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- W2316523013 abstract "The focus of the present study is to develop an Artificial Neural Network (ANN) model to predict the unsteady lift coefficients of an ellipsoidal airfoil in LowReynolds-Number (LRN) flapping motion. Computational Fluid Dynamics (CFD) simulations of the flow around the airfoil flapping in the form of a novel figure-eight pattern are conducted. The corresponding unsteady lift coefficients are used for the ANN training and validation of its predictions. The results show that the ANN is capable of predicting the lift coefficients with reasonable accuracy, and it can be used to obtain the effects of unsteady flow and system parameters, pitching amplitude of oscillation and Reynolds number, on the aerodynamic performance." @default.
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- W2316523013 date "2010-06-14" @default.
- W2316523013 modified "2023-09-26" @default.
- W2316523013 title "Application of Artificial Neural Networks in Aerodynamics Prediction of Low-Reynolds-Number Figure-Eight Motion of an Airfoil" @default.
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- W2316523013 doi "https://doi.org/10.2514/6.2010-8120" @default.
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