中國有色金屬學(xué)報(bào)(英文版)
Transactions of Nonferrous Metals Society of China
| Vol. 11 No. 2 April 2001 |
REN Xue-ping(任學(xué)平)2, CUI Jian-zhong(崔建忠)3, BA Li-min(巴立民)4
（1. Department of Mechanical Engineering, Tsinghua University,
Beijing 100084, P.R.China;
2. Department of Metal Forming, University of Science and Technology Beijing,
Beijing 100083, P.R.China;
3. Department of Metal Forming, Northeastern University,
Shenyang 110006, P.R.China;
4. Ansha Automobile Fittings Factory, Anshan 114014, P.R.China）
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.
Key words: bonding of steel and mushy Al-28Pb alloy; artificial neural network; genetic algorithm
