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采用人工神经网络方法建立了钢-铝固液相复合中助焊剂质量分数、铝液温度、模具温度、压力与界面层厚度间的关系模型，并结合最大剪切强度的复合工艺参数得出了钢-铝固液相压力复合的最佳界面层厚度为10．0μm．
The model of the relationship between the mass fraction of flux, the temperature of molten aluminum, the temperature of mold, the pressure and the thickness of interface layer in steel-aluminum solid-liquid composite was established by using artificial neural network method. Combined with the parameters of maximum shear strength, The optimal interface thickness of steel-aluminum solid-liquid pressure composite is 10.0μm.