Learning Mappings from Iced Airfoils to Aerodynamic Coefficients Using a Deep Operator Network
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Aerospace Engineering"
DOI: 10.1061/jaeeez.aseng-4508
Abstract: , This study abstracted the prediction of the aerodynamic coefficients of an iced airfoil as a mapping from the iced airfoil space to the aerodynamic coefficient space. Thus, a deep network called Airfoils2AeroNet that can… read more here.
Keywords: network; operator network; deep operator; iced airfoils ... See more keywords
Aerodynamic Prediction of Iced Airfoils Based on Modified Three-Equation Turbulence Model
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DOI: 10.2514/1.j059206
Abstract: Ice formation on a wing poses a threat to aircraft safety because it changes the effective shape of the wing and considerably deteriorates the aerodynamic performance. The performance prediction of... read more here.
Keywords: airfoils based; prediction iced; aerodynamic prediction; based modified ... See more keywords