个人信息Personal Information
副教授
博士生导师
硕士生导师
性别:男
毕业院校:中国科学院声学研究所
学位:博士
所在单位:材料科学与工程学院
学科:材料无损检测与评价
办公地点:材料馆236
联系方式:0411-84706049
电子邮箱:jinshijie@dlut.edu.cn
Recurrence quantitative analysis for porosity characterization of CFRP with complex void morphology
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论文类型:期刊论文
发表时间:2019-12-01
发表刊物:COMPOSITE STRUCTURES
收录刊物:EI、SCIE
卷号:229
ISSN号:0263-8223
关键字:Carbon Fibre Reinforced Plastics (CFRP); Porosity; Ultrasonic backscattered signal; Recurrence quantitative analysis (RQA); Real Morphology Void Model (RMVM); Void morphology
摘要:The porosity characterization of Carbon Fibre Reinforced Plastics (CFRP) by ultrasonic attenuation measurement is restricted when the back-wall echoes are weak or absent at high porosity, and the estimation accuracy is decreased with increment of porosity due to complex void morphology. In this paper, Real Morphology Void Models (RMVMs) with different porosity were established to simulate the interaction between ultrasonic waves and voids with complex morphology. Subsequently, Recurrence Quantification Analysis (RQA) was introduced to process ultrasonic backscattered signals generated by voids so as to present Recurrence Plots (RPs) for porosity characterization. Recurrence Rate (RR) was selected as RQA variable to quantitatively analyze RPs, avoiding the determination of additional parameters. The correlation between porosity P and RR was revealed by simulation for the first time, and verified by experiments with CFRP laminates having porosity of 0.8%-4.2%. The complex and random void morphology induced the non-mapping relationship between P and RR, influencing estimation accuracy of porosity. The normalized results indicated that porosity characterization with RR was less affected by void morphology for P > 1.97% in comparison with ultrasonic attenuation measurement. It is concluded that RQA is valuable for porosity characterization of CFRP with high porosity and strong attenuation.