Smetana Milan, Gombarska Daniela, Psenakova Zuzana
Department of Electromagnetic and Biomedical Engineering, Faculty of Electrical Engineering and Information Technology, University of Zilina, Univerzitna 8215/1, 010 26 Zilina, Slovakia.
Sensors (Basel). 2023 Jul 1;23(13):6085. doi: 10.3390/s23136085.
The article discusses the practical application of the method of electromagnetic non-destructive investigation of austenitic materials. To identify and evaluate deep artificial defects, the sweep-frequency eddy current method with harmonic excitation is used. The objects of interest are the surface electric-discharged machined notches, with a defined geometry, fabricated in a plate with a thickness of 30 mm. An innovative eddy current probe with a separate excitation and detection circuit is used for the investigation. The achieved results clearly demonstrate the robustness and potential of the method, especially for deep defects in thick material. By using the fifth probe in connection with the frequency sweeping of eddy currents, it is possible to reliably detect artificial defects up to 24 ± 0.5 mm deep by using low-frequency excitation signals. An important fact is that the measuring probe does not have to be placed directly above the examined defect. The experimental results achieved are presented and discussed in this paper. The conducted study can serve, for example, as an input database of defect signals with a defined geometry to increase the convergence of learning networks and for the prediction of the geometry of real (fatigue and stress-corrosion) defects.
本文讨论了奥氏体材料电磁无损检测方法的实际应用。为了识别和评估深层人工缺陷，采用了谐波激励扫频涡流法。研究对象是在厚度为30mm的板材上加工出的具有特定几何形状的表面电火花加工槽口。采用了一种具有独立激励和检测电路的创新型涡流探头进行检测。所取得的结果清楚地证明了该方法的稳健性和潜力，特别是对于厚材料中的深层缺陷。通过使用第五个探头并结合涡流频率扫描，利用低频激励信号可以可靠地检测深度达24±0.5mm的人工缺陷。一个重要的事实是，测量探头不必直接放置在所检测缺陷的上方。本文展示并讨论了所取得的实验结果。例如，所进行的研究可以作为具有特定几何形状的缺陷信号的输入数据库，以提高学习网络的收敛性，并用于预测实际（疲劳和应力腐蚀）缺陷的几何形状。
