Optical diagnostic techniques for spray systems

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Optical diagnostic techniques for spray systems V. Stetsyuk and C. Crua Centre for Automotive Engineering, University of Brighton Workshop: Utilisation and valorisation of CO 2 for green chemistry Chemical reactor, Optic methods and Catalyst 19 th and 20 th February 2015 Saint-Etienne-du-Rouvray, France Bâtiment Dumont d'urville, amphi DU BRJ 02

Contents Spray systems and spray technology Data needed to develop a spray system Common optical diagnostic techniques Hardware/components to study spray characteristics Digital image processing (introduction into typical problems) Conclusions 2

Spray systems and spray technology Internal combustion engines Vessels cleaning systems Water mist fire protection systems Picture: http://www.climatetechwiki.org/ Jet engines/gas turbines Picture: http://chemacinc.com Agriculture Picture: http://www.enggcyclopedia.com/ Other Food industry - Vitamin spraying - Product moisturizing - Spraying of sugar solutions Picture: https://www.asme.org Picture: http://www.growthproducts.com/ Disinfection - Hygiene applications 3

Data needed to develop a spray system Droplet shape (volume, surface) Tip penetration Drop size distribution Injection nozzle spray Drop velocity distribution in-nozzle flow primary breakup Liquid core secondary breakup Spray geometries 4

Common optical diagnostic techniques Particle image velocimetry (velocity) Schlieren imaging flow visualisation techniques High-speed video imaging (size and velocity) Direct imaging (size and velocity) Phase Doppler anemometry (size and velocity) Interferometric laser imaging for droplet sizing (size and velocity) Microscopic Imaging (size and velocity) Rainbow thermometry (size and temperature) Planar laser-induced fluorescence (size and velocity) not covered in this presentation 5

Schlieren imaging [Foucault, 1859 and Toepler, 1864] Flow visualisation [density gradients] Spray visualisation [tip penetration] Picture: http://www.grc.nasa.gov/www/k-12/airplane/tunvschlrn.html Evolution of n-dodecane spray as a function of time after the start of the trigger. Injection pressure is 1500 bar, ambient is 1 bar Reflected pressure wave [local speed of sound] 6

Particle image velocimetry (PIV) Flow or droplet velocity can be measured Flow must be seeded with small particles or droplets must present Double pulse lasers and double frame cameras are needed PIV image of swirling burning jet PIV image of diesel fuel spray [no seeding] Frame 1 Frame 2 Velocity vectors Flow was seeded with Al 2 O 3 particles 7

Direct imaging [Dombrowski and Fraser 1954; Chigier, 1976] Requirement for high magnification to resolve small droplets Spatial resolution issues (high-speed video) 7-hole injector spray Processed frames CCD camera Injector Diffusing screen Light source High-speed video of supersonic diesel spray Spray High-speed video of diesel spray [1500 bar into 48 bar ambient] Mach number = 1.35 Fuel: n-dodecane 8

Phase Doppler Anemometry (PDA) [Bachalo & Houser 1984; Saffman et al. 1984; Bauckhage et al. 1987] Velocity is computed form Doppler shift (beat frequency) Size is computed from the phase difference between two detectors Three detectors provide greater resolution and a large measurable size range Spherical shapes only Particles density limit At a point only Incident beams Detector 1 Detector 2 Laser beam splitter Detector 1 Detector 2 Beam 1 scattered waves interfere in space and create a beat signal with a frequency which is proportional to the velocity of the particle Beam 2 Why 2 beams? f% v / c 100% 10/ 299700000=3.3367e-06 9

Interferometric Laser Imaging for Droplet Sizing (ILIDS) 2D spatial droplets distribution Instantaneous size and velocity (two cameras or a single double frame) Spherical droplets only Fundamental limit of geometrical optics Minimum droplet diameter 2 k. Maximum droplet diameter Nmax=L/4 conventional ILIDS technique [Glover et al. 1995] [Golombok et al., 1998] Laser sheet Droplet Image d N k Image Image N - Fringe count k Diameter per fringe L Image N 10

