Abstract: The liquid extrusion process, which is developed by incorporating the strong points of liquid metal forging and hot extrusion process, is a kind of new metal forming technology for shaping nonferrous metal tube and bar products in recent years. Because the process is concerned with a series of complex problems in metallurgy, heat transfer, solidification and plastic deformation, establishing its exact mathematic model is very difficult. The process parameters are only selected by experience, which makes the quality control of products uneasy. For solving the problem, an artificial neural network has been applied to the process in this paper. The knowledge base for shaping tube and bar products has been established and verified by 81 series of experimental data. By this research, the key process parameters of liquid extrusion, including deforming pressure and delay period, can be accurately predicted, and an important foundation has been laid for advancing the new forming process utilized in practice.

Key words: neural networ ks, liquid extruding, knowledge bases