Improvement of the ultrasonic testing method for materials with significant attenuaton

Authors

DOI:

https://doi.org/10.15587/1729-4061.2018.122858

Keywords:

ultrasonic thickness measurement, signal phase characteristic, Hilbert transform, Hilbert-Huang transform, median filtering of signals

Abstract

We present a phase method for ultrasonic thickness measurement of materials with significant attenuation and variants for its improvement in order to increase the efficiency of detection of informative signals and the accuracy of determining their time position. At present, composite materials have become widespread in various technical fields. Various methods, including acoustic, are used for their non-destructive testing. It should be noted that a large part of such materials has significant coefficients of attenuation of acoustic oscillations. Therefore, extending the capabilities of methods for ultrasonic thickness measurement of articles made from such materials is an important task.

There are two ways that are proposed to improve the method: by using a combination of procedures for preliminary filtering of the investigated signals based on empirical mode decomposition and subsequent adaptive median filtering of r-statistics, as well as applying weight processing of r-statistics.

We carried out computerized measurement experiments, which allowed the justification of choosing the aperture of a sliding window in the devised methods; we obtained dependences of signal/noise values of the initial informative characteristics on signal/noise values of the investigated signals. It is shown that the error in determining a time position of the detected echo impulses, when using the improved methods, is 1.5–2 times less than the error when the basic method is applied.

The results obtained could be used for the development of new ultrasonic echo impulse thickness measurement devices with improved metrological characteristics.

Author Biographies

Oleksii Derhunov, National Aviation University Kosmonavta Komarova ave., 1, Kyiv, Ukraine, 03058

National Aviation University

Kosmonavta Komarova ave., 1, Kyiv, Ukraine, 03058

Yurii Kuts, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute» Peremohy ave., 37, Kyiv, Ukraine, 03056

Doctor of Technical Sciences, Professor

Department of Non-Destructive Testing Instruments and Systems

Olena Monchenko, National Aviation University Kosmonavta Komarova ave., 1, Kyiv, Ukraine, 03058

PhD, Associate Professor

Department of Information-measurement systems

Svitlana Shenhur, National Aviation University Kosmonavta Komarova ave., 1, Kyiv, Ukraine, 03058

PhD

Department of Information-measurement systems

Yurii Oliinyk, Ltd NK-Inginiring Povitroflotskiy ave., 94 A, Kyiv, Ukraine, 03151

Engineer

References

  1. Kuts, Yu., Shcherbak, L. (2009). Statistical phasometry. Ternopil, 383.
  2. Lapiga, I. (2009). Circular statistics application for accuracy improvement of ultrasonic thickness measurement. "Proceedings of ІХ Conference Polit-2009". Kyiv: NAU, 60.
  3. King, F. W. (2009). Table of selected Hilbert transforms. Hilbert Transforms. Cambridge: Cambridge University Press, 453–533. doi: 10.1017/cbo9780511735271.011
  4. Bendat, J. S., Piersol, A. G. (2010). Random Data: Analysis and Measurement Procedures. Hoboken: John Wiley & Sons, Inc., 640. doi: 10.1002/9781118032428
  5. Karthik, N., Gu, H., Pal, D., Starr, T., Stucker, B. (2013). High Frequency Ultrasonic Non Destructive Evaluation of Additively Manufactured Components. 24th Annual Int. Solid Freeform Fabr. Austin, TX, 311–325.
  6. Carcreff, E., Bourguignon, S., Idier, J., Simon, L., Duclos, A. (2013). Including frequency-dependent attenuation for the deconvolution of ultrasonic signals. Proceedings of Meetings on Acoustics, 19 (1), 055029. doi: 10.1121/1.4800850
  7. Tucker, B. J., Diaz, A. A., Eckenrode, B. A. (2006). Advanced ultrasonic measurement methodology for non-invasive interrogation and identification of fluids in sealed containers. Nonintrusive Inspection, Structures Monitoring, and Smart Systems for Homeland Security. doi: 10.1117/12.660439
  8. Huang, N. E., Shen, S. S. P. (Eds.) (2005). Hilbert-Huang transform and its Applications. CRC press, 324. doi: 10.1142/9789812703347
  9. Huang, N. E., Attoh-Okine, N. O. (Eds.) (2005). The Hilbert-Huang transform in Engineering. CRC Press, 328. doi: 10.1201/9781420027532
  10. Lu, Y., Oruklu, E., Saniie, J. (2008). Application of Hilbert-Huang transform for ultrasonic nondestructive evaluation. 2008 IEEE Ultrasonics Symposium. doi: 10.1109/ultsym.2008.0365
  11. Derhunov, O., Kuts, Yu. (2015). Pat. No. 103513 UA. Sposib adaptyvnoi mediannoi filtratsiyi impulsnykh syhnaliv. MPK G06F 7/02. No. u201504262; declareted: 30.04.2015; published: 25.12.2015, Bul. No. 24.

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Published

2018-02-06

How to Cite

Derhunov, O., Kuts, Y., Monchenko, O., Shenhur, S., & Oliinyk, Y. (2018). Improvement of the ultrasonic testing method for materials with significant attenuaton. Eastern-European Journal of Enterprise Technologies, 1(9 (91), 54–61. https://doi.org/10.15587/1729-4061.2018.122858

Issue

Section

Information and controlling system