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Efficient Prediction of Ice Shapes in CFD Simulation of In-flight Icing Using a POD-Based Reduced Order Model
Technical Paper
2011-38-0032
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
In-flight icing is a persistent threat to aircraft safety and, in particular, the droplet impingement areas and intensity on the aircraft surfaces must be further investigated for anti-icing and de-icing devices. As a step toward the prediction of droplet impingement on aircraft, an Eulerian-based droplet impingement code that provides collection efficiency is developed in this paper. A computational fluid dynamics solver was also developed to solve the dry air. Then, a proper orthogonal decomposition method (a reduced order model) that optimally captures the energy content from a large multi-dimensional data set is used to predict the collection efficiency and the iced shapes on an airfoil following the mean volume diameter, liquid water content, and angles of attack. As a result, it is shown that the collection efficiency and iced shapes are in good agreement with the simulated and predicted results.
Authors
Citation
Jung, S., Myong, R., and Cho, T., "Efficient Prediction of Ice Shapes in CFD Simulation of In-flight Icing Using a POD-Based Reduced Order Model," SAE Technical Paper 2011-38-0032, 2011, https://doi.org/10.4271/2011-38-0032.Also In
References
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