Interferometric Laser Imaging for Droplet Sizing (ILIDS) Typical compressed ILIDS image Schematic of the optical configuration of ILIDS including the optical compression unit introduced by Maeda et al., 2000 droplet velocity estimation in ILIDS processing Optical compression unit is used to prevent droplets overlapping on screen S. Sahu, Experimental Study of Isothermal and Evaporative Sprays (PhD thesis), Imperial College London, 2011. 11

Microscopic Imaging [Crua et al. 2010; Bae et al. 2002; Badock et al. 1999; Sjöberg et al. 1996] High spatial resolution (d<10 µm) Spherical and non-spherical droplets including partially formed (ligaments) can be measured Velocity of individual droplets can be estimated Difficulty with lighting at microscopic level Diffraction limit [fundamental limit] Microscope Light source colour of light used to illuminate Limit of resolution 0.61 NA numerical aperture Spray 12

Microscopic Imaging (cont.) 7-hole DFI-1.3 injector; nozzle diameter of 135 µm Shadowgraphs of diesel sprays with sub-micron resolution Injection at 40 MPa into atmospheric conditions. o Small droplets are visible o Initial jet structure is visible o Detailed spray structure is scanned Crua et al., ICLASS 2012, Heidelberg, Germany, September 2 6, 2012 13

Microscopic Imaging (cont.) 1.025 x 0.486 mm Shadowgraphs of diesel sprays with sub-micron resolution Injection at 100 MPa into high pressure and temperature environment d=30 µm V x =5, V y =0 m/s Tip of injector Injection direction Spherical and nearly spherical droplets Highly deformed structures [shown in green] 14

Microscopic Imaging (cont.) When microscopic imaging is considered? Initial stage of jet formation Primary breakup Near nozzle effects, e.g. thermal boundary layer Diffraction issues (low resolution) Significant rejection rate (out of focus) during engine tests Ambient 1 bar, Injection 500 bar, n-dodecane Ambient 40 bar, Injection 500 bar, n-dodecane 15

Hardware/components to study spray characteristics Constant volume chamber [P<350 bar] Rapid compression machine [P<120 bar] Bore: 135 mm Stroke: 150 mm Displacement: 2.2 l RPM: 500 T = 540-850 K Picture: http://www.sandia.gov/ecn/cvdata/sandiacv/vesselgeometry-pc.php Atmospheric chamber [P=1 bar] optical access 16

Hardware/components to study spray characteristics Long-distance microscopes Lenses Pulsed diode laser light source Picture: https://www.infinity-usa.com/products/instruments/k-series.aspx High-speed cameras Low-speed cameras LED pulsing systems Picture: http://www.visionresearch.com/products/high-speed-cameras/v710/ Picture: http://www.photonics.com/ Picture: http://www.ila.de/piv/piv-systems/lps.html 17

Image processing There is a need to automatically identify drops in images Spherical droplets are relatively easy to account for Several optical techniques work well with spherical non-deformed droplets Classical approach: Find all pixels, assume sphericity, compute equivalent diameter image segmentation Typical questions Raw image Binary image How to get from raw images to binary images? What happens if a droplet is not spherical? Volume and surface area for deformed droplet? Small droplets (pixilation)? Measured droplet size/real size? 18

Conclusions Key elements in selection of optical diagnostic techniques Access into a test section Signal acquisition and interpretation Specific method and conditions are defined by research tasks Particle image velocimetry (velocity) Schlieren imaging High-speed video imaging (size and velocity) Direct imaging (size and velocity) Phase Doppler anemometry (size and velocity) Interferometric laser imaging for droplet sizing (size and velocity) Microscopic Imaging (size and velocity) 19

Acknowledgements The authors thank Energy Efficiency and Environment : Cross Channel Cluster (E3C3) The E3C3 project (n 4274) was selected by the European INTERREG IV A France (Channel) England Cross-border Cooperation Programme, co-financed by ERDF. And The Finnish Academy For Financial support