|
|
Synthetic Aperture Imaging Technology for Ultrasonic Spiral Scanning Detection of Metal Bars |
LI Zhenjie1,2, CAI Guixi1( ), ZHANG Bo1, LI Jingming1, LI Jiankui1 |
1 Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, China 2 School of Materials Science and Engineering, University of Science and Technology of China, Shenyang 110016, China |
|
Cite this article:
LI Zhenjie, CAI Guixi, ZHANG Bo, LI Jingming, LI Jiankui. Synthetic Aperture Imaging Technology for Ultrasonic Spiral Scanning Detection of Metal Bars. Acta Metall Sin, 2024, 60(4): 559-568.
|
Abstract Spiral scanning mode, where ultrasonic probes relatively rotate forward around a tested bar, is commonly used in an automatic ultrasonic testing system for metal bar quality control. Current nondestructive testing standards for bars with ultrasonic technology specify that whether the bar is rejected or accepted should be made in accordance with the amplitude of the echo from a defect in the bar. The quality information obtained by the abovementioned standard testing procedure is only the echo from the defect, and it is too simple to characterize the defect in detail and accurately. Therefore, inspection using imagery and quantitative nondestructive testing (QNDT) of bar quality is the development trend of bar quality control technology in the future. In achieving QNDT of metal round bars, a synthetic aperture focusing on imaging algorithm in a polar coordinate system (pSAFT) and its surrounding scan-mode time-domain synthetic aperture focusing technology (ST-SAFT) were proposed in accordance with the classical ultrasonic synthetic aperture focusing technology (SAFT) theory on a Cartesian coordinate system. Based on the signal set collected by the spiral scanning automatic detection system, the formula of time-delay superposition imaging expressed by the effective synthetic aperture radian was deduced to image the defects in the bar with a cross-sectional view. By preparing a transverse-hole artificial defect sample for the testing experiment, ultrasonic testing data were processed by ST-SAFT, and then a circular section tomography was imaged. Image edge recognition was used to quantitatively evaluate the sizing ability and positioning resolution of ST-SAFT for defect detection. Experimental results show that the measured value of artificial defects with ST-SAFT is equivalent to the real value; the positioning of the transverse side-drilled hole is accurate, and the imaging resolution is significantly better than that of B-scan. The imaging speed for each circular section can reach the order of milliseconds, which can match the mechanical scanning speed of bar inspection for one circle. Therefore, this technology can be used to improve the technical level of ultrasonic automatic testing equipment for metal round bars and ensure safety of the application of metal round bars.
|
Received: 07 March 2022
|
|
Fund: National Natural Science Foundation of China(31702393);National Natural Science Foundation of China(31702393);Natural Science Foundation of Liaoning Province(2019-MS-334) |
Corresponding Authors:
CAI Guixi, professor, Tel: 13709823129, E-mail: gxcai@imr.ac.cn
|
1 |
Liu X K, Yang S X, Liu Y Q, et al. Laser ultrasonic identification method for surface cracks on cylindrical metal components[J]. J. Vib. Shock, 2020, 39(5): 10
|
|
刘学坤, 杨世锡, 刘永强 等. 圆柱类金属构件表面裂纹的激光超声识别方法研究[J]. 振动与冲击, 2020, 39(5): 10
|
2 |
The Chinese Society for NDT. NDT Development Roadmap[M]. Beijing: China Science and Technology Press, 2020: 5
|
|
中国机械工程学会无损检测分会. 无损检测发展路线图[M]. 北京: 中国科学技术出版社, 2020: 5
|
3 |
Guo X X, Situm A, Barlow B C, et al. Soft X-ray spectromicroscopy studies of pitting corrosion of reinforcing steel bar[J]. Surf. Interface Anal., 2019, 51: 681
doi: 10.1002/sia.v51.6
|
4 |
Lu J L, Cheng G G, Wu M, et al. Detection and analysis of magnetic particle testing defects on heavy truck crankshaft manufactured by microalloyed medium-carbon forging steel[J]. J. Iron Steel Res. Int., 2020, 27: 608
doi: 10.1007/s42243-019-00334-7
|
5 |
Hu X Z. Penetration Testing[M]. 2nd Ed., Beijing: China Labor and Social Security Press, 2007: 168
|
|
胡学知. 渗透检测[M]. 第 2版, 北京: 中国劳动社会保障出版社, 2007: 168
|
6 |
