Small-Diameter Tube Wall Damage-Detection Method Based on TE01 Mode Microwave
Abstract
:1. Introduction
2. Microwave Detection Mechanism of TE01 Mode in Small-Diameter Pipeline
2.1. Propagation Mechanism of Microwaves in TEmn Mode in Pipes
2.2. Microwave Detection Mechanism of TE01 Mode for Pipeline Defects
2.3. Microwave Mode Distortion at Defects
2.4. Analysis of Feature Quantity for TE01 Mode Microwave Defect Detection
3. Microwave Propagation Laws at Defects on Inner Wall of Small-Diameter Pipes
3.1. Analysis of Influence Law of Defects in Pipeline on Microwave Propagation
3.2. Return Loss Analysis
4. Experimental Analysis
5. Conclusions
- (1)
- The transmission loss of the TE01 mode microwave in the pipeline is small, and it is suitable for long-distance transmissions of more than 100 m. By establishing a microwave detection model for small-diameter pipeline defects in the TE01 mode, the relationship between the change in defect size and the characteristic parameters of microwaves is obtained, and the microwave reflection coefficient and return loss can be used as the basis for microwave detection of small-diameter pipes.
- (2)
- As the width of the inner wall defect in the pipeline increases, the number of propagation cycles of the electric field, magnetic field, and wall current in the pipeline decreases; the peak value of the single-cycle field increases; and the energy accumulated at the defect results in loss, and the return loss absolute value increased.
- (3)
- When there is a defect in the pipeline, the fundamental value of the return loss decreases as a whole. The fundamental value of the return loss of the microwave reflected wave decreases with the existence of the defect, and with an increase in the defect width, the detection frequency of the microwave reflected wave at the defect decreases linearly. The TE01 mode microwave has a good detection ability for defects in the inner wall of the pipeline.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Liu, L.; Ju, Y. A High-Efficiency Nondestructive Method for Remote Detection and Quantitative Evaluation of Pipe Wall Thinning Using Microwaves. NDT E Int. 2011, 44, 106–110. [Google Scholar] [CrossRef]
- Ju, Y.; Liu, L.S.; Ishikawa, M. Quantitative Evaluation of Wall Thinning of Metal Pipes by Microwaves. In Materials Science Forum; Trans Tech Publications Ltd.: Switzerland, 2009; Volume 614, pp. 111–116. [Google Scholar] [CrossRef]
- Ju, Y. Remote Measurement of the Pipe Thickness Reduction by Microwaves. In Proceedings of the ASME 2007 Pressure Vessels and Piping Division Conference, San Antonio, TX, USA, 22–26 July 2007; pp. 177–179. [Google Scholar] [CrossRef]
- Ju, Y.; Lu, Y.; Shikawa, M. Microwave Measurement and Quantitative Evaluation of Wall Thinning in Metal Pipes. In Proceedings of the 17th World Conference on Nondestructive Testing, Shanghai, China, 25–28 October 2008. [Google Scholar]
- Liu, L. Application of Microwave for Remote NDT And Distinction of Biofouling and Wall Thinning Defects Inside a Metal Pipe. J. Nondestruct. Eval. 2015, 34, 1–8. [Google Scholar] [CrossRef]
- Liu, L.; Ju, Y.; Chen, M. Optimizing the Frequency Range of Microwaves for High-Resolution Evaluation of Wall Thinning Locations in a Long-Distance Metal Pipe. NDT E Int. 2013, 57, 52–57. [Google Scholar] [CrossRef]
- Kavoos, A.; Alobaidi, W.M. Estimation of Time-of-Flight Based on Threshold and Peak Analysis Method for Microwaves Signals Reflected from the Crack. Nondestruct. Test. Eval. 2018, 33, 1–12. [Google Scholar]
- Chen, G.; Guo, Y.; Katagiri, T.; Song, H.; Tomizawa, T.; Yusa, N.; Hashizume, H. Multivariate probability of Detection (POD) Analysis Considering the Defect Location for Long-Range, Non-Destructive Pipe Inspection Using Electromagnetic Guided Wave Testing. NDT E Int. 2021, 124, 102539. [Google Scholar] [CrossRef]
