Dimensional change prediction in ADI parts using fuzzy modeling

Abstract

This work focuses on the development of a model to help in the qualitative and quantitative estimation of the changes in linear dimensions of austempered ductile iron (ADI) parts during the heat treatment cycles. The model was developed by applying fuzzy concepts using experimental data of dimensional changes taken from a large number of actual parts. It is able to predict the changes expected to take place on selected linear dimensions of ADI parts. Each part is characterised by ten input variables, which include data about chemical composition, heat treatment process and part size. The model is considered a useful tool to help in the estimation of dimensional change in ADI actual parts and it is being used in the design of new components.