Fuentes J, Echeveste S, Garcia J, et al. Surface-critical defects analysis in hot-rolled long products, wire rod and bars with eddy current and artificial vision testing[A]. Iron and Steel Technology Conference Proceedings[C]. Pittsburgh: Association for Iron and Steel Technology, 2018: 1923
|
7 |
Zeng W, Yao Y Y. Numerical simulation of laser-generated ultrasonic waves for detection surface defect on a cylinder pipe[J]. Optik, 2020, 212: 164650
doi: 10.1016/j.ijleo.2020.164650
|
8 |
Daryabor P, Safizadeh M S. Investigation of morphology techniques capability for the enhancement of ultrasonic C-scan images of composite patches[J]. Mater. Eval., 2019, 77: 203
|
9 |
Wu S W. Research on theory and application of on-line ultrasound imaging for cylindrical components based on synthetic aperture[D]. Hangzhou: Zhejiang University, 2015
|
|
吴施伟. 基于合成孔径的圆柱类部件在线超声成像理论与实践的研究[D]. 杭州: 浙江大学, 2015
|
10 |
Mouritz A P, Townsend C, Shah Khan M Z. Non-destructive detection of fatigue damage in thick composites by pulse-echo ultrasonics[J]. Compos. Sci. Technol., 2000, 60: 23
doi: 10.1016/S0266-3538(99)00094-9
|
11 |
Sun B S, Shen J Z. Synthetic aperture focused ultrasound imaging (I)[J]. J. Appl. Acoust., 1993, 12(3): 43
|
|
孙宝申, 沈建中. 合成孔径聚焦超声成像(一)[J]. 应用声学, 1993, 12(3): 43
|
12 |
O'Donnell M, Thomas L J. Efficient synthetic aperture imaging from a circular aperture with possible application to catheter-based imaging[J]. IEEE Trans. Ultrason. Ferroelectr. Freq. Control, 1992, 39: 366
|
13 |
Zheng C C, Cheng J, Peng H. Ultrasonic synthetic aperture imaging algorithm based on power sample entropy as adaptive weight[J]. Acta Acust., 2017, 42: 109
|
|
郑驰超, 成 娟, 彭 虎. 次方样本熵自适应加权的超声合成孔径成像算法[J]. 声学学报, 2017, 42: 109
|
14 |
Mirzaei M, Asif A, Rivaz H. Virtual source synthetic aperture for accurate lateral displacement estimation in ultrasound elastography[J]. IEEE Trans. Ultrason. Ferroelectr. Freq. Control, 2021, 68: 1687
doi: 10.1109/TUFFC.2020.3046445
|
15 |
Cui W K, Qin K H. Fast 3-D ultrasonic imaging using time-domain synthetic aperture focusing techniques based on circular scan conversions[J]. IEEE Trans. Comput. Imaging, 2018, 4: 632
doi: 10.1109/TCI.6745852
|
16 |
Selim H, Trull J, Prieto M D, et al. Fully noncontact hybrid NDT for 3D defect reconstruction using SAFT algorithm and 2D apodization window[J]. Sensors, 2019, 19: 2138
doi: 10.3390/s19092138
|
17 |
Hirose S, Nishimoto S, Maruyama T, et al. Improved ultrasonic SAFT imaging of flaws in structures with curved surfaces[J]. AIP Conf. Proc., 2014, 1581: 36
|
18 |
Li Y J, Wang Z Y, Zhang Y, et al. Synthetic aperture imaging in cylindrical component using ultrasonic immersion forward vector algorithm[J]. Russ. J. Nondestr. Test., 2020, 56: 397
doi: 10.1134/S106183092005006X
|
19 |
Jin H, Chen J, Wu E, et al. Frequency-domain synthetic aperture focusing for helical ultrasonic imaging[J]. J. Appl. Phys., 2017, 121: 134901
doi: 10.1063/1.4979369
|
20 |
Scharrer T, Koch A, Fendt K T, et al. Ultrasonic defect detection in multi-material, axis-symmetric devices with an improved synthetic aperture focusing technique (SAFT)[A]. 2012 IEEE International Ultrasonics Symposium[C]. Dresden: IEEE, 2012: 1039
|
21 |
Vrana J, SchÖrner K, Mooshofer H, et al. Ultrasonic computed tomography-pushing the boundaries of the ultrasonic inspection of forgings[J]. Steel Res. Int., 2018, 89: 1700448
doi: 10.1002/srin.v89.4
|
22 |
Wu S W, Skjelvareid M H, Yang K J, et al. Synthetic aperture imaging for multilayer cylindrical object using an exterior rotating transducer[J]. Rev. Sci. Instrum., 2015, 86: 083703
|
23 |
Peng H. Introduction to Ultrasound Imaging Algorithms[M]. Hefei: University of Science and Technology of China Press, 2008: 122
|
|
彭 虎. 超声成像算法导论[M]. 合肥: 中国科学技术大学出版社, 2008: 122
|
24 |
Nikolov S, Jensen J A. Virtual ultrasound sources in high-resolution ultrasound imaging[A]. Proceedings of SPIE 4687, Medical Imaging 2002: Ultrasonic Imaging and Signal Processing[C]. San Diego: SPIE, 2002: 395
|
25 |
Zhou Z G, Zhou J H, Zhang K S, et al. Application of synthetic aperture focusing technique to defect quantification for immersion ultrasonic testing[J]. J. Beijing Univ. Aeronaut. Astronaut., 2016, 42: 2017
|
|
周正干, 周江华, 章宽爽 等. 合成孔径聚焦在水浸超声缺陷定量中的应用[J]. 北京航空航天大学学报, 2016, 42: 2017
|
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|