A minimum hydrophone bandwidth for undistorted cavitation noise measurement

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13. 15. května 2008 A minimum hydrophone bandwidth for undistorted cavitation noise measurement Karel Vokurka a, Silvano Buogo b a Physics Department, Technical University of Liberec, Studentská 2, 461 17 Liberec, Czech Republic b CNR Istituto di Acustica O.M.Corbino, via del Fosso del Cavaliere, 100 00133 Roma, Italy karel.vokurka@tul.cz Abstract When measuring cavitation noise, the hydrophone represents a critical part in an acquisition chain because of its limited bandwidth. In this paper a minimum hydrophone s bandwidth required for undistorted cavitation pulses recording is examined. The procedure suggested in the paper is used to verify the validity of the recorded waves radiated by bubbles generated by underwater spark discharges. Extrapolation formulas for determining the necessary hydrophone s bandwidth when smaller or larger bubbles than generated in this work are studied are also suggested. 1 INTRODUCTION Cavitation noise can be described as a superposition of many random pressure pulses [1]. Each of these pressure pulses has been radiated by an oscillating cavitation bubble and is therefore carrying information regarding properties of this bubble. To be able to extract this information, the true form of the pressure pulses must be recorded as precisely as possible. To cope with this task one needs a measuring apparatus with a suitable bandwidth extending from some lower cutoff frequency f l to some upper cutoff frequency f u. A typical apparatus for cavitation noise recording consists of a measuring hydrophone, preamplifier and data acquisition device. At present time preamplifiers and data acquisition boards are available having a band-pass fulfilling even the most demanding requirements. However, a typical electro-acoustic transducer usually has a rather limited bandwidth. Thus the critical part in the measurement chain is the hydrophone. 99

In the following we shall describe a procedure we used to determine the required minimum hydrophone s bandwidth. The procedure is based on processing measured records of waves radiated by oscillating spark generated bubbles. The aim of this research was to find out which records can be considered to be reliable and to find extrapolation formulas usable in planning next experiments. 2 EXPERIMENTAL SETUP The experimental setup used to study the minimum hydrophone s bandwidth is schematically shown in Fig. 1. The oscillating bubbles have been generated in a water tank using spark discharges. The spark discharges have been initiated between two electrodes made of tungsten wire of diameter 1.3 mm submerged in water at a depth of 2.75 m. The electrodes have been connected to a condenser bank, the capacity of which could be varied between 40 μf and 360 μf. The condensers have been charged from a high voltage source to about 2.5 kv. The laboratory water tank had dimensions 6 x 4 x 5 m. Figure 1. Experimental setup used to study spark generated bubbles The pressure waves radiated by the oscillating bubbles have been recorded using a broadband hydrophone (Reson, type TC 4034) with a nominal usable frequency range from 1 Hz to 470 khz (+3 db, -10 db) and a nominal receiving sensitivity of 216.5 db re 1V/μPa. The hydrophone has been positioned at a distances r from the 100

bubble center ranging from 0.1 to 0.5 m. The hydrophone has been connected to a data acquisition board (National Instruments, type NI 6115) having a resolution of 12 bits and sampling frequency 10 MHz. The length of each record has been set to 20 000 samples. 3 PRESSURE RECORDS An example of a pressure wave radiated by an oscillating bubble is given in Fig. 2. The recorded wave consists of an initial pulse radiated during the spark discharge and of several sharp pressure pulses called bubble pulses radiated when the bubble is compressed to a minimum volume. The peak pressure of the first bubble pulse p p1 is a very important quantity as it can be used to describe the bubble oscillation intensity. For this purpose it is convenient to define a non-dimensional peak pressure p zp1 [2] p p r p1 zp1 =. (1) p RM 1 Here p is an ambient pressure at the place of the hydrophone, R M1 is a first maximum bubble radius and r is a distance of the hydrophone from the bubble center. Figure 2. Pressure wave radiated by a spark bubble 101

The first maximum bubble radius, R M1, can also be determined from the pressure records. Denoting the time interval between the initial pulse and the first bubble pulse as T o1 (the time of the first bubble oscillations), then [2] R M1 = T 1.84 o1 ρ p. (2) Here ρ is the liquid density. The first maximum bubble radius, R M1, thus determined, will be used in the following not only when computing p zp1 from eq. (1), but also as a suitable measure of the bubble size. It follows from the above discussion that the proper recording of p p1 is very important for assessing the intensity of bubble oscillations. Unfortunately, determining the true value of p p1 is not a simple task because p p1 is very sensitive to the bandwidth of the recording apparatus and we have no prior knowledge of its real value. Figure 3. Energy spectral densities of two recorded waves. The 1 st record (blue): R M1 =24.7 mm, p zp1 =131, the 2 nd record (green): R M1 =41.3 mm, p zp1 =26.8 Energy spectral densities (ESD) of two recorded pressure waves are shown in Fig. 3. The records used to compute the ESD displayed in Fig. 3 have been selected in 102

such a way as to represent two distinct cases: a small intensively oscillating bubble and a larger bubble oscillating with low intensity. As can be seen, at the middle frequency range the spectra decrease with frequency f with a slope of about 5 db/decade in the case of the intensively oscillating bubble and with a slope of about 8 db/decade in the case of the less intensively oscillating bubble. At high frequencies the fall of both spectra is much steeper. It is about 60 db/decade for the intensively oscillating bubble and about 40 db/decade for the less intensively oscillating bubble. At low frequencies the spectra grow with a slope of about 40 db/decade. It can also be seen that the frequency, at which the ESD has a maximum, depends on R M1. For the larger bubble the maximum in the spectrum is located at about 200 Hz, while for the smaller bubble it is located at about 400 Hz. 4 ESTIMATE OF THE MINIMUM BANDWITH A rough estimate of the necessary bandwidth for correct waveform recording can be drawn from Fig. 3. As the hydrophone s usable bandwidth starts as low as at f lh =1 Hz, there is no doubt that the low frequency components in the waveform have been recorded properly. However, it is not clear at all whether the upper cutoff frequency of the hydrophone, f uh =470 khz, is satisfactory for our measurements. The basic problem in this respect is the fact that we do not know which recorded waveform is a reliable copy of the radiated pressure wave and which recorded waveform has been distorted during acquisition due to insufficient hydrophone s bandwidth. And this is true in the case of the most interesting waveforms radiated by small intensively oscillating bubbles first of all. It is the aim of this Section to throw some light on this problem. An oscillating bubble is described by its size, R M1, and by intensity of oscillations, p zp1 [2]. And as already shown in Fig. 3, the small and most intensively oscillating bubbles radiate waves the spectra of which extend to very high frequencies, and may even exceed the frequency f uh. To determine the minimum allowable value of f uh from experimental records, two approaches have been used. The first approach is based on computing the ESD of a record and determining a frequency, within the upper steep spectrum slope, at which the spectrum level has just dropped by about 40 db as compared with the maximum value at the spectrum. This frequency is denoted as f 40. It is then assumed that all important frequency components of the radiated pressure wave have frequencies lower than f 40. It is also hoped that, should the filtering of the high frequency components occur, due to the insufficient value of f uh, then this effect could be detected by comparing the values of f 40 from the pressure records corresponding to similar values of p zp1. 103

Frequencies f 40 have been computed for all available records. Variation of the computed values of f 40 with R M1 is displayed in Fig. 4. As can be seen in Fig. 4, in accordance with our expectation, f 40 is growing with p zp1 first of all. It is also growing partially when the bubble size R M1 is decreasing. However, the dependence of f 40 on p zp1 is dominant. For bubbles oscillating with small or moderate intensities (p zp1 <100), f 40 evidently falls below f uh. However, there may be some doubts in the case of small and most intensively oscillating bubbles. Figure 4. Variation of f 40 with R M1. ο - (p zp1 >100), - (100> p zp1 >80), + - (80> p zp1 >60), - (60> p zp1 >40), - (40> p zp1 ) The second approach we used to determine the minimum allowable frequency f uh is based on passing a recorded signal repeatedly through a low-pass filter whose upper cutoff frequency f uf can be varied. After each signal passage the filter upper cutoff frequency f uf has been partially lowered. The peak pressure p p1 of the unfiltered and filtered signals have been compared. The procedure started with f uf =1 MHz and terminated when the peak pressure p p1 in the filtered signal dropped about 5%. The corresponding upper cutoff frequency of the filter has been designed f ub and the whole procedure has been repeated with a new record. All available records have been examined in this way. Variation of the computed f ub with R M1 is given in Fig. 5. 104

Figure 5. Variation of f ub with R M1. ο - (p zp1 >100), - (100> p zp1 >80), + - (80> p zp1 >60), - (60> p zp1 >40), - (40> p zp1 ) As can be seen in Fig 5, the upper cutoff frequency of the hydrophone f uh was high enough to acquire most records with sufficient fidelity. However, some records, namely those corresponding to small R M1 and high p zp1 could be distorted due to insufficient f uh. The results obtained are useful not only to check the validity of measured signals. Another very useful application is the extrapolation of our data to obtain estimates of f ub even for smaller or larger bubbles than examined here. Two possible extrapolation curves are given in Fig. 5. One curve corresponds to the highest intensities of the bubble oscillations (p zp1 >100) and one to the lowest intensities of the bubble oscillations (p zp1 <40). The corresponding extrapolation formulas are and 9000 f ub = [khz, mm], p zp1 >100 (3) R M 1 2000 f ub = [khz, mm], p zp1 <40 (4) R M 1 respectively. 105

As it can be seen, in the case of small bubbles oscillating with high intensities (the upper left corner in Fig. 5) the calculated points of f ub lay under the extrapolation curve (3). This might be due to the record distortion because of insufficient hydrophone s frequency f uh or because these bubbles are not scaling bubbles, for which the extrapolation curve has been designed. Even though the hydrophone s lower cutoff frequency f lh represented no problem in our measurements, it can be useful to determine the allowable maximum hydrophone s cutoff frequencies f lh and to find the corresponding extrapolation formulas for cases when a hydrophone with a higher f lh is available or bubbles of different sizes then examined here are generated. To solve this problem a procedure similar to finding f ub has been used. Each record has been passed through a high-pass filter repeatedly and the lower cutoff frequency of the filter f lf has been increased partially after each signal passage. The peak pressure p p1 of the unfiltered and filtered signals have been compared again. The procedure started with a filter having f lf =10 Hz and terminated when the peak pressure p p1 in the filtered signal dropped about 5%. The corresponding lower cutoff frequency of the filter has been designated f lb and the whole procedure has been repeated with a new record. In this way all the available records have been examined again. Variation of the computed values of f lb with R M1 is shown in Fig. 6. Figure 6. Variation of f lb with R M1. ο - (p zp1 >100), - (100> p zp1 >80), + - (80> p zp1 >60), - (60> p zp1 >40), - (40> p zp1 ) 106

In Fig. 6 two extrapolation curves are also displayed. One curve corresponds to high intensities of bubble oscillations (p zp1 >100) and the other to low intensities (p zp1 <40). In the first case the extrapolation formula is and in the second case it is 21000 f lb = [Hz, mm], p zp1 >100 (5) R M1 6000 f lb = [Hz, mm]. p zp1 <40 (6) R M 1 As can be seen in Fig. 6, now the two curves fit the displayed data points relatively well. However, this could be expected as the frequency f lh is much lower than all f lb and thus no distortion due to the insufficiently low f lh should occur. To show possible application of the above formulas let us consider a following example. In the case of experiments with a single bubble oscillations (SBO) [3] the generated bubble has a size of about R M1 =0.1 mm typically and it is assumed that it oscillates with the highest intensity (p zp1 >100). In planning experiments for recording acoustic emission from SBO, the necessary hydrophone s bandwidth must be determined. From formula (5) one obtains immediately that f lb =210 khz and from formula (3) it follows that f ub =90 MHz. Thus the hydrophone s usable bandwidth should extend from about 100 khz to 100 MHz. 5 CONCLUSIONS Two procedures have been suggested to find the optimum hydrophone s bandwidth. The methods made it possible to verify whether the experimentally determined records of the bubble pulses can be considered to be valid. Extrapolation formulas have also been suggested. These formulas make it possible to determine the necessary hydrophone s bandwidth when new experiments are planned. ACKNOWLEDGMENTS This work has been partly (K.V.) supported by the Ministry of Education of the Czech Republic as the research project MSM 467 478 8501. 107

REFERENCES [1] F. R. Young: Cavitation. Imperial College Press, London 1999. [2] K. Vokurka: A method for evaluating experimental data in bubble dynamics studies. Czech. J. Phys. B36, 1986, 600 615. [3] J. Plocek: Acoustic emission from a single bubble cavitation measurement procedure. 72 th Acoustics Seminar of the Czech Acoustical Society, Sezimovo Ústí, May 9 11, 2006. Proceedings: Czech Acoustical Society, M. Brothánek and R. Štěchová, Eds., pp. 83 89 (In Czech). 108