Acoustic emission characterization of damage modes in self-reinforced polyethylene composites
Unsupervised pattern recognition (UPR) technique was used to classify the AE signals collected from the damage process of different lay-up of self-reinforced polyethylene (PE/PE) composites, in order to obtain typical waveforms of diverse damage modes reliably. Pure resin and fiber bundles were also tested for this task. Typical waveforms of matrix cracking, fiber-matrix debonding, fiber fracture and fiber pullout were presented and characterized respectively. Fast Fourier Transform analysis was also used for the characterization. This characteristic information can be used for the identification of damage mechanisms in the PE/PE composites. And the analytical procedure can be exploited to investigate other failure modes in composite materials.
YANG Biling ZHANG Tonghua
Department, Guangdong Institute of Textile Technology, Foshan 528041, P.R.China College of Textiles & Garments, Southwest University, Chongqing 400715, P.R.China
国际会议
2009 International Conference on Advanced Fibers and Polymer Materials(2009年先进纤维与聚合物材料国际学术会议)
上海
英文
374-376
2009-10-21（万方平台首次上网日期，不代表论文的发表时间）