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DIAGNOSTICS OF DEFECT DETECTION IN THE INITIAL STAGES OF STRUCTURAL FAILURE USING THE ACOUSTIC EMISSION METHOD OF CONTROL

Authors:

Sergey Grazion1

, Valery Spiryagin2

, Mikhail Erofeev3

, Igor Kravchenko3,4

,

Yury Kuznetsov5

, Mikhail Mukomela6

, Sergey Velichko7

, Aleksandar Ašonja8

, Larisa Kalashnikova9

1АО ʺMoscow Institute of Thermal Engineering Corporationʺ, Moscow, Russia
2Moscow Aviation Institute (National Research University), Moscow, Russia
3Institute of Mechanical Engineering of the Russian Academy of Sciences named after A.A. Blagonravov (IMASH RAS), Moscow, Russia
4Russian State Agrarian University – MTAA named after K.A. Timiryazev, Moscow, Russia
5Orel State Agrarian University named after N.V. Parakhin, Orel, Russia
6Peter the Great Military Academy of the Strategic Rocket Forces, Balashikha, Russia
7National Research Mordovia State University named after N.P. Ogarev, Saransk, Russia
8Faculty of Economics and Engineering Management in Novi Sad, University Business Academy in Novi Sad, Serbia
9Orel State University named after I.S. Turgenev, Orel, Russia

Received: 06.04.2022.
Accepted: 12.06.2022.
Available: 30.06.2022.

Abstract:

The article presents the results of experimental estimation of the possibility of early registration of structural defects using the acoustic-emission method of control, based on the phenomenon of acoustic emission, which is the excitation of elastic vibrations of the material, caused by the formation and development of defects. To confirm the possibility of recording the processes of predestruction, such as the development of crack-like defects and plastic deformation using the acoustic-emission method of control, full-scale tests of the pressure vessel were carried out and the physical model of the shell-and-tube heat exchanger specially designed for this process was verified. It has been determined that the most informative frequency range for recording acoustic emission signals is the range of 100-200 kHz. The relationship of acoustic emission with the characteristics of defect development during plastic deformation has been studied. It was found that for reliable determination of the plastic deformation process, shared usage of amplitude and the count rate of acoustic emission is advisable.

Keywords:

Technical diagnostics, Nondestructive testing, Physical model, Shell and tube heat exchanger

References:

