Delrue Steven, Aleshin Vladislav, Sørensen Mikael, Lathauwer Lieven De
Wave Propagation and Signal Processing Research Group, KU Leuven Kulak, 8500 Kortrijk, Belgium.
Joint International Laboratory LICS/LEMAC, Institute of Electronics, Microelectronics and Nanotechnologies, UMR CNRS 8520, 59 652 Villeneuve d'Ascq CEDEX, France.
Sensors (Basel). 2017 Apr 22;17(4):930. doi: 10.3390/s17040930.
The importance of Non-Destructive Testing (NDT) to check the integrity of materials in different fields of industry has increased significantly in recent years. Actually, industry demands NDT methods that allow fast (preferably non-contact) detection and localization of early-stage defects with easy-to-interpret results, so that even a non-expert field worker can carry out the testing. The main challenge is to combine as many of these requirements into one single technique. The concept of acoustic cameras, developed for low frequency NDT, meets most of the above-mentioned requirements. These cameras make use of an array of microphones to visualize noise sources by estimating the Direction Of Arrival (DOA) of the impinging sound waves. Until now, however, because of limitations in the frequency range and the lack of integrated nonlinear post-processing, acoustic camera systems have never been used for the localization of incipient damage. The goal of the current paper is to numerically investigate the capabilities of locating incipient damage by measuring the nonlinear airborne emission of the defect using a non-contact ultrasonic sensor array. We will consider a simple case of a sample with a single near-surface crack and prove that after efficient excitation of the defect sample, the nonlinear defect responses can be detected by a uniform linear sensor array. These responses are then used to determine the location of the defect by means of three different DOA algorithms. The results obtained in this study can be considered as a first step towards the development of a nonlinear ultrasonic camera system, comprising the ultrasonic sensor array as the hardware and nonlinear post-processing and source localization software.
近年来,无损检测(NDT)对于检查不同工业领域材料完整性的重要性显著提高。实际上,工业界需要无损检测方法,能够快速(最好是非接触式)检测和定位早期缺陷,且结果易于解读,以便即使是非专业领域的工作人员也能进行检测。主要挑战在于将尽可能多的这些要求整合到一种单一技术中。为低频无损检测开发的声学相机概念满足了上述大多数要求。这些相机利用麦克风阵列,通过估计入射声波的到达方向(DOA)来可视化噪声源。然而,到目前为止,由于频率范围的限制以及缺乏集成的非线性后处理,声学相机系统从未用于早期损伤的定位。本文的目标是通过使用非接触式超声传感器阵列测量缺陷的非线性空气传播发射,对早期损伤定位能力进行数值研究。我们将考虑一个具有单个近表面裂纹的样本的简单情况,并证明在对缺陷样本进行有效激励后,均匀线性传感器阵列可以检测到非线性缺陷响应。然后利用这些响应通过三种不同的到达方向算法确定缺陷的位置。本研究获得的结果可被视为朝着开发非线性超声相机系统迈出的第一步,该系统包括作为硬件的超声传感器阵列以及非线性后处理和源定位软件。