Nonlinear Ultrasonic Detection Method of Collinear Wave Mixing for Thermal Damage in High Temperature Pipeline

Jiao Jingpin; Li Zhiqiang; Sun Junjun; Wan Guorong; Li Ji; He Cunfu; Wu Bin

doi:10.13832/j.jnpe.2024.01.0218

Volume 45 Issue 1

Feb. 2024

Turn off MathJax

Article Contents

Article Navigation > Nuclear Power Engineering > 2024 > 45(1): 218-224

Jiao Jingpin, Li Zhiqiang, Sun Junjun, Wan Guorong, Li Ji, He Cunfu, Wu Bin. Nonlinear Ultrasonic Detection Method of Collinear Wave Mixing for Thermal Damage in High Temperature Pipeline[J]. Nuclear Power Engineering, 2024, 45(1): 218-224. doi: 10.13832/j.jnpe.2024.01.0218

Citation:

Jiao Jingpin, Li Zhiqiang, Sun Junjun, Wan Guorong, Li Ji, He Cunfu, Wu Bin. Nonlinear Ultrasonic Detection Method of Collinear Wave Mixing for Thermal Damage in High Temperature Pipeline[J]. Nuclear Power Engineering, 2024, 45(1): 218-224. doi: 10.13832/j.jnpe.2024.01.0218

Citation:

Jiao Jingpin, Li Zhiqiang, Sun Junjun, Wan Guorong, Li Ji, He Cunfu, Wu Bin. Nonlinear Ultrasonic Detection Method of Collinear Wave Mixing for Thermal Damage in High Temperature Pipeline[J]. Nuclear Power Engineering, 2024, 45(1): 218-224. doi: 10.13832/j.jnpe.2024.01.0218

PDF( 17215 KB)

Nonlinear Ultrasonic Detection Method of Collinear Wave Mixing for Thermal Damage in High Temperature Pipeline

doi: 10.13832/j.jnpe.2024.01.0218

1.
Beijing University of Technology, Beijing, 100124, China
2.
Nuclear Power Institute of China, Chengdu, 610213, China

Received Date: 2023-04-16
Rev Recd Date: 2023-10-27
Publish Date: 2024-02-15

Abstract

Abstract

Aiming at the need of safe operation of power plant, the nonlinear ultrasonic detection method of thermal damage of high temperature pipeline by collinear mixing is studied. The excitation conditions of significant mixing effect were determined by frequency sweep experiment, and nonlinear ultrasonic testing experiments were carried out on four Super304H pipes with different thermal damage degrees. The detection signals were analyzed by bispectrum to investigate the distribution of bispectrum of sum frequency component in phase interval, and the phase distribution range of nonlinear response caused by thermal damage was determined. The results show that the nonlinear acoustic coefficients extracted in turn have a good correlation with the thermal damage degree of the specimen, which can be used to characterize the thermal damage of the pipeline. The research work provides a feasible scheme for thermal damage detection of high temperature pipelines in power plants.
- High temperature pipeline,
- Thermal damage,
- Wave mixing nonlinear,
- Ultrasonic test,
- Bispectrum

FullText(HTML)

References(21)

