Browse > Article
http://dx.doi.org/10.1016/j.net.2020.11.025

Computational mechanics and optimization-based prediction of grain orientation in anisotropic media using ultrasonic response  

Kim, Munsung (School of Mechanical Engineering, Sungkyunkwan University)
Moon, Seongin (Korea Atomic Energy Research Institute)
Kang, To (Korea Atomic Energy Research Institute)
Kim, Kyongmo (Korea Atomic Energy Research Institute)
Song, Sung-Jin (School of Mechanical Engineering, Sungkyunkwan University)
Suh, Myungwon (School of Mechanical Engineering, Sungkyunkwan University)
Suhr, Jonghwan (School of Mechanical Engineering, Sungkyunkwan University)
Publication Information
Nuclear Engineering and Technology / v.53, no.6, 2021 , pp. 1846-1857 More about this Journal
Abstract
Ultrasonic nondestructive testing is important for monitoring the structural integrity of dissimilar metal welds (DMWs) in pressure vessels and piping in nuclear power plants. However, there is a low probability of crack detection via inspection of DMWs using ultrasonic waves because the grain structures (grain orientations) of the weld area cause distortion and splitting of ultrasonic beams propagating in anisotropic media. To overcome this issue, the grain orientation should be known, and a precise ultrasonic wave simulation technique in anisotropic media is required to model the distortion and splitting of the waves accurately. In this study, a method for nondestructive prediction of the DMW grain orientations is presented for accurate simulation of ultrasonic wave propagation behavior in the weld area. The ultrasonic wave propagation behavior in anisotropic media is simulated via finite-element analysis when ultrasonic waves propagate in a transversely isotropic material. In addition, a methodology to predict the DMW grain orientation is proposed that employs a simulation technique for ultrasonic wave propagation behavior calculation and an optimization technique. The simulated ultrasonic wave behaviors with the grain orientations predicted via the proposed method demonstrate its usefulness. Moreover, the method can be used to determine the focal law in DMWs.
Keywords
Dissimilar metal welds; Anisotropy; Grain orientation; Computational mechanics; Optimization; Ultrasonic wave;
Citations & Related Records
연도 인용수 순위
  • Reference
1 H. Sun, H. Waisman, R. Betti, A sweeping window method for detection of flaws using an explicit dynamic XFEM and absorbing boundary layers, Int. J. Numer. Methods Eng. 105 (2016) 1014-1040.   DOI
2 H.-H. Kim, et al., Simulation based investigation of focusing phased-array ultrasound in dissimilar metal welds, Nuclear Engineering and Technology 48 (2016) 228-235.   DOI
3 H. Shah Hosseini, et al., Characterization of microstructures and mechanical properties of Inconel 617/310 stainless steel dissimilar welds, Mater. Char. 62 (4) (2011) 425-431.   DOI
4 J. Ye, H.-J. Kim, S.-J. Son, S.-S. Kang, K. Kim, M.-H. Song, Model-based simulation of focused beam fields produced by a phased-array ultrasonic transducer in dissimilar metal welds, NDT&E International 44 (2011) 290-296.   DOI
5 J.A. Ogilvy, Computerized ultrasonic ray tracing in austenitic steel, NDT&E International 18 (2) (1985) 67-77.   DOI
6 A. Apfel, J. Moysan, G. Corneloup, T. Fouquet, B. Chassignole, Coupling an ultrasonic propagation code with a model of the heterogeneity of multipass weld to simulate ultrasonic testing, Ultrasonics 43 (2005) 447-456.   DOI
7 J. Ye, J. Moysan, S.J. Song, H.J. Kim, B. Chassignole, C. Gueudre, O. Dupond, Influence of welding passes on grain orientation - the example of a multi-pass V-weld, Int. J. Pres. Ves. Pip. 93 (94) (2012) 17-21.
8 Dassault, ABAQUS Version 6.14. User's Manual, Dassault Systems Simulia, 2018.
9 H. Sun, et al., A sweeping window method for detection of flaws using an explicit dynamic XFEM and absorbing boundary layers, Int. J. Numer. Methods Eng. 105 (2016) 1014-1040.   DOI
10 M.B. Drozdz, Efficient Finite Element Modeling of Ultrasound Waves in Elastic Media, Ph.D. Thesis, Imperial College of Science Technology and Medicine, 2008.
11 S. Moon, S. Han, T. Kang, S, Han, M. Kim. Model-based Localization and Mass-Estimation Methodology of Metallic Loose Parts. NET, (available online).
12 H. Jeong, Time reversal-based beam focusing of an ultrasonic phased-array transducer on target in anisotropic and inhomogeneous welds, Mater. Eval. 72 (5) (2014) 589-596.
13 J.A. Ogilvy, Ultrasonic reflection properties of planar defects within austenitic welds, Ultrasonics 24 (1988) 318-327.   DOI
14 J.A. Ogilvy, An iterative ray tracing model for ultrasonic nondestructive testing, NDT&E International 25 (1992) 3-10.   DOI
15 A. Apfel, J. Moysan, G. Corneloup, B. Chassignole, Simulations of the Influence of the Grains Orientations on Ultrasounds Propagation, 16th World Conference on Nondestructive Testing (WCNDT 2004), September 2004. Montreal (Canada).
16 H. Sun, et al., Simultaneous identification of structural parameters and dynamic input with incomplete output-only measurements, Struct. Contr. Health Monit. 21 (6) (2014) 868-889.   DOI
17 J. Moysan, A. Apfel, G. Corneloup, B. Chassignole, Modeling the grain orientation of austenitic stainless steel multipass welds to improve ultrasonic assessment of structural integrity, Int. J. Pres. Ves. Pip. 80 (2003) 75-85.   DOI
18 A. Gezaei Abera, et al., Prediction of grain orientation in dissimilar metal weld using ultrasonic response of numerical simulation from deliberated scatters, Int. J. Pres. Ves. Pip. 168 (2018) 1-10.   DOI
19 J.A. Ogilvy, Ultrasonic bean profiles and beam propagation in an austenitic weld using a theoretical ray tracing model, Ultrasonics 24 (1986) 337-347.   DOI
20 J.A. Ogilvy, A layered media model for ray propagation in anisotropic inhomogeneous materials, Appl. Math. Model. 18 (2) (1990) 237-247.   DOI