Prediction of Stress Relaxation Behavior of Polymer Foam Using Artificial Neural Network

Stress relaxation is one of the methods used to characterize polymer foam materials. Stress relaxation data are valuable and provide important information, as they can prevent failure or unsafe usage of these materials under different loads. The aim of this study is to introduce the artificial neural network (ANN) technique for predicting the stress relaxation of polymer foam over time. The neural network model was constructed with relaxation time, stress, and strain as input parameters, and normalized stress relaxation as the output. The results demonstrate that the ANN model achieved highly accurate predictions for stress.