Using Clustering of Acoustic Emission Signals on Damage Mechanisms Analysis of Quasi-isotropic Selfreinforced Polyethylene Composites

摘要：

Acoustic emission (AE) was used to monitor the damage process in quasi-isotropic self-reinforced polyethylene composites (UHMWPE/LDPE) under quasi-static tensile load. The collected AE signals were classified by using the unsupervised pattern recognition (PR) technique, to identify the various mechanisms in the composites. The fracture surfaces of the specimens were observed by a scanning electron microscope (SEM). By combining the best clustering results with the observation results, correlations were established between the AE signal classes and the damage modes. The initiation and progression of the damage was then reviewed by the cumulative AE hits of each damage mode versus strain curves. A reliable identification of AE signals and a clear view of damage mechanisms in the composites are obtained in this study.

关键词： UHMWPE/LDPE composites damage mechanisms pattern recognition acoustic emission

作者: YANG Biling WANG Xu ZHANG Huiping YAN Xiong

作者单位: The Key Laboratory of Textile Science and Technology, Ministry of Education, P. R. China, College of Textiles, Donghua University, Shanghai 201620, P. R. China

会议类型: 国际会议

会议名称: 2007年先进纤维与聚合物国际会议

会议地点: 上海

会议语种:英文

页码: 423-425

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）