[1] C. E.Seow, Ji. Zhang, H. E. Coules, G. Wu, C. Jones, Ji. Ding, S. Williams, Effect of crack-lice defects on the fracture behaviour of Wire + Arc additively manufactured nickel-base alloy 718. Additive Manufacturing, 36 (12), 2020:101578. https://doi.org/10.1016/j.addma.2020.101578
[2] M. Marco, D. Infante-Garcia, R. Belda, E. Giner, A comparison between some fracture modelling approaches in 2D LEFM using finite elements. International Journal of Fracture, 223 (1-2), 2020: 151-171. https://doi.org/10.1007/s10704-020-00426-6
[3] S.A. Sedmak, Computational fracture mechanics: An overview from early efforts to recent achievements. Fatigue & Fracture of  Engineering Materials & Structures, 41 (12), 2018: 2438-2474. https://doi.org/10.1111/ffe.12712
[4] С.V. Doronin, A.M. Lepikhin, V.V. Moskvichev, Y. I. Shokhin, A.M. Lepikhin, V.V. Moskvichev, Modeling of Strength and Failure of Supporting Structures of Technical Systems: Strength, Fracture Mechanics, Resource, Safety of Technical Systems, ed. Nauka. Siberian Publishing Company. Novosibirsk, 2005.
[5] K.А. Molokov, V.V. Novikov, Evaluation of crack resistance of welded joints with soft interlayers. Advanced Engineering Research, 21 (4), 2021: 308-318. https://doi.org/10.23947/2687-1653-2021-21-4-308-318
[6] D. Peng, C. Wallbrink, R. Jones, An assessment of stress intensity factors for surface flaws in a tubular member. Engineering Fracture Mechanics, 72 (3), 2005: 357-371. https://doi.org/10.1016/j.engfracmech.2004.04.001
[7] C.A. Sokolov, D.E. Tulin, A Method of Calculation of Stress Intensity Coefficient for a Crack in the Stress Concentrator Area. Proceedings of Tula State University. Technical Sciences, 5, 2020: 328-335.
[8] S. Gholizadeh, A review of non-destructive testing methods of composite materials. Procedia Structural Integrity, 1, 2016: 50-57. https://doi.org/10.1016/j.prostr.2016.02.008
[9] V.V. Nosov, A.I. Potapov, Acoustic-emission testing of the strength of metal structures under complex loading. Russian Journal of Nondestructive Testing, 51 (1), 2015: 50-58. https://doi.org/10.1134/S1061830915010064
[10] F. Bjorheim, S. C. Siriwardane, D. Pavlou, A review of fatigue damage detection and measurement techniques. International Journal of Fatigue, 154, 2022: 106556. https://doi.org/10.1016/j.ijfatigue.2021.106556
[11] M.M. Kuten, A.L. Bobrov, Development of a technique for identifying dangerous defects in objects subjected to acoustic-emission control. The Siberian transport university bulletin, 4(59), 2021: 62-68.
[12] T.M. Roberts, M. Talebzadeh, Acoustic emission monitoring of fatigue crack propagation. Journal of Constructional Steel Research, 59 (6), 2003: 695-712. https://doi.org/10.1016/S0143974X(02)00064-0
[13] E. Agletdinov, E. Pomponi, D. Merson, A. Vinogradov, A novel Bayesian approach to acoustic emission data analysis. Ultrasonics, 72 12), 2016: 89-94. https://doi.org/10.1016/j.ultras.2016.07.014
[14] T. Shiraiwa, K. Ishikawa, M. Enoki, I. Shinozaki, S. Kanazawa, Acoustic emission analysis using Bayesian model selection for damage characterization in ceramic matrix composites. Journal of the European Ceramic Society, 40(8), 2791-2800. https://doi.org/10.1016/j.jeurceramsoc.2020.03.035
[15] Z. Su, Ch. Zhou, M. Hong, Li Cheng, Q. Wang, X. Qing, Acousto-ultrasonics-based fatigue damage characterization: Linear versus nonlinear signal features. Mechanical Systems and Signal Processing, 45 (1), 2014: 225-239.
https://doi.org/10.1016/j.ymssp.2013.10.017
[16] Н.A. Semashko, V.I. Shport, B.N. Mar’in, Acoustic Emission in Experimental Materials Science, ed. Mechanical Engineering, Moscow, 2002.
[17] Z. Nazarchuk, O. Andreykiv, V. Skalskyi, D. Rudavskyi, Acoustic emission method in the delayed fracture mechanics of structural materials. Procedia Structural Integrity, 16, 2019: 169-175. https://doi.org/10.1016/j.prostr.2019.07.037
[18] M.G. Droubi, N.H. Faisal, F. Orr, J.A. Steel, M.N. El-Shaib, Acoustic emission method for defect detection and identification in carbon steel welded joints. Journal of Constructional Steel Research, 134 (7), 2017: 28-37.
https://doi.org/10.1016/j.jcsr.2017.03.012
[19] V.V. Nosov, On the principles of optimizing the technologies of acoustic-emission strength control of industrial objects. Russian Journal of Nondestructive Testing, 52 (9), 2016: 386-399. https://doi.org/10.1134/S106183091607006
[20] O. Stankevych, Valentyn Skalsky, Investigation and identification of fracture types of structural materials by means of acoustic emission analysis. Engineering Fracture Mechanics, 164, 2016: 24-34.
https://doi.org/10.1016/j.engfracmech.2016.08.005
[21] A. Rai, Z. Ahmad, M.J. Hasan, J.-M. Kim, A novel pipeline leak detection technique based on acoustic emission features and two-sample Kolmogorov-Smirnov test. Sensors, 21 (24), 2021, 8247. https://doi.org/10.3390/s21248247
[22] A.V. Sokolkin, I.Y. Ievlev, S.O. Cholakh, Methods to testing bottoms of tanks for oil and oil derivatives. Russian Journal of Nondestructive Testing, 38, 2002: 113-115. https://doi.org/10.1023/A:1020546307628
[23] А. N. Kuzmin, A.B. Zhukov, D.G. Davydova, D.V. Shchitov, E.G. Akselrod, V.A. Kats, Acousticemission control in assessing the technical condition of oil and gas complex equipment. In the World of Nondestructive Testing, 20 (1), 2017: 71-80.
[24] В.V. Spiryagin, I.A. Medelyaev, A.I. Chmykhalo, Model of loss of serviceability of metal structures of a refrigeration machine evaporator. Assembling in Mechanical Engineering, Instrumentation, 11, 2019: 483-492.
[25] A. Vinogradov, A.V. Danyuk, D.L. Merson, I.S. Yasnikov, Probing elementary dislocation mechanisms of local plastic deformation by the advanced acoustic emission technique. Scripta Materialia, 151, 2018: 53-56.
https://doi.org/10.1016/j.scriptamat.2018.03.036
[26] V. Marasanov, A. Sharko, Mathematical models for interrelation of characteristics of the developing sefects with the parameters of acoustic emission signals. International Frontier Science Letters, 10, 2016: 37-44, 2016.
https://doi.org/10.18052/www.scipress.com/IFSL.10.37
[27] I.A. Medelyaev, V.V. Spiriagin, A.I. Chmykhalo, Experimental Assessment of the Effect of Imperfect Geometric Form of Heat Exchange Tubes on the Value of Critical Pressure. Assembling in Mechanical Engineering, Instrumentation, 12, 2019: 531-536.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)

