Modal analysis and interface tracking for multiphase flows
ORAL
Abstract
The primary breakup of a liquid core by an airblast atomizer is a complex phenomenon involving several instabilities that result in droplet generation and dispersion. We use back-lit imaging to distinguish the liquid-gas interface of a liquid-gas airblast atomizer at high temporal and spatial resolutions and employ Dynamic Mode Decomposition (DMD) to study the shape and frequency of instabilities of a liquid jet. Because DMD is not suitable for interface tracking, we develop a data-driven two-step approach using the optical sensor data for the reconstruction and prediction of the location of the liquid-gas interface. The method uses DMD on the optical flow field estimated from image snapshot pairs. We demonstrate our method to a representative toy problem of an oscillating drop and on the primary atomization of a numerical planar liquid jet. Finally, we apply our method to the experimental liquid jet from the coaxial airblast atomizer using back-lit imaging. Our method is able to accurately reconstruct and predict the flow and preserves the sharpness of the fluid interface.
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Presenters
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Daniel J Bodony
University of Illinois at Urbana-Champaign, University of Illinois at Urbana-Champai
Authors
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Daniel J Bodony
University of Illinois at Urbana-Champaign, University of Illinois at Urbana-Champai
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Palash Sashittal
University of Illinois at Urbana-Champai
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Robert M Chiodi
University of Illinois at Urbana-Champaign
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Timothy B Morgan
Iowa State University
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Olivier Desjardins
Cornell University
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Theodore J Heindel
Iowa State University