- Chen, G.; Katagiri, T.; Yusa, N.; Hashizume, H. In-Pipe Crack Detection for Multiple Diameters Using TE 11 Mode Microwaves. Int. J. Appl. Electromagn. Mech. 2020, 64, 39–46. [Google Scholar] [CrossRef]
- Chen, G.; Katagiri, T.; Yusa, N.; Hashizume, H. Experimental Investigation on Bend-Region Crack Detection Using TE11 Mode Microwaves. Nondestruct. Test. Eval. 2022, 37, 71–80. [Google Scholar] [CrossRef]
- Shiwen, Y.; Hongfu, L. Optimization of Novel High Power Millimeter-Wave TM01-TE11 Mode Converter. IEEE Trans Microw. Theory Tech. 1997, 45, 552–554. [Google Scholar] [CrossRef]
- Chen, G.; Katagiri, T.; Song, H.; Yusa, N.; Hashizume, H. Detection of Cracks with Arbitrary Orientations in a Metal Pipe Using Linearly-Polarized Circular TE11 Mode Microwaves. NDT E Int. 2019, 107, 102125. [Google Scholar] [CrossRef]
- Katagiri, T.; Sasaki, K.; Song, H.; Yusa, N.; Hashizume, H. Proposal of a TEM to TE 01 Mode Converter for A Microwave Nondestructive Inspection of Axial Flaws Appearing on the Inner Surface of a Pipe with an Arbitrary Diameter. Int. J. Appl. Electromagn. Mech. 2019, 59, 1527–1534. [Google Scholar] [CrossRef]
- Zhang, H.; Gao, B.; Tian, G.Y.; Woo, W.L.; Bai, L. Metal Defects Sizing and Detection Under Thick Coating Using Microwave NDT. NDT E Int. 2013, 60, 52–61. [Google Scholar] [CrossRef]
- Buhari, M.D.; Tian, G.Y.; Tiwari, R. Microwave-Based SAR Technique for Pipeline Inspection Using Autofocus Range-Doppler Algorithm. IEEE Sens. J. 2018, 19, 1777–1787. [Google Scholar] [CrossRef]
- Alobaidi, W.M.; Alkuam, E.A.; Sandgren, E. Development of an Optimized Neural Network for the Detection of Pipe Defects Using a Microwave Signal. J. Press. Vessel. Technol. 2018, 140, 041501. [Google Scholar] [CrossRef]
- Bejjavarapu, S.M.; Simonetti, F. An Experimental Model for Guided Microwave Backscattering from Wet Insulation in Pipelines. J. Nondestruct. Eval. 2014, 33, 583–596. [Google Scholar] [CrossRef]
- Sasaki, K.; Katagiri, T.; Yusa, N.; Hashizume, H. Experimental Verification of Long-Range Microwave Pipe Inspection Using Straight Pipes with Lengths of 19–26.5 M. NDT E Int. 2018, 96, 47–57. [Google Scholar] [CrossRef]
- Sasaki, K.; Liu, L.; Yusa, N.; Hashizume, H. Optimized Microwave Excitation Probe for General Application in NDT Of Wall Thinning in Metal Pipes of Arbitrary Diameter. NDT E Int. 2015, 70, 53–59. [Google Scholar] [CrossRef]
- Sakai, Y.; Yusa, N.; Hashizume, H. Nondestructive Evaluation of Wall Thinning Inside a Pipe Using the Reflection of Microwaves with the Aid of Signal Processing. Nondestruct. Test. Eval. 2012, 27, 171–184. [Google Scholar] [CrossRef]
The width of defect mm | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
The value of electric field V/m | 1291.91 | 1317.67 | 1461.68 | 1869.49 | 2368.71 | 2961.84 | 3885.45 | 4761.93 | 6168.96 |
The value of magnetic field A/m | 3.00 | 3.25 | 3.62 | 4.22 | 5.13 | 6.36 | 8.54 | 11.14 | 15.00 |
The value of wall current A/m | 3.00 | 2.81 | 2.86 | 3.24 | 3.94 | 5.03 | 6.79 | 9.25 | 12.63 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Shi, M.; Yang, L.; Gao, S.; Wang, G. Small-Diameter Tube Wall Damage-Detection Method Based on TE01 Mode Microwave. Sensors 2022, 22, 6476. https://doi.org/10.3390/s22176476
Shi M, Yang L, Gao S, Wang G. Small-Diameter Tube Wall Damage-Detection Method Based on TE01 Mode Microwave. Sensors. 2022; 22(17):6476. https://doi.org/10.3390/s22176476
Chicago/Turabian StyleShi, Meng, Lijian Yang, Songwei Gao, and Guoqing Wang. 2022. "Small-Diameter Tube Wall Damage-Detection Method Based on TE01 Mode Microwave" Sensors 22, no. 17: 6476. https://doi.org/10.3390/s22176476
APA StyleShi, M., Yang, L., Gao, S., & Wang, G. (2022). Small-Diameter Tube Wall Damage-Detection Method Based on TE01 Mode Microwave. Sensors, 22(17), 6476. https://doi.org/10.3390/s22176476