Fast prediction of flow field around airfoils based on deep convolutional neural network

HIGHLIGHTS

• who: Ming-Yu Wu et al. from the Key Laboratory of Transient Physics, Nanjing University of Science and Technology, Nanjing, China have published the Article: Fast Prediction of Flow Field around Airfoils Based on Deep Convolutional Neural Network, in the Journal: (JOURNAL)
• what: The authors propose a steady-state aerodynamic data-driven method to predict the incompressible flow around airfoils of NACA (National Advisory Committee for Aeronautics) 0012-series. To improve the performance of the model, the Signed Distance Function (SDF) is used to parameterize the geometric parameters of the airfoil profile. The authors compare . . .
  

   

  

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