Pellicanó Diego, Palamara Isabella, Cacciola Matteo, Calcagno Salvatore, Versaci Mario, Morabito Francesco Carlo
IEEE Trans Ultrason Ferroelectr Freq Control. 2013 Sep;60(9):1917-27. doi: 10.1109/TUFFC.2013.2776.
The systematic use of nondestructive testing assumes a remarkable importance where on-line manufacturing quality control is associated with the maintenance of complex equipment. For this reason, nondestructive testing and evaluation (NDT/NDE), together with accuracy and precision of measurements of the specimen, results as a strategic activity in many fields of industrial and civil interest. It is well known that nondestructive research methodologies are able to provide information on the state of a manufacturing process without compromising its integrity and functionality. Moreover, exploitation of algorithms with a low computational complexity for detecting the integrity of a specimen plays a crucial role in real-time work. In such a context, the production of carbon fiber resin epoxy (CFRP) is a complex process that is not free from defects and faults that could compromise the integrity of the manufactured specimen. Ultrasonic tests provide an effective contribution in identifying the presence of a defect. In this work, a fuzzy similarity approach is proposed with the goal of localizing and classifying defects in CFRP in terms of a sort of distance among signals (measure of ultrasonic echoes). A field-programmable gate array (FPGA)-based board will be also presented which implements the described algorithms on a hardware device. The good performance of the detection and classification achieved assures the comparability of the results with the results obtained using heuristic techniques with a higher computational load.
在在线制造质量控制与复杂设备维护相关联的情况下，系统地使用无损检测具有显著的重要性。因此，无损检测与评估（NDT/NDE）以及试样测量的准确性和精度，在许多工业和民用领域中成为一项战略活动。众所周知，无损研究方法能够在不损害制造过程完整性和功能性的情况下提供有关制造过程状态的信息。此外，利用计算复杂度低的算法来检测试样的完整性在实时工作中起着至关重要的作用。在这种背景下，碳纤维树脂环氧树脂（CFRP）的生产是一个复杂的过程，难免会出现可能损害制造试样完整性的缺陷和故障。超声检测在识别缺陷的存在方面提供了有效的帮助。在这项工作中，提出了一种模糊相似性方法，旨在根据信号之间的某种距离（超声回波的度量）对CFRP中的缺陷进行定位和分类。还将展示一种基于现场可编程门阵列（FPGA）的板卡，该板卡在硬件设备上实现所描述的算法。所实现的检测和分类的良好性能确保了结果与使用计算负载较高的启发式技术获得的结果具有可比性。
