EXPLORATION OF WIND TURBINE BLADE′S BONDING AREADETECTING USING ULTRASONIC TECHNIQUE

Abstract

Abstract: It is difficult to detect and locate the internal defects in bonding area of the wind turbine blade accurately by traditional methods, such as visual inspection and tapping test, while their development will lead to the breakdown of blades and cause a potential failure of wind energy plants. In this paper, a kind of nondestructive detecting technique, called Ultrasound-Echo, is applied to detect and localize the defects in the glass fiber reinforced plastic (GFRP) bonding area between spar-cap and shear web. The result of scanning analysis shows, the thick sound attenuating GFRP laminate could be penetrated by ultrasound and echo information of the bonding area could be obtained. Therefore, the application of this method in non-destructive inspection of wind turbine blades has certain feasibility.

Key words: wind turbine blades, Ultrasound-Echo, defects, missing bond, kissing-bond

CLC Number:

TB332

AN Jing, XU Yu, ZHANG Shu-li, XIE Cun-cun. EXPLORATION OF WIND TURBINE BLADE′S BONDING AREADETECTING USING ULTRASONIC TECHNIQUE[J]. COMPOSITES SCIENCE AND ENGINEERING, 2015, 0(3): 50-53.

References

[1] A. Jüngert, C. Große. Zerstörungsfreie robotergestützte Untersuchung der Rotorblätter von Windenergieanlagen mit Ultraschall und Thermographie[N]. ZfP-Zeitung, 2009(115):43-49.
[2] Anne JUENGERT, Christian U. GROSSE. Inspection techniques for wind turbine blades using ultrasound and sound waves[C]. NDTCE’09, Non-Destructive Testing in Civil Engineering Nantes, France, June 30th-July 3rd, 2009.
[3] Anne Jüngert. Untersuchung von GFK-Bauteilen mit akustischen Verfahren am Beispiel der Rotorblätter von Windenergieanlagen[D]. Institut für Werkstoffe im Bauwesen Materialprüfungsanstalt Universität Stuttgart, 2010. 23-36.
[4] 闫晓东. 飞机复合材料机构智能敲击检测系统研究[D]. 南京:南京航空航天大学,2007. 4-6.
[5] ANNE JÜNGERT. Damage Detection in Wind Turbine Blades using two Different Acoustic[J]. TechniquesNDT. net-The e-Journal of Nondestructive Testing, 2008.
[6] 徐阳. 兆瓦级大型风力发电机叶片的无损检测[J]. 玻璃钢/复合材料, 2013, 7-9.
[7] 陈大鹏, 张存林, 等. 超声热红外技术在无损检测领域中的应用[J]. 激光与红外, 2008, 8: 778-780.
[8] R.Raisutis, E.Jasiuniene, E.Zukauskas. Ultrasonic NDT of wind turbine blades using guided waves [J]. ULTRAGARSAS (ULTRASOUND), 2008, 63(1): 7-11.
[9] 陈桂才, 程茶园, 等. 复合材料胶结缺陷的数字成像检测研究[J]. 材料工程,2006,Z1:389-392.
[10] 王小永, 钱华. 先进复合材料中的主要缺陷与无损检测技术评价[J]. 无损探伤,2006, 30(4): 1-6.
[11] 羊森林, 赵萍, 王锋, 曹洪兵. 大型风电叶片缺陷及其无损检测技术研究[J]. 东方汽轮机,2012. 26-34.
[12] 罗婕, 路宏年. 复合材料超声检测中的回波时延估计方法[J]. 材料工程,2006,Z1:389-392.
[13] 何杰, 杜玲, 王冬生. 风电叶片的主要缺陷与无损检测技术评[J]. 玻璃钢,2013, (01):1-6.
[14] 王艳颖, 吴瑞明, 周晓军, 程耀东. 大型非对称复合材料构件超声C扫描技术研究[J]. 浙江大学学报,2004, 38(9): 1208-1212.
[15] 葛邦, 杨涛, 高殿斌, 李明. 复合材料无损检测技术研究进展[J]. 玻璃钢/复合材料,2009,209(6):67-71.