journal article·2024-10-02

Influence of specimen roughness on dry coupling in piezoelectric ultrasonics

Shiqiang Wang, Laibin Zhang, Qiang Xu, Jianchun Fan, Jianbo Wu

Publisher page

Abstract

Because oil and gas pipelines reside in high-temperature, high-pressure and highly acidic environments for a long time, it is very common for such pipes to experience corrosion thinning. To solve the long-term online monitoring problem of piezoelectric ultrasonic dry coupling of monitored objects with different surface roughnesses, the effects of different thicknesses of silver plates, different surface roughnesses and different coaxial loads on piezoelectric ultrasonic dry coupling were studied here. To improve the low SNR of the acquired signal, a Batworth high-pass filter and zero-phase digital filter are proposed for online ultrasonic monitoring. The effects of three kinds of roughness and axial load on the piezoelectric ultrasonic dry coupling signal are studied, and the relationship between the roughness, thickness of the silver plate and axial load is obtained. The results show that under different roughness conditions, the SNR of the ultrasonic signal increases with increasing axial load. When the axial load reaches a certain magnitude, the SNR of the ultrasonic signal tends to be stable. When the surface roughness is Ra = 1.6 µm and the thickness of the silver plate is 0.05 mm, the SNR of the ultrasonic signal reaches the best value, and the required axial load is minimal.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Ultrasonics and Acoustic Wave Propagation · Non-Destructive Testing Techniques · Offshore Engineering and Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

College of Safety and Ocean Engineering, China University of Petroleum (Beijing), Beijing, China

Research Institute of Safety, Environmental Protection and Quality Supervision and Inspection, Chuanqing Drilling Engineering Co., Ltd, Guanghan, China

School of Mechanical Engineering, Sichuan University, Chengdu, China

Funding

the CNPC Major Science and Technology Project “Research on Key Equipment and Supporting Technology for Onshore Well Control Emergency Response” · The Sichuan Science and Technology Plan Project

References (31)

Show source-provided references
1. 10.1088/2053-1591/ab65e710.1088/2053-1591/ab65e7 ↗
2. Zhang F, Wang Y, Liu Y, et al. Optimized design and simulation of high temperature pressure pipeline strain monitoring with optical fiber sensing technology. Proceedings of the 4th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Sensor and Micromachined Optical Device Technologies; 2011 May 24-26; Beijing. Bellingham: Spie-Int Soc Optical Engineering; 2011.
3. 10.1109/SPAWDA.2013.684111510.1109/SPAWDA.2013.6841115 ↗
4. 10.1080/10589759.2021.199538410.1080/10589759.2021.1995384 ↗
5. 10.1016/j.ndteint.2014.07.00910.1016/j.ndteint.2014.07.009 ↗
6. Niu XC, Zhu LQ, Yu ZJ, et al. Detection method of the neutral temperature in continuous welded rails based on nonlinear ultrasonic guided waves. Nondestruct Test Eval. 2023;37(2):134–159.
7. 10.3390/ma1518642910.3390/ma15186429 ↗
8. 10.3390/s1604058210.3390/s16040582 ↗
9. Kopec M, Wiecek B Thermographic detection of abraded pipeline walls in the industrial installations. Proceedings of the 13th quantitative infrared thermography conference; 2016 Jul 04-08; Gdansk. Quebe: Qirt Council; 2016. p. 424–432.
10. 10.1007/s10921-017-0458-910.1007/s10921-017-0458-9 ↗
11. 10.1784/insi.2019.61.8.45810.1784/insi.2019.61.8.458 ↗
12. 10.1002/stc.177110.1002/stc.1771 ↗
13. 10.3390/instruments301000210.3390/instruments3010002 ↗
14. 10.3233/JAE-16011510.3233/JAE-160115 ↗
15. 10.1109/MINES.2012.24510.1109/MINES.2012.245 ↗
16. 10.1016/j.ndteint.2019.10213110.1016/j.ndteint.2019.102131 ↗
17. 10.1784/insi.2015.57.6.31910.1784/insi.2015.57.6.319 ↗
18. 10.1080/10589759.2020.182570710.1080/10589759.2020.1825707 ↗
19. 10.1016/j.sna.2020.11221310.1016/j.sna.2020.112213 ↗
20. 10.1080/00150193.2010.48554610.1080/00150193.2010.485546 ↗
21. 10.1109/TIE.2023.325074710.1109/TIE.2023.3250747 ↗
22. 10.4028/www.scientific.net/AMM.526.7510.4028/www.scientific.net/AMM.526.75 ↗
23. 10.1016/j.ultras.2020.10617810.1016/j.ultras.2020.106178 ↗
24. 10.1016/j.net.2017.05.00210.1016/j.net.2017.05.002 ↗
25. 10.3390/s1924538310.3390/s19245383 ↗
26. 10.1098/rspa.1996.013910.1098/rspa.1996.0139 ↗
27. 10.1016/j.jmps.2004.01.00610.1016/j.jmps.2004.01.006 ↗
28. 10.1063/1.471629610.1063/1.4716296 ↗
29. 10.3390/app1112572010.3390/app11125720 ↗
30. 10.3901/JME.2011.17.07810.3901/JME.2011.17.078 ↗
31. 10.3901/JME.2007.03.09510.3901/JME.2007.03.095 ↗