Helium gas jet spectral calibration of acoustic emission transducers and systems

McBride, S. L.; Hutchison, T. S.

doi:10.1139/p76-216

Cited by 30 publications

(6 citation statements)

References 2 publications

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“…During the passive acquisition, we deployed synchronised receivers only, and used a random noise source: a 1 mm thick high pressure air jet produced by a can of compressed air [McBride and Hutchison (1976)]. The experiment conducted in a plexiglass plate show at the same time: dispersive (A 0 ) and non dispersive (S 0 ) waves, reverberations, and absorption.…”

Section: Introductionmentioning

confidence: 99%

Reconstruction of Rayleigh-Lamb dispersion spectrum based on noise obtained from an air-jet forcing

Larose

Roux

Campillo

2008

The Journal of the Acoustical Society of America

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The time-domain cross-correlation of incoherent and random noise recorded by a series of passive sensors contains the impulse response of the medium between these sensors. By using noise generated by a can of compressed air sprayed on the surface of a plexiglass plate, we are able to reconstruct not only the time of flight but the whole waveforms between the sensors. From the reconstruction of the direct A 0 and S 0 waves, we derive the dispersion curves of the flexural waves, thus estimating the mechanical properties of the material without a conventional electromechanical source. The dense array of receivers employed here allow a precise frequency-wavenumber study of flexural waves, along with a thorough evaluation of the rate of convergence of the correlation with respect to the record length, the frequency, and the distance between the receivers. The reconstruction of the actual amplitude and attenuation of the impulse response is also addressed in this paper.(accepted for publication in J. Acoust. Soc. Am. 2007)

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Section: Introductionmentioning

confidence: 99%

Reconstruction of Rayleigh-Lamb dispersion spectrum based on noise obtained from an air-jet forcing

Larose

Roux

Campillo

2008

The Journal of the Acoustical Society of America

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“…The obtained wave formcontains frequency components ranging from 100 kHz to 1 MHz. Various methods are proposed as a secondary source, such as a helium gas jet , 3) fracture of pencil leads,4) and spark plug.5) Though these techniques are easy to use, they are less repro ducibleand/or have the limited frequency range, as compared with the glass capillary method.…”

Section: Introductionmentioning

confidence: 99%

Calibration of acoustic emission sensors with laser-generated ultrasonic wave.

Matsuda¹,

Nakano²,

Muto

et al. 1992

J. Acoust. Soc. Jpn. (E), J Acoust Soc Jpn E

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Laser-generated ultrasonic wave is employed as a standard acoustic emission (AE) source to calibrate sensors. Characteristics of ultrasonic wave concerning its genera tionefficiency and directivity were investigated. By covering a transfer block with water layer, a unipolar planar pulse with 80 ns duration was efficiently generated. The surface excitation was interrogated by an optical interferometer, and subsequently measured by AE sensors. Comparing these outputs, the sensitivity of AE sensors can be determined in the wide frequency range. Experimental results on five commercial sensors are demonstrated.

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“…1). Other commonly used artificial AE sources include a glass capillary fracture [5] and a helium gas jet [6]. However, the major disadvantage with the fracture sources is that their strengths are difficult to control accurately, while the helium gas jet source is a random noise source and is somewhat irreproducible.…”

Section: Traceability For Ae Measurementmentioning

confidence: 99%

Acoustic emission traceable sensing

Jones

Yan

2005

The Journal of Strain Analysis for Engineering Design

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To date, most acoustic emission (AE) testing has been undertaken without a proper means of calibration for AE sensors in situ. The detected AE signals are significantly affected by the positioning of the sensor on a structure, machine or process, and by the variability of the sensor-structure interface. The result is AE measurements with poor repeatability and no traceability. All that is being actually measured is the voltage (or the voltage in dB with reference to 1 mV) of the AE sensor system output, whereas what is often desired is the measurement of the actual AE source or sources; these may be some distance away from the position of the AE sensor. This paper outlines a possible hierarchy of traceability for AE energy measurements through in situ calibration of the AE sensors using artificial AE energy sources: an elastic ball impact, a thermoelastic pulsed laser irradiation, and a self-calibrating conical piezoelectric transducer.

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Helium gas jet spectral calibration of acoustic emission transducers and systems

Cited by 30 publications

References 2 publications

Reconstruction of Rayleigh-Lamb dispersion spectrum based on noise obtained from an air-jet forcing

Reconstruction of Rayleigh-Lamb dispersion spectrum based on noise obtained from an air-jet forcing

Calibration of acoustic emission sensors with laser-generated ultrasonic wave.

Acoustic emission traceable sensing

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