Volume 9
Number 3
September 2024

Last Edition

Volume 9
Number 3
September 2024

How to Cite

S. Grazion, V. Spiryagin, M. Erofeev, I. Kravchenko, Y. Kuznetsov, M. Mukomela, S. Velichko, A. Ašonja, L. Kalashnikova, Diagnostics of Defect Detection in the Initial Stages of Structural Failure Using the Acoustic Emission Method of Control. Applied Engineering Letters, 7(2), 2022: 45-53.
https://doi.org/10.18485/aeletters.2022.7.2.1

More Citation Formats

Grazion, S., Spiryagin, V., Erofeev, M., Kravchenko, I., Kuznetsov, Y., Mukomela, M., Velichko, S., Ašonja, A., & Kalashnikova, L. (2022). Diagnostics of Defect Detection in the Initial Stages of Structural Failure Using the Acoustic Emission Method of Control. Applied Engineering Letters7(2), 45-53. https://doi.org/10.18485/aeletters.2022.7.2.1

Grazion, Sergey, et al. “Diagnostics of Defect Detection in the Initial Stages of Structural Failure Using the Acoustic Emission Method of Control.” Applied Engineering Letters, vol. 7, no. 2, 2022, pp. 45-53, https://doi.org/10.18485/aeletters.2022.7.2.1.

Grazion, Sergey, Valery Spiryagin, Mikhail Erofeev, Igor Kravchenko, Yury Kuznetsov, Mikhail Mukomela, Sergey Velichko, Aleksandar Ašonja, and Larisa Kalashnikova. 2022. “Diagnostics of Defect Detection in the Initial Stages of Structural Failure Using the Acoustic Emission Method of Control.” Applied Engineering Letters 7 (2): 45-53. https://doi.org/10.18485/aeletters.2022.7.2.1.

Grazion, S., Spiryagin, V., Erofeev, M., Kravchenko, I., Kuznetsov, Y., Mukomela, M., Velichko, S., Ašonja, A. and Kalashnikova, L. (2022). Diagnostics of Defect Detection in the Initial Stages of Structural Failure Using the Acoustic Emission Method of Control. Applied Engineering Letters, 7(2), pp.45-53.
doi: 10.18485/aeletters.2022.7.2.1.

DIAGNOSTICS OF DEFECT DETECTION IN THE INITIAL STAGES OF STRUCTURAL FAILURE USING THE ACOUSTIC EMISSION METHOD OF CONTROL

Authors:

Sergey Grazion1

, Valery Spiryagin2

, Mikhail Erofeev3

, Igor Kravchenko3,4

,

Yury Kuznetsov5

, Mikhail Mukomela6

, Sergey Velichko7

, Aleksandar Ašonja8

, Larisa Kalashnikova9

1АО ʺMoscow Institute of Thermal Engineering Corporationʺ, Moscow, Russia
2Moscow Aviation Institute (National Research University), Moscow, Russia
3Institute of Mechanical Engineering of the Russian Academy of Sciences named after A.A. Blagonravov (IMASH RAS), Moscow, Russia
4Russian State Agrarian University – MTAA named after K.A. Timiryazev, Moscow, Russia
5Orel State Agrarian University named after N.V. Parakhin, Orel, Russia
6Peter the Great Military Academy of the Strategic Rocket Forces, Balashikha, Russia
7National Research Mordovia State University named after N.P. Ogarev, Saransk, Russia
8Faculty of Economics and Engineering Management in Novi Sad, University Business Academy in Novi Sad, Serbia
9Orel State University named after I.S. Turgenev, Orel, Russia

Received: 06.04.2022.
Accepted: 12.06.2022.
Available: 30.06.2022.

