Development of processing map for InX-750 superalloy using hyperbolic sinus equation and ANN model

Abstract

The aim of this study is to develop processing maps based on two models and compare them with conventional processing maps. The hyperbolic sinus constitutive equation and artificial neural network (ANN) approaches were used in this investigation to predict flow stress and to develop processing maps in various conditions. The hot compression tests of InX-750 superalloy were carried out above the gamma prime phase temperature and within the temperature range of 1000–1150 °C and strain rate of 0.001–1.000 s−1. The processing maps were conducted based upon dynamic material model (DMM) for data by experimental, constitutive equation and ANN approaches. The processing maps drawn by either of the prediction methods show that the method developed by ANN data does not significantly differ from the experimental processing map. The ANN approach is thus a suitable way to predict the flow stress as well as hot working processing map of engineering metals and materials.