Prediction of springback in air bending process in extended ranges of temperature using the MRA and ANN tecniques

Artificial neural network and multiple regression analysis techniques were applied in order to predict the springback in air bending process under cold, warm and hot forming conditions. To this purpose, plane-strain air bending tests on the AA 6082 aluminium sheets were carried out to obtain the data base to be used in the development of the predictive models. The values of springback ratio K predicted by both the ANN and MRA-based models were found to be very close to the experimental ones obtained under the same process conditions, proving the good predictive capability of both the techniques.