Skip to main content
SpringerLink
Log in

Obtaining flaw images by the SAFT method taking the variable velocity of sound in a test object into account

  • Acoustic Methods
  • Published:
Russian Journal of Nondestructive Testing Aims and scope Submit manuscript

Abstract

A modification of the SAFT method for obtaining flaw images in test objects containing three regions with different velocities of sound (SV) is proposed. Complex composite welded joints and repair welds are classified as objects in which the SV in a welded joint may differ from the velocity in a parent metal by >5%; therefore, a high-quality image of flaws can be obtained by taking different SVs into account. To solve this problem, a method for obtaining a test object with three regions with different SVs is proposed. The delays of propagating ultrasonic pulses were calculated using the Fermat principle. The results of reconstructing flaw images in a 300 welded joint from echo signals obtained as a result of numerical simulation by the finite-element method are presented. The images obtained by the SAFT method without taking different SVs into account are displaced from their true position, thus they do not allow determination of their coordinates and location. Consideration of different SVs allows one to obtain unshifted reflections of flaw images and, hence, evaluate the types and dimensions of flaws more accurately.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Ogilvi, I.A., Ultrasonics Beam Profiles and Beam Propagation in Austenitic Weld Using a Theoretical Ray Tracing Model, Ultrasonics, 1986, no. 11, pp. 337–347.

  2. Aleshin, N.P. and Gornaya, S.P., New Approach to Optimization of Austenitic Welded Joints, V Mire Nezrazrush. Kontr., 2003, no. 1 (19), pp. 16–18.

  3. Thomson, R.N., A Portable System for High Resolution Ultrasonic Imaging on Site, Brit. J. Non-Destruct. Test., 1984, vol. 26, no. 7, pp. 281–285.

    Google Scholar 

  4. Johnson, J.A. and Barna, B.A., The Effects of Surface Mapping Corrections with Synthetic-Aperture Focusing Techniques on Ultrasonic Imaging, IEEE Transact. Son. Ultrason., 1983, vol. 30, no. 5, pp.283–294.

    Google Scholar 

  5. Plis, A.I., Babin, M.V., and Zheleznyakov, V.A., On the Problem of Direct Reconstruction of the Spatial Structure of Acoustic Sources, Pis’ma ZhTF, 1981, vol. 8, no. 2, pp. 83–86.

    Google Scholar 

  6. Akustika okeana (Acoustics of Ocean), Brekhovskikh, L.M., Ed., Moscow: Nauka, 1974.

    Google Scholar 

  7. Klei, K. and Medvin, G., Akusticheskaya okeanografiya (Acoustic Oceanography), Zhitkovskii, Yu.Yu., Ed., Moscow: Mir, 1980.

    Google Scholar 

  8. Kravtsev, Yu.A. and Orlov, Yu.I., Geometricheskaya optika neodnorodnykh sred (Geometrical Optics of Inhomogeneous Media), Moscow: Nauka, 1980.

    Google Scholar 

  9. Marklein, R., Langenberg, K.J., Mayer, K., et al., Recent Applications and Advances of Numerical Modeling and Wavefield Inversion in Nondestructive Testing, Advances in Radio Science, 2005, no. 3, pp. 167–174.

  10. Shlivinski, A. and Langenberg, K.J., Defect Imaging with Elastic Waves in Inhomogeneous-Anisotropic Materials with Composite Geometries, Ultrasonics, 2007, vol. 46, no. 1, pp. 89–104.

    Article  CAS  Google Scholar 

  11. Burov, V.A., Sergeev, S.N., and Shurup, A.S., The Role of Selection of Basis Functions in Problems of Acoustic tomography of Ocean, Akust. Zh., 2007, vol. 53, no. 6, pp. 791–808.

    Google Scholar 

  12. Goryunov, A.A. and Saskovets, A.V., Obratnye zadachi rasseyaniya v akustike (Inverse Scattering Problems in Acoustics), Moscow: Mosk. Gos. Univ., 1989.

    Google Scholar 

  13. Born, M. and Wolf, E., Principles of Optics, Oxford: Pergamon, 1970.

    Google Scholar 

  14. Rogers, D. and Adams, J., Matematicheskie osnovy mashinnoi grafiki (Mathematical Fundamentals of Computer Graphics), Moscow: Mir, 2001.

    Google Scholar 

  15. NVIDIA SUDATM Technology, httr://www.nvidia.ru/objest/suda-what_is_ru.htmlCUDA.

  16. Zenkevich, O., Metod konechnykh elementov v tekhnike (Finite-Element Method in Technology), Moscow: Mir, 1975.

    Google Scholar 

  17. Bazulin, E.G., Vopilkin, A.Kh., and Tikhonov, D.S., Prospects of Applying Antenna Arrays for Automated Ultrasonic Testing, V Mire Nerazrush. Kontr., 2010, no. 3 (49) (in press).

  18. Bazulin, A.E. and Bazulin, E.G., Deconvolution of Complex Echo Signals by the Maximum-Entropy Method in Ultrasonic Nondestructive Testing, Acoust. Zh., 2009, vol. 55, no. 6, pp. 772–783.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. OOO Scientific and Production Center EKhO+, pl. Akademika Kurchatova 1, Moscow, 123182, Russia

    E. G. Bazulin

Authors
  1. E. G. Bazulin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to E. G. Bazulin.

Additional information

Original Russian Text © E.G. Bazulin, 2010, published in Defektoskopiya, 2010, Vol. 46, No. 11, pp. 3–13.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bazulin, E.G. Obtaining flaw images by the SAFT method taking the variable velocity of sound in a test object into account. Russ J Nondestruct Test 46, 789–797 (2010). https://doi.org/10.1134/S106183091011001X

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S106183091011001X

Keywords

Search

Navigation