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首页> 外文期刊>Optics and Lasers in Engineering >Long distance laser ultrasonic propagation imaging system for damage visualization
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Long distance laser ultrasonic propagation imaging system for damage visualization

机译：用于损伤可视化的长距离激光超声传播成像系统

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摘要

Wind turbine blade failure is the most prominent and common type of damage occurring in operating wind turbine systems. Conventional nondestructive testing systems are not available for in situ wind turbine blades. We propose a portable long distance ultrasonic propagation imaging (LUPI) system that uses a laser beam targeting and scanning system to excite, from a long distance, acoustic emission sensors installed in the blade. An examination of the beam collimation effect using geometric parameters of a commercial 2 MW wind turbine provided Lamb wave amplitude increases of 41.5 and 23.1 dB at a distance of 40 m for symmetrical and asymmetrical modes, respectively, in a 2 mm-thick stainless steel plate. With this improvement in signal-to-noise ratio, a feasibility study of damage detection was conducted with a 5 mm-thick composite leading edge specimen. To develop a reliable damage evaluation system, the excitation/sensing technology and the associated damage visualization algorithm are equally important. Hence, our results provide a new platform based on anomalous wave propagation imaging (AWPI) methods with adjacent wave subtraction, reference wave subtraction, reference image subtraction, and the variable time window amplitude mapping method. The advantages and disadvantages of AWPI algorithms are reported in terms of reference data requirements, signal-to-noise ratios, and damage evaluation accuracy. The compactness and portability of the proposed UPI system are also important for in-field applications at wind farms.
机译：风力涡轮机叶片故障是运行中的风力涡轮机系统中发生的最突出和最常见的损坏类型。常规的非破坏性测试系统不适用于原位风力涡轮机叶片。我们提出一种便携式长距离超声传播成像（LUPI）系统，该系统使用激光束瞄准和扫描系统从长距离激励安装在叶片中的声发射传感器。使用商用2 MW风力涡轮机的几何参数检查光束准直效果，在2 mm厚的不锈钢板上，对称和非对称模式下，在40 m距离处的兰姆波幅度分别增加41.5和23.1 dB 。随着信噪比的提高，使用5 mm厚的复合材料前缘样品进行了损伤检测的可行性研究。为了开发可靠的损伤评估系统，激励/传感技术和相关的损伤可视化算法同等重要。因此，我们的结果提供了一个基于异常波传播成像（AWPI）方法的新平台，该方法具有相邻波减法，参考波减法，参考图像减法以及可变时间窗幅度映射方法。 AWPI算法的优缺点在参考数据要求，信噪比和损伤评估精度方面进行了报道。拟议的UPI系统的紧凑性和便携性对于风电场的现场应用也很重要。

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