Application of ANN in Preparing Technology of Magnesium Matrix Composites

Abstract

SiCp/AZ61 matrix composites were fabricated by stirring process in the paper. Different SiC volume fractions, processing temperature and stirring time have different influence on tensile strength and elongation of SiC; it is very difficult to find out the best processing parameters with traditional method. An effective method is demonstrated here: The orthogonal experiment design method is put into use at first, and then a satisfied ANN(Artificial Neural Network) is achieved by help of GA’s(Genetic Algorithm) global optimizing capacity. Experimental results proved the prediction accuracy and the adaptability of our work.