Modeling and optimizing of steel and mushy Al-28Pb alloy bonding

来源期刊：中国有色金属学报(英文版)2001年第2期

论文作者：张鹏 杜云慧 曾大本 任学平 崔建忠 巴立民

文章页码：239 - 243

Key words：bonding of steel and mushy Al-28Pb alloy; artificial neural network; genetic algorithm

Abstract: The bonding of steel and mushy Al-28Pb alloy was studied. The relationship model about preheat temperature of steel plate, solid fraction of mushy Al-28Pb alloy, rolling speed and interfacial shear strength of the bonding plate was established by artificial neural network perfectly. This model can be optimized by a genetic algorithm, and the optimum bonding parameters for the largest interfacialshear strength are: 546 ℃ for preheat temperature of steel plate, 43. 5% for solid fraction of mushy Al-28Pb alloy and 8.6 mm/s for rolling speed, and the corresponding largest interfacial shear strength of bonding plate is 70.3 MPa.