PREDICTION AND ANALYSIS OF SULFURED NBR AGING IN GLYCOL BASED ON ARTIFICIAL NEURAL NETWORKS

摘要：

High temperature accelerated aging was adopted to investigate mechanical properties changes of sulfured nitrile-butadiene rubber (NBR) in glycol at 70℃, 90℃, 110℃. Based on the experimental data, a BP neural network model for predicting the aging of NBR was developed by using time and temperature as the input variables and the properties as output variables. The predicted data, which is in good agreement with the test one, is used for creating 3D surface plots and contour plots. This paper discussed the change rules of the properties through analyzing these plots. By compared with the change of the cross-section microstructure, it was found that the rules were well in accordance with the actual situation.

作者: Zhu Liqun Gu An Huang Huijie

作者单位: School of Materials Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

会议类型: 国际会议

会议名称: 第九届工程结构完整性国际会议(The Ninth International Conference on Engineering Structural Integrity Assessment)

会议地点: 北京

会议语种:英文

在线出版日期: 2007-10-15（万方平台首次上网日期，不代表论文的发表时间）