Research on prediction of the processing parameters of liquid extrusion byBP network

The liquid extrusion process is a new plastic forming technology. It has be en developed in recent years, and is a means by which a tube, bar or shaped product can be effectively formed. However, there is some difficulty in re gulating the process parameters and controlling the forming quality at pres ent. in this paper, the artificial neural network method has been used for exploring the prediction of the process parameters. By the use of a three l ayer BP network as a model, the prediction values coincide well with experi mental values. Therefore, a new way of optimizing process parameters and en hancing forming quality has been provided by the authors. (C) 1999 Publishe d by Elsevier Science S.A. All rights reserved.