NDLI: A Comparison of Flat White Aerosol and Rhodamine (R6G) Fluorescent Paints and Their Effect on the Results of Tomographic PIV Measurements

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Tucker, T. Bisel Jerry, L. Dahlberg Tony, R. Martin Spencer, S. Owen Russell, G. Keanini Peter, T. Tkacik Narayan, Nithin Goudarzi, Navid
Copyright Year	2017
Abstract	Methods for reducing surface reflections during PIV measurements are commonly discussed, but the effects of those surface reflections on PIV measurements are generally neglected. In this study, a comparison of light gathering characteristics of an experimental tomographic PIV system is made using a bluff body model that is coated: i) first, with a commercially available flat white aerosol paint and ii) second, with an airbrushed Rhodamine (R6G) fluorescent paint. For each coating, PIV measurements are compared from flow regions that are affected by either direct or indirect reflections. Measurements show that very little incident light is absorbed at white boundaries, producing strong light reflection; this effect, in turn: i) saturates the light signal from far-removed suspended particles and ii) greatly reduces the signal-to-noise ratio for particles situated even close to the receiving optics. By contrast, Rhodamine (R6G) fluorescent paint provides excellent surface reflection mitigation when paired with the 532 nm filters, producing a signal-to-noise ratio sufficient to allow uniform imaging of particles across the entire calibrated volume.
File Format	PDF
ISBN	9780791858424
DOI	10.1115/IMECE2017-71507
Volume Number	Volume 7: Fluids Engineering
Conference Proceedings	ASME 2017 International Mechanical Engineering Congress and Exposition
Language	English
Publisher Date	2017-11-03
Publisher Place	Tampa, Florida, USA
Access Restriction	Subscribed
Subject Keyword	Optics Reflection Coatings Flow (dynamics) Filters Imaging Particulate matter Aerosol paints Aerosols Coating processes Signals Light reflection Paints Signal to noise ratio
Content Type	Text
Resource Type	Article

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