中國有色金屬學報(英文版)
Transactions of Nonferrous Metals Society of China
| Vol. 13 No. 4 August 2003 |
LIU Han-wu(劉漢武)1, ZENG Da-ben(曾大本)2,
CUI Jian-zhong(崔建忠)3, BA Li-min(巴立民)4
（1. Department of Mechanical Engineering,
Northern Jiaotong University, Beijing 100044, China;
2. Department of Mechanical Engineering,
Tsinghua University, Beijing 100084, China;
3. Metal Forming Department, Northeastern University,
Shenyang 110006, China;
4. Anshan Automobile Fittings Factory, Anshan 114014, China）
Abstract:The bonding of solid steel plate to liquid aluminum was studied by using rapid solidification. The relationship between the bonding parameters such as preheat temperature of steel plate, temperature of aluminum liquid and bonding time, and the interfacial shear strength of bonding plate was established by artificial neural networks perfectly. This relationship was optimized with a genetic algorithm. The optimum bonding parameters are: 226℃ for preheat temperature of steel plate, 723℃ for temperature of aluminum liquid and 15.8s for bonding time, and the largest interfacial shear strength of bonding plate is 71.6MPa.
Key words: bonding; steel plate; liquid aluminum; rapid solidification;artificial neural networks; genetic algorithm
