the Warranty Period
Next Article in Special Issue
Insights into Single Droplet Impact Models upon Liquid Films Using Alternative Fuels for Aero-Engines
Previous Article in Journal
Rectangular Closed Double Magnetic Circuit Offering Ultra-Long Stroke for Ultra-Low-Frequency Vibration Exciter
Previous Article in Special Issue
Modeling the Formation of Urea-Water Sprays from an Air-Assisted Nozzle
Review

On the Statistical Characterization of Sprays

1
ADAI, LAETA, Mechanical Engineering Department, University of Coimbra, Rua Luis Reis Santos, 3030-788 Coimbra, Portugal
2
IN+, Mechanical Engineering Department, Instituto Superior Técnico, University of Lisbon, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
3
CINAMIL, Department of Exact Sciences and Engineering, Portuguese Military Academy, Rua Gomes Freire, 203, 1169-203 Lisboa, Portugal
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(17), 6122; https://doi.org/10.3390/app10176122
Received: 10 August 2020 / Revised: 28 August 2020 / Accepted: 29 August 2020 / Published: 3 September 2020
(This article belongs to the Special Issue Progress in Spray Science and Technology)
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. View Full-Text
Keywords: drop size distributions; drop size diversity; information theory; nanofluid sprays drop size distributions; drop size diversity; information theory; nanofluid sprays
Show Figures

Figure 1

MDPI and ACS Style

Panão, M.O.; Moita, A.S.; Moreira, A.L. On the Statistical Characterization of Sprays. Appl. Sci. 2020, 10, 6122. https://doi.org/10.3390/app10176122

AMA Style

Panão MO, Moita AS, Moreira AL. On the Statistical Characterization of Sprays. Applied Sciences. 2020; 10(17):6122. https://doi.org/10.3390/app10176122

Chicago/Turabian Style

Panão, Miguel O., Ana S. Moita, and António L. Moreira 2020. "On the Statistical Characterization of Sprays" Applied Sciences 10, no. 17: 6122. https://doi.org/10.3390/app10176122

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop