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FIFTH CANADIAN CONFERENCE ON NONDESTRUCTIVE ... - IAEA

FIFTH CANADIAN CONFERENCE ON NONDESTRUCTIVE ... - IAEA

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function is approximated by a Gaussian distribution then it is multiplied by the relative pressure<br />

amplitude function to produce the expected frequency spectrum of a signal reflected from a void.<br />

The expected frequency spectra so calculated have both amplitude and phase components making it<br />

possible to obtain the real time signals and the magnitude frequency spectra expected. However, only<br />

relative amplitudes of the time signals and magnitude spectra can be determined since the exact<br />

pressure at the focus is not known. Shape comparisons between measured and calculated signals and<br />

spectra are possible and are shown below.<br />

III. EXPERIMENTS<br />

Figure 1 shows the experimental set-up used. The commercial focussed immersion transducer has a<br />

piezo-electric ceramic element and is labelled as 25 MHz resonant frequency. It has a 6.2 mm element<br />

and a focal length of 25 mm in water making it a F/4 class. Signals reflected from the sample are<br />

picked-up by the same transducer and routed to the amplifier and gating electronics; they are then<br />

passed to an oscilloscope and a spectrum analyzer. First, the samples were scanned ultrasonically to<br />

pinpoint the defects. Then the transducer was positioned and refocussed to yield the maximum signal<br />

from the void on the oscilloscope and the trace was recorded photographically. A frequency spectrum<br />

was made of the returned signals by means of a spectrum analyzer and this was also photographed;<br />

however, noise from the gating electronics obscured the spectrum of signals from small bubbles<br />

pointing to the need of improved gating circuitry, to improve the signal-to-noise ratio. Oscilloscope<br />

trace photographs for select voids were enlarged and digitized on a graphics tablet so that they could<br />

be Fourier transformed by computer to obtain frequency spectra without interfering noise. From<br />

these spectra, frequency measurements could be made accurately. Figure 2 shows the typical signal<br />

reflected from the flat surface of the samples and its corresponding frequency spectrum. The shape of<br />

this spectrum was theoretically approximated by a Gaussian distribution with a centre frequency of<br />

30 MHz and a full width at half maximum of 16 MHz (Figure 3) for use in the calculations.<br />

IV. RESULTS<br />

Figure 4 a-d is representative of the voids examined. Shown in (a) is a photograph of the void giving<br />

the major pnd minor cross-sectional dimensions; in (b) the signal trace of the void from the<br />

oscilloscope; in (c) a photograph of the spectrum analyzer trace, and in (d) a plot of the frequency<br />

spectrum as calculated from the Fourier transform of the digitization of the oscilloscope trace. (Note<br />

the absence of noise on this trace). The shape of the signals and spectra, changes with void<br />

dimensions. In order to quantify these changes, the frequency at maximum amplitude and frequency<br />

full width at half maximum (FWHM) were measured.<br />

Figures 5 and 6, a and b are measured and calculated frequency spectra for void diameters of 49 urn<br />

and 132 urn. The calculated spectra have been determined for a shock pulse and glass matrix<br />

parameters ct = 5660 ms 1 and C|/cr = 1.67, which are average values for crown glass. Rather than<br />

a one to one comparison of measured to calculated frequency spectra, repeated calculations have been<br />

performed to generate plots of frequency at maximum amplitude versus void diameter (Figure 7a)<br />

and frequency FWHM versus void diameter (Figure 7bl

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