Transferable machine learning model for the aerodynamic prediction of swept wings
Yunjia Yang,
Runze Li,
Yufei Zhang
et al.
Abstract:With their development, machine learning models can be used instead of computational fluid dynamics simulations to predict flow fields in aerodynamic optimization. However, it is difficult to construct a prediction model for swept wings with various planform geometries because too many samples are required to cover the parameter space. In the present paper, a new model framework is proposed to predict wing surface pressure and friction distributions with fewer samples. The distributed geometry parameters along… Show more
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