References

[1]	KIM S W, JEON B G, HAHM D G, et al. Failure criteria evaluation of steel pipe elbows in nuclear power plant piping systems using cumulative damage models[J]. Thin-Walled Structures, 2023, 182: 110250. doi: 10.1016/j.tws.2022.110250
[2]	国家能源局. 火力发电厂金属材料选用导则: DL/T 715-2015[S]. 北京: 中国电力出版社,2015: 1.
[3]	国家能源局. 压水堆核电厂常规岛金属材料选用导则: NB/T 25078—2018[S]. 北京: 中国电力出版社,2018: 1.
[4]	杨健,朱文韬. 蒸汽发生器传热管诱发破裂风险评估[J]. 核动力工程,2017, 38(1): 51-55. doi: 10.13832/j.jnpe.2017.01.0051
[5]	OH S, CHOI G, LEE D, et al. Analysis of eddy-current probe signals in steam generator U-bend tubes using the finite element method[J]. Applied Sciences, 2021, 11(2): 696. doi: 10.3390/app11020696
[6]	ZHANG Q D, NIVERTY S, SINGARAVELU A S S, et al. Microstructure and micropore formation in a centrifugally-cast duplex stainless steel via X-ray microtomography[J]. Materials Characterization, 2019, 148: 52-62. doi: 10.1016/j.matchar.2018.12.009
[7]	OH S B, KIM J, LEE J Y, et al. Analysis of pipe thickness reduction according to pH in FAC facility with in situ ultrasonic measurement real time monitoring[J]. Nuclear Engineering and Technology, 2022, 54(1): 186-192. doi: 10.1016/j.net.2021.07.048
[8]	NARAYANAN M M, ARJUN V, KUMAR A. Influence of thermal expansion bend and tubesheet geometry on guided wave inspection of steam generator tubes of a fast breeder reactor[J]. Structural Health Monitoring, 2021, 20(6): 3288-3308. doi: 10.1177/1475921720983520
[9]	WANG J J, WEN Z X, PEI H Q, et al. Thermal damage evaluation of nickel-based superalloys based on ultrasonic nondestructive testing[J]. Applied Acoustics, 2021, 183: 108329. doi: 10.1016/j.apacoust.2021.108329
[10]	DIB G, ROY S, RAMUHALLI P, et al. In-situ fatigue monitoring procedure using nonlinear ultrasonic surface waves considering the nonlinear effects in the measurement system[J]. Nuclear Engineering and Technology, 2019, 51(3): 867-876. doi: 10.1016/j.net.2018.12.003
[11]	MAEV R G, SEVIARYN F. Applications of non-linear acoustics for quality control and material characterization[J]. Journal of Applied Physics, 2022, 132(16): 161101. doi: 10.1063/5.0106143
[12]	SAMPATH S, SOHN H. Cubic nonlinearity parameter measurement and material degradation detection using nonlinear ultrasonic three-wave mixing[J]. Ultrasonics, 2022, 121: 106670. doi: 10.1016/j.ultras.2021.106670
[13]	KIM J, KIM J G, KONG B, et al. Applicability of nonlinear ultrasonic technique to evaluation of thermally aged CF8M cast stainless steel[J]. Nuclear Engineering and Technology, 2020, 52(3): 621-625. doi: 10.1016/j.net.2019.09.004
[14]	MAO H L, ZHANG Y H, LI X X, et al. Fatigue crack detection and fatigue damage imaging using the non-collinear transverse wave mixing technique[J]. Nondestructive Testing and Evaluation, 2019, 34(1): 1-12. doi: 10.1080/10589759.2018.1533011
[15]	MAO H L, ZHANG Y H, LI X X, et al. Location and length measurement of invisible fatigue crack in metal components using wave mixing methods[J]. Journal of Testing and Evaluation, 2019, 47(5): 3622-3633.
[16]	LV H T, ZHANG J, JIAO J P, et al. Fatigue crack inspection and characterisation using non-collinear shear wave mixing[J]. Smart Materials and Structures, 2020, 29(5): 055024. doi: 10.1088/1361-665X/ab5486
[17]	YUAN B, SHUI G S, WANG Y S. Evaluating and locating plasticity damage using collinear mixing waves[J]. Journal of Materials Engineering and Performance, 2020, 29(7): 4575-4585. doi: 10.1007/s11665-020-04971-y
[18]	JU T, ACHENBACH J D, JACOBS L J, et al. Nondestructive evaluation of thermal aging of adhesive joints by using a nonlinear wave mixing technique[J]. NDT & E International, 2019, 103: 62-67.
[19]	ZHANG Y H, LI X X, WU Z Y, et al. Fatigue life prediction of metallic materials based on the combined nonlinear ultrasonic parameter[J]. Journal of Materials Engineering and Performance, 2017, 26(8): 3648-3656. doi: 10.1007/s11665-017-2811-7
[20]	SAMPATH S, JANG J, SOHN H. Ultrasonic Lamb wave mixing based fatigue crack detection using a deep learning model and higher-order spectral analysis[J]. International Journal of Fatigue, 2022, 163: 107028. doi: 10.1016/j.ijfatigue.2022.107028
[21]	JIAO J P, LV H T, HE C F, et al. Fatigue crack evaluation using the non-collinear wave mixing technique[J]. Smart Materials and Structures, 2017, 26(6): 065005. doi: 10.1088/1361-665X/aa6c43