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Proceedings Paper

Time-based analysis of phase Doppler data
Author(s): J. R. Zurlo; Cary Presser; Atul Kumar Gupta
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Paper Abstract

A power spectral density estimation was performed to detect characteristic velocity fluctuations in the surrounding air flow field of a air-assisted spray flame. Measurements were carried out using randomly spaced in time velocity data obtained from a phase Doppler instrument. A fast algorithm enabled large numbers of data points to be analyzed in a relatively short time. An unbiased estimate was made of the power spectral density that considered the variable measurement times of individual realizations. The measured droplet arrival times from the phase Doppler particle sizer were used to determine the appropriateness of the Poisson distribution in describing droplet arrival times. The results indicate that the variance in droplet arrival statistics is larger than would be expected for a Poisson process. In addition, several positions in the spray have bimodal distributions which limits the utility of the Poisson process.

Paper Details

Date Published: 24 May 1993
PDF: 13 pages
Proc. SPIE 1862, Laser Applications in Combustion and Combustion Diagnostics, (24 May 1993); doi: 10.1117/12.145690
Show Author Affiliations
J. R. Zurlo, Precision Combustion (United States)
Cary Presser, National Institute of Standards and Technology (United States)
Atul Kumar Gupta, Univ. of Maryland/College Park (United States)

Published in SPIE Proceedings Vol. 1862:
Laser Applications in Combustion and Combustion Diagnostics
Larry C. Liou, Editor(s)

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