Modelling of plane strain compression (PSC) test for aluminium alloys using finite elements and fuzzy logic

Abstract

A semi-physical hybrid model has been developed for the prediction of material properties (i.e. stress/strain, recrystallisation behaviour and the internal states) for aluminium alloys. The model input variables are the temperature, strain-rate and strain. It predicts the material behaviour and properties under plain-strain compression (PSC) tests using a hybrid structure of intelligent models (neuro-fuzzy) and constitutive equations. An integration process incorporating both the hybrid and the finite element models has been undertaken, where the hybrid model is embedded into the finite element model and utilised for calculating the flow stress distribution for the PSC tests. The paper discusses the model developments and its integration into the final finite element model. This is demonstrated via some selected results when modelling plane strain compression tests of an Al–1%Mg alloy.