摘要
针对传统超声A扫探伤风电叶片存在检测效率低、员工劳动强度大、仪器智能化不够等问题,开发了一套实时显示并保存当前位置信息、波形信息和C扫描彩图的超声扫查系统。给出了系统硬件框图、基于LabVIEW软件设计界面以及C扫描成像框图。分别制作了不同缺陷风电叶片主梁和腹板粘接模型,以模型背面左下角为探伤坐标原点,采用相同的扫查参数设置和速度,对系统进行了实验。实验结果表明,系统能够有效检测粘接区域缺陷的种类、轮廓和位置,且运行稳定可靠。
In order to solve the problems of traditionally testing wind turbine blade by ultrasonic A-scan, such as low detection efficiency, high labor intensity and insufficient intelligence of the instrument, a set of ultrasonic scan detection system is developed, which can real-time display and save the position information, waveform information and C-scan imaging. The system hardware block diagram, software design interface based on LabVIEW and C-scan imaging block diagram are given. Bonding models with different defects of the spar caps and shear webs of wind turbine blades were fabricated respectively. The detection origin was located at the lower left corner of the back of bonding models. Experiments were carried out on the system by using the same scanning parameter setting and speed. The experimental results show that the system can effectively test the type,contour and location of bonding defects with a stable and reliable operation.
作者
顾兴旺
李婷
龙士国
王子菡
蔡朦
GU Xing-wang;LI Ting;LONG Shi-guo;WANG Zi-han;CAI Meng(School of Materials Science and Engineering,Xiangtan University,Xiangtan 411105,China)
出处
《测控技术》
CSCD
2018年第8期121-125,共5页
Measurement & Control Technology
基金
湘潭大学校企产学研合作项目(XCJS-C1-20160008)
