摘要

Artificial neural networks were successfully used to research the modeling of aluminum solid fraction, preheat temperature of steel plate, preheat temperature of dies, free diffusing time before pressing and the interfacial shear strength in steel-mushy aluminum pressing bonding. Further more, the optimum bonding parameters for the largest interfacial sheer strength were also optimized with a genetic algorithm.