Application of ANN Back-Propagation for Residual Stress in An Alloy Reinforced Ceramics/Metal Composite

摘要：

　　Artificial neural network (ANN) back-propagation model was developed to predict the thermal expansion behavior and internal residual strains in reinforced ceramic matrix composites (CMCS).The ANN training model has been used to predict the thermal expansion behavior and internal residual strains,exhibiting excellent comparison with the experimental results.It was concluded that predicted thermal expansion behavior and internal residual strains by the trained neural network model seem more reasonable compared to approximate methods.It is possible to claim that,ANN is fairly promising prediction technique if properly used.Training ANN model was introduced at first.And then the neural network architecture is designed.The performance of system is summarized at last.In order to facilitate the comparisons of predicted values,the error evaluation and mean relative error are obtained.The result shows that the training model has good performance,and the experimental data and predicted data from ANN are in good coherence.

关键词： Ceramic composites Residual stress ANN Al2O3/A356 CMCs

作者: Hong-yan Duan You-tang Li Chunli Lei Guiping He

作者单位: Key Laboratory of Digital Manufacturing Technology and Application, The Ministry of Education,Lanzhou University of Technology, Lanzhou, 730050, China; School of Mechanical and Electronical Engineering, Lanzhou University of Technology, Lanzhou,730050, China

会议类型: 国际会议

会议名称: The Sixth China International Conference on High-Performance Ceramics(第六届中国先进陶瓷国际研讨会(CICC-6))

会议地点: 哈尔滨

会议语种:英文

页码: 154-157

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）