Abstract:

The article presents the results of experimental estimation of the possibility of early registration of structural defects using the acoustic-emission method of control, based on the phenomenon of acoustic emission, which is the excitation of elastic vibrations of the material, caused by the formation and development of defects. To confirm the possibility of recording the processes of predestruction, such as the development of crack-like defects and plastic deformation using the acoustic-emission method of control, full-scale tests of the pressure vessel were carried out and the physical model of the shell-and-tube heat exchanger specially designed for this process was verified. It has been determined that the most informative frequency range for recording acoustic emission signals is the range of 100-200 kHz. The relationship of acoustic emission with the characteristics of defect development during plastic deformation has been studied. It was found that for reliable determination of the plastic deformation process, shared usage of amplitude and the count rate of acoustic emission is advisable.

Keywords:

Technical diagnostics, Nondestructive testing, Physical model, Shell and tube heat exchanger

References:

[1] C. E.Seow, Ji. Zhang, H. E. Coules, G. Wu, C. Jones, Ji. Ding, S. Williams, Effect of crack-lice defects on the fracture behaviour of Wire + Arc additively manufactured nickel-base alloy 718. Additive Manufacturing, 36 (12), 2020:101578. https://doi.org/10.1016/j.addma.2020.101578
[2] M. Marco, D. Infante-Garcia, R. Belda, E. Giner, A comparison between some fracture modelling approaches in 2D LEFM using finite elements. International Journal of Fracture, 223 (1-2), 2020: 151-171. https://doi.org/10.1007/s10704-020-00426-6
[3] S.A. Sedmak, Computational fracture mechanics: An overview from early efforts to recent achievements. Fatigue & Fracture of I. Kravchenko et al. / Applied Engineering Letters Vol.7, No.2, 45-53 (2022)52 Engineering Materials & Structures, 41 (12), 2018: 2438-2474. https://doi.org/10.1111/ffe.12712
[4] С.V. Doronin, A.M. Lepikhin, V.V. Moskvichev, Y. I. Shokhin, A.M. Lepikhin, V.V. Moskvichev, Modeling of Strength and Failure of Supporting Structures of Technical Systems: Strength, Fracture Mechanics, Resource, Safety of Technical Systems, ed. Nauka. Siberian Publishing Company. Novosibirsk, 2005.
[5] K.А. Molokov, V.V. Novikov, Evaluation of crack resistance of welded joints with soft interlayers. Advanced Engineering Research, 21 (4), 2021: 308-318. https://doi.org/10.23947/2687-1653-2021-21-4-308-318
[6] D. Peng, C. Wallbrink, R. Jones, An assessment of stress intensity factors for surface flaws in a tubular member. Engineering Fracture Mechanics, 72 (3), 2005: 357-371. https://doi.org/10.1016/j.engfracmech.2004.04.001
[7] C.A. Sokolov, D.E. Tulin, A Method of Calculation of Stress Intensity Coefficient for a Crack in the Stress Concentrator Area. Proceedings of Tula State University. Technical Sciences, 5, 2020: 328-335.
[8] S. Gholizadeh, A review of non-destructive testing methods of composite materials. Procedia Structural Integrity, 1, 2016: 50-57. https://doi.org/10.1016/j.prostr.2016.02.008
[9] V.V. Nosov, A.I. Potapov, Acoustic-emission testing of the strength of metal structures under complex loading. Russian Journal of Nondestructive Testing, 51 (1), 2015: 50-58. https://doi.org/10.1134/S1061830915010064
[10] F. Bjorheim, S. C. Siriwardane, D. Pavlou, A review of fatigue damage detection and measurement techniques. International Journal of Fatigue. 154, 2022: 106556. https://doi.org/10.1016/j.ijfatigue.2021.106556
[11] M.M. Kuten, A.L. Bobrov, Development of a technique for identifying dangerous defects in objects subjected to acoustic-emission control. The Siberian transport university bulletin, 4(59), 2021: 62-68.
