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Atomization and Sprays

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ISSN Print: 1044-5110
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Atomization and Sprays

DOI: 10.1615/AtomizSpr.v20.i4.50
pages 337-343

NANOSECOND STRUCTURED LASER ILLUMINATION PLANAR IMAGING FOR SINGLE-SHOT IMAGING OF DENSE SPRAYS

Elias Kristensson
Division of Combustion Physics, Department of Physics, Lund University, Lund
Mattias Richter
Division of Combustion Physics, Department of Physics, Lund University, Lund
Marcus Alden
Division of Combustion Physics, Department of Physics, Lund University, Lund

ABSTRACT

Recently, a novel laser imaging technique, structured laser illumination planar imaging (SLIPI), has demonstrated great potential for suppressing multiply scattered light in spray imaging. SLIPI uses a laser sheet whose intensity is modulated in the spatial domain. Directly scattered photons keep this structural information; whereas, photons that experienced several scattering events lose this information. Using a spatially modulated light source thus enables directly scattered photons to be distinguished from the multiple-scattering contribution. To homogeneously illuminate the spray, three images are required, where the intensity modulation is successively shifted vertically one third of a period. By adequately postprocessing these images, the multiple-scattering contribution is diminished. However, the time interval within which these images are recorded must be short enough to freeze the flow motion, making single-shot SLIPI of highly atomizing sprays particularly challenging. In this article, a nanosecond SLIPI system capable of freezing flow motions up to ∼600 m/s is presented. The instrument was tested on a hollow-cone water spray, running at an injection pressure of up to 50 bars, and high-resolution single-shot images, in which multiple-scattering effects were efficiently suppressed, were obtained. Such images provide detailed information of complex dynamic flow behavior occurring in the dense spray region, e.g., primary and secondary breakups. In addition, it is demonstrated how the liquid sheet length can be estimated by extracting the rmsfrom such single-shot SLIPI images.