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