A Model for The Prediction of Fracture Toughness Using Neural Network

Abstract

The purpose of this research programme is to develop quantitative models for the prediction of mechanical properties (fracture toughness) using experimental data collected from the literature, together with a powerful computational technique known as neural network. Creating a truly general model requires a combination of available data and metallurgical knowledge. This model is proposed for martensitic and ordinary bainitic steels in addition to the more recent class of non-structural super-bainitic steels. Super-bainitic steels areattractive for many applications such as armour. The model of fracture toughness, based on chemical composition, heat treatment and mechanical properties is proposed. The predictions of fracture toughness are generally acceptable but the uncertaintiesare high and more input data need to be collected for super-bainitic steels when available in the future to improve the predictions of this model.