ARTIFICIAL NEURAL NETWORKS APPLIED TO INVESTIGATION ON SOLID-LIQUID PRESSURE BONDING OF STAINLESS STEEL AND ALUMINIUM
人工神经网络在不锈钢—铝固液相压力复合研究中的应用

Effects of concentration of flux solution,temperature of liquid aluminium,temperature of tools and pressure on shearing strength in solid-liquid pressure bonding of stainless steel and aluminium were investigated by means of artificial neural networks. The optimum bonding parameters were optimized with a genetic algorithm.