采用人工神经网络方法预测了受模口温度和挤出流率影响的型坯成型阶段的膨胀。
Neural network method was used to investigate the parison swell affected by the die temperature and extrusion flow rate.
研究了PVC材料通过矩形口模挤出时，口模的几何参数和剪切速率对离模膨胀的影响，并从理论上分析了其特征规律。
The effects of geometrical parameters of die and shear rates on the die swell of PVC extruded through rectangular die were discussed, and the special rules were also analyses theoretically.
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