Abstract
The ultrasonic and magnetic flow inspection methods of identification of crack-like defects in coated pipes are proposed. The identification of inner defects was performed using ultrasonic methods and an artificial neural network approach. Model of a pipe cross-section with an inner coating and the propagation of an ultrasonic wave were developed. A cross-section of the pipe, reinforced by inner annular coat, and the magnetic field propagation in permanent magnets were modeled. The identification of several geometric parameters of defects was carried out. The influence of different geometric parameters of the defects on the performance of neural networks is investigated. The optimal structure of the neural networks and the form of training vectors for methods of ultrasonic testing and magnetic flow inspection are established.
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References
V.G. Gerasimov, A.D. Pokrovskii, V.V. Sukhorukov, Non-Destructive Testing (High School, Moscow, 1992) (in Russian)
I. Ermolov, N. Aleshin, A. Potapov, Non-Destructive Testing (High School, Acoustic Methods of Control, Moscow, 1991) (in Russian)
M.A. Willcox, A Brief Description of NDT Techniques (NDT Equipment Limited, Toronto, 2003)
I.G. Derenskii, in Don Engineering Vestnik, vol. 1 (2011) (in Russian). http://ivdon.ru/magazine/archive/n1y2011/370
A.O. Vatul’yan, Inverse Problems in the Mechanics of Deformable Solids (Fizmatlit, Moscow, 2007) (in Russian)
D. Stegemann, B. Raj in Encyclopedia of Materials: Science and Technology, vol. 1 (2002)
P. Wang, Y. Gao, G.Y. Tian, H. Wang, NDT&E Int. 64, 7 (2014)
Y. Sun, Y. Kang, Chen Qiu, NDT&E Int. 44, 1 (2011)
B.J. Nestleroth, R.J. Davis, NDT&E Int. 40, 77 (2007)
A.N. Solov’ev, P.S. Kurbatova, N.I. Saprunov, S.N. Shevtsov, in Proceedings of the X International Conference on Current Problems of the Continuum Mechanics, Rostov-on-Don, (2006), p. 175 (in Russian)
A.S.N. Huda, S. Taib, K.H. Ghazali, M.S. Jadin, ISA Trans. 53, 717 (2014)
A.N. Soloviev, C.H. Nguyen, Vestn. Don State Tech. Univ. 14(2) (2014), p. 84 (in Russian)
A.N. Soloviev, N.D.T. Giang, S.H. Chang, in Advanced Materials: Physics, Mechanics and Applications, vol. 152. ed. by S.-H. Chang, I.A. Parinov, V.Y. Topolov (Springer Cham, Heidelberg, New York, Dordrecht, London, 2014), p. 137 (Chapter 12)
V. Novatskii, Theory of Elasticity (Mir, Moscow, 1975) (in Russian)
A.N. Solov’ev, B.V. Sobol’, A.A. Krasnoshchekov, Russ. J. Non-destruct. Test. 8, 23 (2014)
A.N. Solov’ev, Z.C. Nguen, Ecol. Vestn. Sci. Cent. ChES 1, 76 (2014) (in Russian)
R. Sikora, T. Chady, Int. J. Appl. Electromagn. Mech. 9(4), 391 (1998)
Z. Waszczyszyn, L. Ziemianski, Comput. Struct. 79(22–25), 2261 (2001)
B.V. Sobol, P.V. Vasiliev, in Proceedings of the Conference “Modern Problems of Multi-level Education”, Rostov-on-Don, 27 Sept–4 Oct 2013 (in Russian)
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This work was supported by internal Grant of DSTU and RFBR No. 14-08-00142_a.
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Soloviev, A.N., Sobol, B.V., Vasiliev, P.V. (2017). Ultrasonic and Magnetic Flow Inspection Methods of Identification of Cracks in the Pipe Coupled with Artificial Neural Networks. In: Parinov, I., Chang, SH., Jani, M. (eds) Advanced Materials. Springer Proceedings in Physics, vol 193. Springer, Cham. https://doi.org/10.1007/978-3-319-56062-5_32
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DOI: https://doi.org/10.1007/978-3-319-56062-5_32
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