标题:Parameter optimization method for delamination defects detection of composite laminate using phased array ultrasonic [复合材料层压板分层缺陷相控阵超声检测参数优化方法]
作者:Cao, Hong-Yi ;Jiang, Ming-Shun ;Ma, Meng-Yuan ;Zhang, Fa-Ye ;Zhang, Lei ;Sui, Qing-Mei ;Jia, Lei
作者机构:[Cao, Hong-Yi ;Jiang, Ming-Shun ;Ma, Meng-Yuan ;Zhang, Fa-Ye ;Zhang, Lei ;Sui, Qing-Mei ;Jia, Lei ] School of Control Science and Engineering, Shandon 更多
通讯作者:Jiang, MingShun
通讯作者地址:[Jiang, M.-S] School of Control Science and Engineering, Shandong UniversityChina;
来源:Cailiao Gongcheng/Journal of Materials Engineering
出版年:2020
卷:48
期:9
页码:158-165
DOI:10.11868/j.issn.1001-4381.2019.000777
关键词:Activation aperture; Composite; Delamination defect; Phased array ultrasonic
摘要:Aiming at the problem of accurate identification of delamination defects of composite laminates, an optimization method of activation aperture of phased array ultrasonic testing was proposed by simulation and experiment, and the effects of the activation aperture on the acoustic field characteristics and detection results at different focusing depths were studied and analyzed. Firstly, for the phase array ultrasonic contact testing method, the multipoint source 3D acoustic field model under the solid-solid interface was deduced. Then, the phase array ultrasonic sound field was simulated, and the characteristics of sound field under different activation apertures were analyzed. Finally, the carbon fiber reinforced polymer (CFRP) laminate with delamination defects was prepared using autoclave process, and a phased array ultrasonic testing system was built to test the CFRP laminate test block. The experimental results show that the accurate identification of CFRP lamination defects can be achieved by optimizing the activation aperture of phased array ultrasound, and the defect detection accuracy can be improved effectively. © 2020, Journal of Materials Engineering. All right reserved.
收录类别:EI;SCOPUS
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091580794&doi=10.11868%2fj.issn.1001-4381.2019.000777&partnerID=40&md5=4f3d37291c8dd4d2af6bf9c98fb22d71
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