The design, construction, and testing of a high-magnification, long working-distance plenoptic camera is reported. A plenoptic camera uses a microlens array to enable resolution of the spatial and angular information of the incoming light field. Instantaneous images can be numerically refocused and perspective shifted in post-processing to enable threedimensional (3D) resolution of a scene. Prior to this work, most applications of plenoptic imaging were limited to relatively low magnifications (1× or less) or small working distances. Here, a unique system is developed with enables 5× magnification at a working distance of over a quarter meter. Experimental results demonstrate ~25 µm spatial resolution with 3D imaging capabilities. This technology is demonstrated for 3D imaging of the shock structure in a underexpanded, Mach 3.3 free air jet.
Digital in-line holography (DIH) has been proven to provide three-dimensional droplet position, size, and velocity distributions with a single-camera. This data is crucial for understanding multi-phase flows. However, the limits of usability and accuracy of DIH for dilute fields of very small particles, such as sprays, have yet to be studied in detail. In this work, we examine the performance of this diagnostic in the limit of very small particles, on the order of a pixel in diameter and smaller, and propose a post-processing method to improve them: Lanczos interpolation. The Lanczos interpolation kernel is the digital implementation of the Whittaker sinc filter, and strikes a compromise between maintaining the spatial frequency ceiling of the original digital image and computational cost of the interpolation. Without Lanczos interpolation, or super-sampling, the ultimate detectable particle size floor is on the order of 4 pixel widths. We show in this work that this limit can be reduced by 50% or more with super-sampling, depending upon the desired diameter accuracy. Here, we examine the effect of super-sampling on the resulting accuracy of the extracted size and position of spherical particles. Extending this resolution limit increases the overall detection efficiency of the diagnostic. Alternatively, it can also allow a larger field-of-view to be captured with the same particle size floor.
Many liquid metals form surface oxides, which can affect atomization processes during thermal spray coating and metal powder formation. In this work, we experimentally investigate the behaviors and morphologies of a liquid metal under a shockwave-induced cross-flow. Specifically, we use Galinstan, a non-toxic room temperature liquid metal that forms thin elastic oxide layers. By utilizing backlit imaging and digital in-line holography (DIH) of liquid columns inside a shock tube, we are able to compare the behavior of Galinstan with water. Morphological differences and drag properties are investigated as a function of Weber number in the bag, multimode, and sheet thinning regimes. We show that surface oxides appear to drive liquid metal Galinstan to break up earlier in non-dimensional time and cause the formation of more non-spherical breakup shapes and droplets. This investigation of surface oxide behaviors helps to further the understanding of liquid metal breakup.
The temperature inside fireballs produced by detonations is an important quantity of interest for the validation of models. However, such measurements are very difficult to make due to the large pressure and temperature gradients and the harsh environment. In this abstract we will report on one-dimensional rotational coherent anti-Stokes Raman scattering (1D RCARS) measurements performed in such fireballs. CARS measurements were performed at 18 and 28 µs after detonation of a commercial detonator, and the measured temperatures are in the range 300–1600 K.
Quantitative optical measurements in post-detonation fireballs are challenging due to high optical densities and short time scales. This paper demonstrates the use of simultaneous imaging, multispectral emission, and spectrometry diagnostics at high speeds.
Laser diagnostics are essential for time-resolved studies of solid rocket propellant combustion and small explosive detonations. Digital in-line holography (DIH) is a powerful tool for three-dimensional particle tracking in multiphase flows. By combining DIH with complementary diagnostics, particle temperatures and soot/smoke properties can be identified.
This work details the development of an algorithm to determine 3D position and in plane size and shape of particles by exploiting the perspective shift capabilities of a plenoptic camera combined with stereo-matching methods. This algorithm is validated using an experimental data set previously examined in a refocusing based particle location study in which a static particle field is translated to provide known depth displacements at varied magnification and object distances. Examination of these results indicates increased accuracy and precision is achieved compared to a previous refocusing based method at significantly reduced computational costs. The perspective shift method is further applied to fragment localization and sizing in a lab scale fragmenting explosive.
Digital inline holography has been proven to provide three-dimensional droplet position, size, and velocity distributions with a single camera. These data are crucial for understanding multiphase flows. In this work, we examine the performance of this diagnostic in the limit of very small particles, on the order of a pixel in diameter and smaller, and propose a postprocessing method to improve them: Lanczos interpolation. The Lanczos interpolation kernel is the digital implementation of the Whittaker sinc filter and strikes a compromise between maintaining the spatial frequency ceiling of the original digital image and computational cost of the interpolation. Without Lanczos interpolation, or supersampling, the ultimate detectable particle size floor is on the order of four pixel widths. We show in this work that this limit can be reduced by 50% or more with supersampling, depending upon the desired diameter accuracy, and examine the effect of supersampling on the resulting accuracy of the extracted size and position of spherical particles. Extending this resolution limit increases the overall detection efficiency of the diagnostic. Since this increases the spatial dynamic range of the diagnostic, it can also allow a larger field of view to be captured with the same particle size floor.