Ultrasonic inspection of the surface crack for the main shaft of a wind turbine from the end face

Ultrasonic inspection of the surface crack for the main shaft of a wind turbine from the end face
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风电机组主轴端面表面裂纹超声检测

DOI:
10.1016/j.ndteint.2020.102283
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发表时间:
2020-09
影响因子:
4.2
通讯作者:
Wu Long
Wu Long
中科院分区:
材料科学1区
文献类型:
--
作者:
Cheng Jun;Cunfu He;Yan Lyu;Yang Zheng;Xie Longyang;Wu Long

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摘要风机主轴的完整性对风机的安全运行起着至关重要的作用。在风力发电机组中,主轴和轴承装配处经常发生应力集中。因此,外周横向裂缝的表面破裂成为主要的危险源。针对裂纹信号识别中容易混淆的端面回波,建立了一种有限元模型来分析端面回波。本文将详细研究超声波的传播及其在井筒边界上的反射。对裂纹回波振幅与压电换能器径向位置之间的关系进行了全面的探索和优化。然后,建立了从端面对主轴进行超声检测的方法。进行了轴表面裂纹检测的圆扫描实验。结果表明:轴的总尺寸为Φ600mm×1285mm,但裂纹深度小于5mm;在高应力区的所有人工裂缝都被b扫描成像检测到,它显示了缺陷的位置。本研究将为风力机轴的定期检测提供一种有效的技术手段。
Abstract The integrity of the main shaft plays a significant role in the safety of wind turbine. Stress concentration often occurs where the main shaft and the bearing are assembled in the wind turbine. The surface breaking of transverse crack on the outer circumference thus becomes a major dangerous source. In this research, a finite element (FE) model is developed to analysis the echoes on the end face, which are often confused in the identification of the crack signals. The propagation of ultrasonic waves and its reflection on the shaft boundary will be investigated in details. The relationship between the amplitude of the crack echo and the radial position of the piezoelectric transducer is explored optimized comprehensively. Then, an ultrasonic measurement methodology are established for the examination of the main shaft from the end face. A circular scanning experiment for the shaft testing on surface cracks have been implemented. The results show that the crack depth less than 5mm can be examined, although the total size of the shaft is Φ600mm×1285mm. All artificial cracks in the high-stress zone have been detected with the aid of a B-scan imaging, which reveals the position of defects. This research will provide an effective regular inspection technique for the wind turbine shaft examination.
DOI: 10.1063/1.3592101
发表时间: 2011-06
影响因子: 4.2
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