Model of artificial neural network for predicting forming pressure of liquid extrusion

Lehua Qi, Junjie Hou, Fang Yang, Hejun Li

Research output: Contribution to journalArticlepeer-review

Abstract

The forming pressure of the liquid extrusion process is influenced by many factors, including the pouring temperature, the die temperature, the delay period, the pressing velocity, and so on. So it is very difficult to determine the value of the deforming pressure correctly. In this paper, a new method for deforming pressure prediction has been introduced, which is developed on the basis of the three layers of back-propagation neural network. The result show that the calculated values are well identical with the experimental ones.

Original languageEnglish
Pages (from-to)505-508
Number of pages4
JournalCailiao Yanjiu Xuebao/Chinese Journal of Materials Research
Volume13
Issue number5
StatePublished - Nov 1999

Fingerprint

Dive into the research topics of 'Model of artificial neural network for predicting forming pressure of liquid extrusion'. Together they form a unique fingerprint.

Cite this