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Three-dimensional profile reconstruction of a natural SCC colony through electromagnetic NDT methods

通过电磁无损检测方法重建天然 SCC 菌落的三维轮廓

基本信息

批准号：
19F19045
负责人：
遊佐訓孝
金额：
$ 1.41万
依托单位：
Tohoku University
依托单位国家：
日本
项目类别：
Grant-in-Aid for JSPS Fellows
财政年份：
2019
资助国家：
日本
起止时间：
2019-07-24 至 2022-03-31
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-19F19045/
关键词：
SCC colony inversion problem rotating eddy currents complex crack space mapping algorithm

项目摘要

1) Obtained the three-dimensional profile of stress corrosion crack colonies through the proposed inversion problem algorithm. We found that heuristic learning algorithms such as genetic algorithm and ant colony algorithm were not effective in depth sizing inversion problem using the signal of eddy current testing. Through simulation method, we confirmed that employing three dimensional magnetic signals did not improve the depth sizing accuracy.2) Studied the detection of crack colonies using uniform and rotating eddy current testing techniques in high speed. The simulation and experiment results indicate that uniform and rotating eddy current testing were less sensitive to speed than traditional eddy current testing.3) Compared the performance of uniform and rotating eddy current techniques through probability of detection analysis. Moreover, the mechanism of rotating eddy current was studied further. The results indicated that rotating eddy current testing is not always better than uniform eddy current testing. The orientation of eddy current should be selected.4) The proposed algorithm for transforming the results of rotating eddy current testing to ones of uniform eddy current testing was tested on ferromagnetic material. The results indicated that the algorithm is also effective. When detecting ferromagnetic material, we can separate the magnetic signals of disturbed eddy current and magnetic flux leakage.5) Finished the whole work in Japan and submitted finial report to JSPS.

1)通过提出的反演问题算法获得应力腐蚀裂纹菌落的三维轮廓。研究发现，遗传算法和蚁群算法等启发式学习算法在涡流检测信号深度尺寸反演问题中效果不佳。通过仿真方法，我们证实了采用三维磁信号并不能提高深度尺寸的精度。2)研究了高速均匀旋转涡流检测技术对裂纹菌落的检测。仿真和实验结果表明，与传统涡流检测相比，均匀涡流和旋转涡流检测对转速的敏感性较低。3)通过检测概率分析，比较了均匀涡流技术和旋转涡流技术的性能。进一步研究了旋转涡流的产生机理。结果表明，旋转涡流检测并不总是优于均匀涡流检测。应选择涡流的方向。4)将提出的旋转涡流检测结果转化为均匀涡流检测结果的算法在铁磁材料上进行了试验。结果表明，该算法是有效的。在检测铁磁材料时，可以将扰动涡流和漏磁信号分离开来。5)在日本完成全部工作，并向JSPS提交结案报告。