Super-resolution reconstruction of schlieren images of supersonic free jets based on machine learning with bubble shadowgraphy data
Author:
Funder
National Research Foundation of Korea
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Condensed Matter Physics
Link
https://link.springer.com/content/pdf/10.1007/s12650-023-00926-2.pdf
Reference20 articles.
1. Beneddine S, Mettot C, Sipp D (2015) Global stability analysis of underexpanded screeching jets. Eur J Mech B Fluids 49:392–399. https://doi.org/10.1016/j.euromechflu.2014.05.006
2. Castelain T, Gojon R, Mercier B, Bogey C (2016). Estimation of convection speed in underexpanded jets from schlieren pictures. In: 22nd AIAA/CEAS Aeroacoustics Conference, Aeroacoustics Conferences. American Institute of Aeronautics and Astronautics. doi:https://doi.org/10.2514/6.2016-2984
3. Chin C, Li M, Harkin C, Rochwerger T, Chan L, Ooi A, Risborg A, Soria J (2013) Investigation of the flow structures in supersonic free and impinging jet flows. J Fluids Eng. https://doi.org/10.1115/1.4023190
4. Deng Z, He C, Liu Y, Kim KC (2019) Super-resolution reconstruction of turbulent velocity fields using a generative adversarial network-based artificial intelligence framework. Phys Fluids 31:125111. https://doi.org/10.1063/1.5127031
5. Ekwonu MC, Kim KC (2021) Visualization of foam formation from vertically free-falling impinging water jet. J vis 24:9–17. https://doi.org/10.1007/s12650-020-00693-4
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