Semi-solid processing of steel-Al-7 graphite binding plate

Abstract

The bonding of steel plate to Al-7 graphite slurry was studied for the first time. The relationship model about preheat temperature of steel plate, solid fraction of Al-7 graphite slurry, rolling speed and interfacial shear strength of bonding plate could be established by artificial neural networks perfectly. This model could be optimized with a genetic algorithm. The optimum bonding parameters are: 516°C for preheat temperature of steel plate, 32.5% for solid fraction of Al-7 graphite slurry and 12 mm/s for rolling speed, and the largest interfacial shear strength of bonding plate is 70.6MPa.

Keywords

bonding of steel plate to Al-7 graphite slurry / artificial neural networks / genetic algorithm

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