THE FLOW-STRESS MATERIAL MODEL FOR WIDE RANG OF STRAIN RATE AND TEMPEPATURE BASED ON AN ARTIFICIAL NEURAL NETWORK
An approach to development of a material model based on artificial neural network describing plastic flow was considered. Model’s feature is possibility to model flow behavior of material in wide range of strain, strain rate and temperature. On an example for AISI 45 the benchmark analysis of training for various variants of the learning data preparation was carried out.