Versaci Mario, Angiulli Giovanni, Crucitti Paolo, De Carlo Domenico, Laganà Filippo, Pellicanò Diego, Palumbo Annunziata
DICEAM Department, "Mediterranea" University, I-89122 Reggio Calabria, Italy.
DIIES Department, "Mediterranea" University, I-89122 Reggio Calabria, Italy.
Sensors (Basel). 2022 Jun 1;22(11):4232. doi: 10.3390/s22114232.
This paper presents an eddy current approach for testing, estimating, and classifying CFRP plate sub-surface defects, mainly due to delamination, through specific 2 magnetic induction field amplitude maps. These maps, showing marked fuzziness content, require the development of a procedure based on a fuzzy approach being efficiently classified. Since similar defects produce similar maps, we propose a method based on innovative fuzzy similarity formulations. This procedure can collect maps similar to each other in particular defect classes. In addition, a low-cost analysis system, including the probe, has been implemented in hardware. The developed tool can detect and evaluate the extent of surface defects with the same performance as a hardware tool of higher specifications, and it could be fruitfully employed by airline companies to maintain aircraft in compliance with safety standards.
本文提出了一种通过特定的两个磁感应强度幅值图来检测、估计和分类碳纤维增强塑料(CFRP)板表面下缺陷(主要是分层缺陷)的涡流方法。这些显示出明显模糊度的图需要开发一种基于模糊方法的程序来进行有效分类。由于相似的缺陷会产生相似的图,我们提出了一种基于创新模糊相似性公式的方法。该程序可以收集特定缺陷类别中彼此相似的图。此外,还在硬件中实现了一个包括探头的低成本分析系统。所开发的工具能够以与更高规格硬件工具相同的性能检测和评估表面缺陷的程度,航空公司可以有效地使用它来使飞机保持符合安全标准。