Soot and temperature measurements and predictions in highly sooting turbulent flames
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Optics Letters
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Applied Optics
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Experiments in Fluids
Digital in-line holography (DIH) is an optical technique which measures particle sizes and their three-dimensional (3D) positions and velocities. Here DIH and a recently proposed hybrid method of particle detection are applied to quantify the secondary droplets generated by the impact of a single drop on a thin film. By leveraging the expected symmetry between in-plane and out-of-plane velocities, experimental depth uncertainty is measured to be approximately 0.7 of the mean droplet diameter. Furthermore, comparison with previous measurements using alternative techniques shows good agreement with the measured temporal evolution of drop number, size, and velocity components. Finally, the power of DIH to extract the complex 3D morphology of the protruding jets is demonstrated. © 2014 Springer-Verlag Berlin Heidelberg.
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Digital in-line holography is an optical technique which can be applied to measure the size, three-dimensional position, and three-component velocity of disperse particle fields. This work summarizes recent developments at Sandia National Laboratories focused on improvement in measurement accuracy, experimental validation, and applications to multiphase flows. New routines are presented which reduce the uncertainty in measured position along the optical axis to a fraction of the particle diameter. Furthermore, application to liquid atomization highlights the ability to measure complex, three-dimensional structures. Finally, investigation of particles traveling at near sonic conditions prove accuracy despite significant experimental noise due to shock-waves.
Optics Letters
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Optics Express
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Optics Letters
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Applied Optics
The accuracy of digital in-line holography to detect particle position and size within a 3D domain is evaluated with particular focus placed on detection of nonspherical particles. Dimensionless models are proposed for simulation of holograms from single particles, and these models are used to evaluate the uncertainty of existing particle detection methods. From the lessons learned, a new hybrid method is proposed. This method features automatic determination of optimum thresholds, and simulations indicate improved accuracy compared to alternative methods. To validate this, experiments are performed using quasi-stationary, 3D particle fields with imposed translations. For the spherical particles considered in experiments, the proposed hybrid method resolves mean particle concentration and size to within 4% of the actual value, while the standard deviation of particle depth is less than two particle diameters. Initial experimental results for nonspherical particles reveal similar performance.
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