Abstract
Artificial neural network (ANN) has been widely used in the foundry because of its strong nonlinear processing capacity and high fault tolerance. First, the model and its realization of ANN are briefly described by taking the most commonly-used BP network as an example. Then the application of ANN in foundry are reviewed in detail from the aspects of the quality optimization of greensand preparation, control of the melting equipments, diagnosis and prediction of the casting defects, chemical composition prediction of the molten iron, breakout forecast of the continuous casting process, and graphite shape identification of cast iron. Finally its pointed that the application of ANN in foundry will be deeper and broader with the breakthrough of ANN theory.
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