scholarly journals Referencing technique for phase detection in eddy current evaluation

2021 ◽  
Vol 15 (4) ◽  
pp. 8608-8616
Author(s):  
Nurul A'in Nadzri ◽  
Mohd Mawardi Saari ◽  
Mohd Aufa Hadi Putera Zaini ◽  
Zulkifly Abd Aziz

This paper presents an eddy current testing (ECT) method with a different type of referencing technique for crack detection in carbon steel plate by using two Anisotropic Magnet Resistance (AMR) sensors to detect and evaluate the artificial cracks and to study the output signal's characteristics of each technique. The experiment setup of the magnetic scanning device and the measurement mode is included. Based on these three techniques that have been used, it shown that differential technique with the condition of the required reference signal must be dynamic from one point to one point was the best way to implement in the ECT method. The line scanning results indicate that performing these three techniques can be used to estimate the position of the slits, however, for 2-D mapping, it is shown that the differential technique is a preferable technique where it can remove the noise response, and at the same time, it generates a clear image of the crack. It is predicted that the developed ECT probe using a differential technique can be used as a technique to estimate the characteristic of defects in a metal plate.

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5515
Author(s):  
Linnan Huang ◽  
Chunhui Liao ◽  
Xiaochun Song ◽  
Tao Chen ◽  
Xu Zhang ◽  
...  

The uneven surface of the weld seam makes eddy current testing more susceptible to the lift-off effect of the probe. Therefore, the defect of carbon steel plate welds has always been a difficult problem in eddy current testing. This study aimed to design a new type of eddy current orthogonal axial probe and establish the finite element simulation model of the probe. The effect of the probe structure, coil turns, and coil size on the detection sensitivity was simulated. Further, a designed orthogonal axial probe was used to conduct a systematic experiment on the weld of carbon steel specimens, and the 0.2 mm width and 1 mm depth of weld defects of carbon steel plates were effectively detected. The experimental results showed that the new orthogonal axial eddy current probe effectively suppressed the unevenness effect of the weld surface on the lift-off effect during the detection process.


2014 ◽  
Vol 536-537 ◽  
pp. 1021-1025
Author(s):  
Jun Lv

This document explains and demonstrates based on eddy current testing of automotive wheel crack detection platform design, introduces the crack detection units overall structure and function. Detection station control systems, pneumatic systems, marking systems and circuit design system are described.


2020 ◽  
Vol 10 (24) ◽  
pp. 8796
Author(s):  
Yuedong Xie ◽  
Jiyao Li ◽  
Yang Tao ◽  
Shupei Wang ◽  
Wuliang Yin ◽  
...  

Titanium alloy is widely used in the area of aerospace and aviation due to its excellent properties. Eddy current testing (ECT) is among the most extensively used non-destructive techniques for titanium alloy material inspection. However, most previous research has focused on inspecting defects far from the edge of the material. It is a challenging task for edge crack detection because of edge effect. This study aims to investigate the influences of sensor parameters on edge effect and defect detection capability, and in the meantime, optimize sensor parameters to improve the capability of edge defect detection. The simulation method for edge effect evaluation is proposed including the 2k factorial design used for factor screening, and the regression model is fitted and validated for sensor design and optimization for edge defect detection. A simulation scheme is designed to investigate the defect detection capability. An approach comprehensively analyzing the influence of coil parameters on edge effect and defect detection capability is applied to determine the optimal coil parameters for edge defect detection.


2013 ◽  
Vol 54 (1) ◽  
pp. 90-95 ◽  
Author(s):  
Jing Wang ◽  
Noritaka Yusa ◽  
Hongliang Pan ◽  
Toshiyuki Takagi ◽  
Hidetoshi Hashizume

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