Artificial neural networks in steel-mushy aluminum pressing bonding

来源期刊：中国有色金属学报(英文版)2000年第2期

论文作者：张鹏 杜云慧 任学平 刘汉武 崔建忠 巴立民

文章页码：213 - 216

Key words：artificial neural networks; steel-mushy aluminum bonding; genetic algorithm

Abstract: 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 shear strength were also optimized with a genetic algorithm.