Artificial neural networks in prediction of mechanical behavior of high performance plastic composites

摘要：

　　Using a feed-forward artificial neural network (ANN),the tensile strength of a series of poly(phthalazinone ether sulfone ketone)(PPESK) blended with different contents of polyetheretherketone(PEEK),polysulfone(PSF),polyphenylene sulide (PPS) and reinforced with various amounts of whisker(TK) composites has been predicted based on a measured database.Compared with the experimental results,the maximum error obtained is not more than 0.8%.It is concluded that the predicted data are well acceptable.A well-trained ANN is expected to be very helpful mathematical tool in the structure-property analysis of polymer composites.Finally,using ANN modeling data and experimental data,the tensile strength properties related to whisker weight percent were established.

关键词： artificial neural network composites ANN

作者: W.He G.H.Bao T.J.Ge A.S.Luyt X.G.Jian

作者单位: Research Center of Plastics Engineering,Shenyang University of Chemical Technology,Shenyang 110142 C Research Center of Plastics Engineering,Shenyang University of Chemical Technology,Shenyang 110142 C Research Center of Plastics Engineering,Shenyang University of Chemical Technology,Shenyang 110142 C University of the Free State(Qwaqwa Campus),9866 Phuthaditjhaba,South Africa Dalian University of Technology,Dalian 116012 China

会议类型: 国际会议

会议名称: the Asian Workshop on Polymer Processing 2011(2011高分子加工技术亚洲研讨会(AWPP2011))

会议地点: 青岛

会议语种:英文

页码: 27-31

在线出版日期: 2011-11-04（万方平台首次上网日期，不代表论文的发表时间）