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320 r/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.
参考文献
| [1] | 王会才,崔永岩.影响淀粉发泡的因素[J].现代塑料加工应用,2003,16(1):50-54.Wang Huicai,Cui Yongyan.The factors influencing of starch foaming process[J].Modern Plastics Processing and Applications,2003,16(1):50-54. |
| [2] | Miladinov V D,Hanna M A.Temperature and ethanol effects on the properties of extruded modified starch[J].Industrial Crops and Products,2001,13(1):21-28. |
| [3] | 丛 爽.面向MATLAB工具箱的神经网络理论与应用[M].北京:科学出版社,2005:196-199.Cong Shuang.Model predictive control theory and application under MATLAB environment[M].Beijing:Science Press,2005:196-199. |
| [4] | 林新波,张质良,阮雪榆.利用BP神经网络预测材料温锻流动应力[J].上海交通大学学报,2002,36(4):459-462.Lin Xinbo,Zhang Zhiliang,Ruan Xueyu.Prediction of material flow stress in warm forging with BP neural network[J].Journal of Shanghai Jiaotong University,2002,36(4):459-462. |
| [5] | 刘守纪,马万珍,张晗.基于人工神经网络的HDPE流变性能预测与研究[J].塑料,2005,34(3):93-99.Liu Shouji,Ma Wanzhen,Zhang Han.Prediction and research of HDPE rheological properties based on artificial neural networks[J].Plastics,2005,34(3):93-99. |
| [6] | Malinov S,Sha W.Neural network application in the alloy process performance prediction[J].Materials Science and Engieering,2004,365(1-2):375. |
| [7] | 全国文献工作标准化技术委员会.GB/T 6342-1996泡沫塑料与橡胶线性尺寸的测定[S].北京:中国标准出版社,1996.The National Standardization Technical Committee Literature Work.GB/T 6342-1996 Celluar plastics and rubbers—determination of linear dimension[S].Beijing:Standards Press of China,1996. |
| [8] | 何晓凤,周红标.基于GA-BP的混凝土抗压强度预测研究[J].淮阴工学院学报,2011,20(3):21-25.He Xiaofeng,Zhou Hongbiao.Prediction of concrete compressive strength based on GA-BP[J].Journal of Huaiyin Institute of Technology,2011,20(3):21-25. |
| [9] | 王利霞,张娜,申长雨,等.应用Taguchi实验设计法最小化注塑成型制品沉降斑[J].塑料工业,2004,32(4):26-28.Wang Lixia,Zhang Na,Shen Changyu,et al.Minimization of sink mark of plastics injection molded part by Taguchi method[J].China Plastics Industry,2004,32(4):26-28. |
| [10] | 李烁,徐元铭,张俊.基于神经网络响应面的复合材料结构优化设计[J].复合材料学报,2005,22(5):134-140.Li Shuo,Xu Yuanming,Zhang Jun.Composite structural optimization design based on neural network response surfaces[J].Acta Materiae Compositae Sinica,2005,22 (5):134-140. |
| [11] | 郑生荣,辛勇,杨国泰,等.人工神经网络在注塑参数预测中的应用[J].塑料工业,2003,31(10):26-29.Zheng Shengrong,Xin Yong,Yang Guotai,et al.Application of artificial neural network in prediction of injection parameters[J].China Plastics Industry,2003,31 (10):26-29. |
| [12] | 陈桂明,戚红雨,潘伟.MATLAB数理统计(6.x)[M].北京:科学出版社,2002:23-28.Chen Guiming,Qi Hongyu,Pan Wei.MATLAB mathematical statistics (6.x)[M].Beijing:Science Press,2002:23-28. |
| [13] | 邱威扬,喻继文,陈云.全淀粉热塑性塑料的研制[J].塑料工业,1998,26(4):106-108.Qiu Weiyang,Yu Jiwen,Chen Yun.Development of Al lstarch thermoplastics[J].Plastics Industry,1998,26 (4):106-108. |
| [14] | Chinnaswamy R,Hanna M A.Optimum extrusion-cooking conditions for maximum expansion of corn srarch[J].Journal of Food Science,1988,53(3):834-836. |
上一张
下一张
上一张
下一张
计量
- 下载量()
- 访问量()
文章评分
- 您的评分：
-
10%
-
20%
-
30%
-
40%
-
50%