https://popups.uliege.be/esaform21/index.php?id=1995 In this paper, an Artificial Neural Network (ANN) is used to predict the stress-strain behavior of PET at conditions relevant to Stretch Blow Moulding i.e. Large equibiaxial deformation at elevated temperature and high strain rate. The input vectors considered are temperature, strain, and strain rate with a corresponding output parameter of stress. In the present work, a feed-forward back backpropagation algorithm was used to train the ANN. The ANN is able to approximate the relationship between stress and strain at various strain rates & temperatures to a high degree of accuracy for all conditions tested. Mini Symposia MS12 (Polymer) fr Tue, 23 Mar 2021 12:22:27 +0100 Mon, 12 Apr 2021 10:21:39 +0200 https://popups.uliege.be/esaform21/index.php?id=1995 0