Prediction the Springback in Air-Bending Process Using Neural Network Metamodel

@inproceedings{Khadra2014PredictionTS,
  title={Prediction the Springback in Air-Bending Process Using Neural Network Metamodel},
  author={Fayiz Abu Khadra and Jaber E. Abu Qudiri and H.M.A. Hussein},
  year={2014}
}
To eliminate geometric deviations of sheet metal subjected to an air-bending process from the geometry required by the designer, it is necessary to predict the accurate value of the springback. Springback is the elastic deformation observed upon removal of the load during a bending process. In order to predict the springback amount, a multidimensional function should be approximated. In this paper, a neural network metamodel (NNM) based on the back propagation algorithm is introduced to predict… CONTINUE READING