[12] T.M. Roberts, M. Talebzadeh, Acoustic emission monitoring of fatigue crack propagation. Journal of Constructional Steel Research, 59 (6), 2003: 695-712. https://doi.org/10.1016/S0143974X(02)00064-0
[13] E. Agletdinov, E. Pomponi, D. Merson, A. Vinogradov, A novel Bayesian approach to acoustic emission data analysis. Ultrasonics, 72 12), 2016: 89-94. https://doi.org/10.1016/j.ultras.2016.07.014
[14] T. Shiraiwa, K. Ishikawa, M. Enoki, I. Shinozaki, S. Kanazawa, Acoustic emission analysis using Bayesian model selection for damage characterization in ceramic matrix composites. Journal of the European Ceramic Society, 40(8), 2791-2800. https://doi.org/10.1016/j.jeurceramsoc.2020.03.035
[15] Z. Su, Ch. Zhou, M. Hong, Li Cheng, Q. Wang, X. Qing, Acousto-ultrasonics-based fatigue damage characterization: Linear versus nonlinear signal features. Mechanical Systems and Signal Processing, 45 (1), 2014: 225-239. https://doi.org/10.1016/j.ymssp.2013.10.017
[16] Н.A. Semashko, V.I. Shport, B.N. Mar’in, Acoustic Emission in Experimental Materials Science, ed. Mechanical Engineering, Moscow, 2002.
[17] Z. Nazarchuk, O. Andreykiv, V. Skalskyi, D. Rudavskyi, Acoustic emission method in the delayed fracture mechanics of structural materials. Procedia Structural Integrity, 16, 2019: 169-175. https://doi.org/10.1016/j.prostr.2019.07.037
[18] M.G. Droubi, N.H. Faisal, F. Orr, J.A. Steel, M.N. El-Shaib, Acoustic emission method for defect detection and identification in carbon steel welded joints. Journal of Constructional Steel Research, 134 (7), 2017: 28-37. https://doi.org/10.1016/j.jcsr.2017.03.012
[19] V.V. Nosov, On the principles of optimizing the technologies of acoustic-emission strength control of industrial objects. Russian Journal of Nondestructive Testing, 52 (9), 2016: 386-399. https://doi.org/10.1134/S106183091607006
[20] O. Stankevych, Valentyn Skalsky, Investigation and identification of fracture types of structural materials by means of acoustic emission analysis. Engineering Fracture Mechanics, 164, 2016: 24-34. https://doi.org/10.1016/j.engfracmech.2016.08.005
[21] A. Rai, Z. Ahmad, M.J. Hasan, J.-M. Kim, A novel pipeline leak detection technique based on acoustic emission features and two-sample Kolmogorov-Smirnov test. Sensors, 21 (24), 2021, 8247. https://doi.org/10.3390/s21248247
[22] A.V. Sokolkin, I.Y. Ievlev, S.O. Cholakh, Methods to testing bottoms of tanks for oil and oil derivatives. Russian Journal of Nondestructive Testing, 38, 2002: 113-115. https://doi.org/10.1023/A:1020546307628
[23] А. N. Kuzmin, A.B. Zhukov, D.G. Davydova, D.V. Shchitov, E.G. Akselrod, V.A. Kats, Acousticemission control in assessing the technical condition of oil and gas complex equipment. In the World of Nondestructive Testing, 20 (1), 2017: 71-80.
[24] В.V. Spiryagin, I.A. Medelyaev, A.I. Chmykhalo, Model of loss of serviceability of metal structures of a refrigeration machine evaporator. Assembling in Mechanical Engineering, Instrumentation, 11, 2019: 483-492.
[25] A. Vinogradov, A.V. Danyuk, D.L. Merson, I.S. Yasnikov, Probing elementary dislocation mechanisms of local plastic deformation by the advanced acoustic emission technique. Scripta Materialia, 151, 2018: 53-56. https://doi.org/10.1016/j.scriptamat.2018.03.036
[26] V. Marasanov, A. Sharko, Mathematical models for interrelation of characteristics of the developing sefects with the parameters of acoustic emission signals. International Frontier Science Letters, 10, 2016: 37-44, 2016. https://doi.org/10.18052/www.scipress.com/IFSL.10.37
[27] I.A. Medelyaev, V.V. Spiriagin, A.I. Chmykhalo, Experimental Assessment of the Effect of Imperfect Geometric Form of Heat Exchange Tubes on the Value of Critical Pressure. Assembling in Mechanical Engineering, Instrumentation, 12, 2019: 531-536

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)

Volume 9
Number 3
September 2024

Last Edition

Volume 9
Number 3
September 2024