Artificial neural networks in prediction of mechanical behavior of high performance plastic composites
文献类型：会议论文
| 作者 | He W(何伟); Bao GH(保功辉); Ge TJ(葛铁军); Luyt, A.S.; Jian, X.G. |
| 出版日期 | 2011 |
| 会议名称 | Asian Workshop on Polymer Processing 2011, AWPP2011 |
| 会议日期 | November 4-7, 2011 |
| 会议地点 | Qingdao, China |
| 关键词 | Composite materials Ethers Polymers |
| 页码 | 27-31 |
| 中文摘要 | 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. © (2012) Trans Tech Publications. |
| 收录类别 | EI |
| 产权排序 | 1 |
| 会议主办者 | Qingdao Municipal Government; National Natural Science Foundation of China; Japan Society of Polymer Processing; Shandong Provincial Key Laboratory Of Polymer Material; Advanced Manufacturings Technology |
| 会议录 | Key Engineering Materials
 |
| 会议录出版者 | Trans Tech Publications Ltd, |
| 会议录出版地 | Zurich-Durnten, Switzerland |
| 语种 | 英语 |
| ISSN号 | 1013-9826 |
| ISBN号 | 978-3-03785-354-2 |
| 源URL | [http://ir.sia.cn/handle/173321/10514]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 推荐引用方式 GB/T 7714 | He W,Bao GH,Ge TJ,et al. Artificial neural networks in prediction of mechanical behavior of high performance plastic composites[C]. 见:Asian Workshop on Polymer Processing 2011, AWPP2011. Qingdao, China. November 4-7, 2011. |
入库方式： OAI收割
来源：沈阳自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。