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型坯成型是挤出吹塑中的一个重要阶段 ,人工神经网络是一门新兴交叉科学。本文用几种不同的神经网络模型预测了挤出吹塑中型坯成型时的直径膨胀率 ,选取其中精度和效率均较高的模型 ,以用于下一步用神经网络来预测型坯成型时的壁厚膨胀率和最终制品的壁厚分布
Parison molding is an important stage in extrusion blow molding. Artificial neural network is an emerging cross-science. In this paper, several different neural network models are used to predict the diameter expansion rate of parison in extrusion blow molding. The model with high accuracy and efficiency is selected to be used in the next step to predict the parison shape by neural network Wall thickness expansion rate and final product wall thickness distribution