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以淀粉和乙烯醋酸乙烯酯(EVA)为原料制备淀粉/EVA生物质发泡材料,研究了螺杆转速、模头温度和含水率对挤出发泡的影响,并应用人工神经网络技术建立双层BP网络模型,将其正交实验结果作为样本进行训练,对生物质发泡材料的膨胀率进行预测。结果表明,该BP神经网络模型能准确地预测出淀粉/EVA发泡材料的膨胀率,样品的膨胀率随着螺杆转速的增加而逐渐增大,在螺杆转速为320r/min时达到最大值;样品的膨胀率亦随着模头温度的升高而逐渐增大,在140℃时达到最大值;含水量对淀粉/EVA发泡材料的膨胀率影响显著。
The effect of screw speed, die temperature and water content on extrusion foaming was studied by using starch and ethylene vinyl acetate (EVA) as raw materials to prepare starch / EVA biomass foaming material. The artificial neural network BP network model, the orthogonal experimental results as a sample training, prediction of biomass foam expansion rate. The results show that the BP neural network model can accurately predict the expansion rate of starch / EVA foams, and the expansion rate of samples increases with the increase of screw speed, reaching the maximum when the screw speed is 320r / min. The swelling rate of samples also increased with the increase of die temperature and reached the maximum at 140 ℃. The water content had a significant effect on the expansion rate of starch / EVA foams.