Model and analysis of flexural properties of Al2O3 ceramic prepared by centrifugal slip casting using BP neural network model

摘要：

　　BP neural network model was developed for prediction of the flexural properties of Al2O3 ceramic prepared by centrifugal slip casting.In this paper,the model can well reflect the relationship between the process parameters including solid content of Al2O3 ceramic slurries (w),centrifugal acceleration (v),sintering temperature (T) and flexural properties of sintered products including fracture strength (σ) and fracture toughness (KIC).According to the registered BP model,the effects of w,v and T on σ and KIC were analyzed.The predicted results agree with the actual data within reasonable experimental error,which shows that the BP model is a practically very useful tool in the flexural properties prediction of the Al2O3 ceramic prepared by centrifugal slip casting.The system reduces the time required for planning and optimizing of centrifugal process parameters.

关键词： BP neural network flexural properties Al2O3 ceramic centrifugal slip casting

作者: Jing-yuan YU Qiang Li Xudong Sun

作者单位: College of Materials Science & Engineering, Liaoning University of Technology, Jinzhou 121001 College of Materials Science & Engineering, Liaoning University of Technology, Jinzhou 121001; The K Key Laboratory for Anisotropy and Texture of Materials, Ministry of Education, Northeastern Universi

会议类型: 国际会议

会议名称: the 2012 International Conference on Frontiers of Advanced Materials and Engineering Technology (2012年先进材料与工程技术国际会议(FAMET 2012))

会议地点: 厦门

会议语种:英文

页码: 664-668

在线出版日期: 2012-01-04（万方平台首次上网日期，不代表论文的发表时间）