中文摘要：

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。

英文摘要：

During the preparation of biologic foam materials using starch and ethylene-vinyl acetate copolymer（EVA）as raw material to prepare the starch/EVA biologic materials,the influences of screw speed,die temperature and moisture content on extrusion foaming have been studied,and the double-layer BP network model based on artificial neural network technique has been built.The orthogonal experiment result has been used as samples to train and forecast the expansibility of biologic foam materials.The results show that this BP network model is effective to forecast expansibility of the starch/EVA biologic materials accurately,and the expansibility gradually increases with the increase of screw speed.When the screw speed is 320r/min,expansibility reaches its maximum.The expansibility also increases with the rising of die temperature and reaches its maximum at 140℃.Moisture content also has significant influence on the expansibility of the starch/EVA foam materials.