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On the effect of aeration on laser ranging measurements of free water surface.

Authors :
Bizjan, Benjamin
Hočevar, Marko
Kolbl Repinc, Sabina
Rak, Gašper
Source :
Flow Measurement & Instrumentation. Feb2024, Vol. 95, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Aerated flows pose both challenges and opportunities in the measurement of free water surface. In this study, an amplitude-modulated continuous wave scanning LIDAR device was used to measure a distance from the device sensor to the water column surface subjected to different degrees of aeration, while reference measurements were performed by high-speed imaging. Different aeration conditions were generated by variation of the air flow rate supplied to the liquid and by using perforated plates with different hole arrangements. The LIDAR device was shown to produce level readings consistently below visible water levels. The measurement error of the LIDAR method is largely determined by the volume fraction of air in water and was lowest at about 0.1 air volume fraction. The error increases linearly until a very high air volume fraction (i.e., above 0.55), while the LIDAR method also performs poorly in unaerated water. Although the measurement uncertainty of LIDAR in the range of aerated water is by at least an order of magnitude higher than in the case of measuring dry solid surfaces, the method is viable for free surface measurement under low to moderate aeration conditions that don't produce excessive foaming. • Laser ranging measurements of aerated free water surface were performed. • Reference water surface measurements by high-speed imaging. • Slight aeration significantly improves the accuracy of the LIDAR method. • Minimum error around 0.1 air volume fraction, increases linearly after that. • Low effect of air bubble size on measurement error. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09555986
Volume :
95
Database :
Academic Search Index
Journal :
Flow Measurement & Instrumentation
Publication Type :
Academic Journal
Accession number :
174666481
Full Text :
https://doi.org/10.1016/j.flowmeasinst.2023.102502