High-precision measurement of the group velocity of ultrasound in structural materials on a small base

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Abstract

A method for high-precision measurement of the group velocity of ultrasound in millimeter-thick metal plates using a laser thermo-optical source of ultrasonic pulses is considered. Thickness-calibrated Gauge blocks are used as samples. The influence of the ultrasonic beam diffraction effect and other technical factors are taken into account. It has been experimentally shown that deconvolution of a signal with a pulse characteristic of a receiving converter, together with digital filtering, helps to reduce the dispersion of group velocity measurements – it is less than 0.2% for samples with thicknesses of 1–2 mm.

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About the authors

D. I. Makalkin

Prokhorov General Physics Institute of the Russian Academy of Sciences; MIREA – Russian Technological University

Author for correspondence.
Email: dmitrymakalkin@yandex.ru
Russian Federation, Moscow; Moscow

A. A. Karabutov

Prokhorov General Physics Institute of the Russian Academy of Sciences

Email: dmitrymakalkin@yandex.ru
Russian Federation, Moscow

E. V. Savateeva

Prokhorov General Physics Institute of the Russian Academy of Sciences

Email: dmitrymakalkin@yandex.ru
Russian Federation, Moscow

References

Supplementary files

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2. Fig. 1. Experimental setup (fragment).

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3. Fig. 2. Raw signal for a 1 mm thick sample.

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4. Fig. 3. Stages of signal processing with reflected ultrasonic pulses for a sample 1 mm thick: without processing (a), after digital filtering (b), after digital filtering and deconvolution (c).

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5. Fig. 4. Histograms of the frequency of occurrence of the group velocity value for samples of 1.000 (a), 1.500 (b) and 1.900 mm (c) without deconvolution. The average velocity value in this distribution is shown in orange, and the number in the blue frame is the largest relative deviation from the average.

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6. Fig. 5. Pulse response of the receiving converter (fragment).

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7. Fig. 6. Histograms of the frequency of group velocity value dropout for samples with thicknesses of 1.000 (a), 1.500 (b) and 1.900 mm (c) using deconvolution.

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