Development Artificial Neural Network Model to Study the Influence of Oxidation Process and Zinc-Electroplating on Fatigue Life of Gray Cast Iron

The fatigue behavior of Gray Cast Iron is affected to its microstructure, strength, ductility, residual stress and surface roughness etc.... In general, fatigue life increase as the magnitude of surface roughness decrease or the surface hardness increases by surface treatment. As the consequence of conducted high temperature oxidation in subsurface layer of cast iron pores have been creating, coating by zinc-electroplating were filed with new phase and in this way the new zone with different properties was obtained. The aim of this study is to develop an artificial neural network (ANN) model for estimating the fatigue life of Gray cast iron after oxidation process and zinc-electroplating. Amulti-layer model was used the oxidation time, oxidation temperature, coating thickness, the surface roughness, hardness as inputs and the fatigue life as the output of the model. a variety of samples were prepared in different conditions of heat treatment cycle. The obtained experimental results were used for training the neural network. Efficiency test of this model showed reasonably good agreement between experimental and numerical results. Index Term --High Temperature Oxidation, Fatigue Behavior, Zinc-Electroplating.