关键词: injection molding;neural network;melt temperature

Abstract: Among the processing conditions of injection molding, temperature of the melt entering the
mold plays a significant role in determining the quality of molded parts. In our previous
research, a neural network was developed to predict, the melt temperature in the barrel
during the plastication phase. In this paper, a neural network is proposed to predict the
melt temperature at the nozzle exit during the injection phase. A typical two layer neural
network with back propagation learning rules is used to model the relationship between
input and output in the injection phase. The preliminary results show that the network
works well and may be used for on-line optimization and control of injection molding
processes.

Key words: injection molding, neural network, melt temperature