WO1992005439A1 - Resonant ultrasound spectroscopy - Google Patents

Resonant ultrasound spectroscopy Download PDF

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Publication number
WO1992005439A1
WO1992005439A1 PCT/US1991/006703 US9106703W WO9205439A1 WO 1992005439 A1 WO1992005439 A1 WO 1992005439A1 US 9106703 W US9106703 W US 9106703W WO 9205439 A1 WO9205439 A1 WO 9205439A1
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WO
WIPO (PCT)
Prior art keywords
resonant
response
interval
frequency range
distribution
Prior art date
Application number
PCT/US1991/006703
Other languages
French (fr)
Inventor
Albert Migliori
Original Assignee
United States Department Of Energy
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by United States Department Of Energy filed Critical United States Department Of Energy
Priority to CA002069097A priority Critical patent/CA2069097A1/en
Priority to DE4192220T priority patent/DE4192220T1/en
Publication of WO1992005439A1 publication Critical patent/WO1992005439A1/en

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Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/04Analysing solids
    • G01N29/12Analysing solids by measuring frequency or resonance of acoustic waves

Definitions

  • the present invention relates to ultrasonics and, more particularly, to the ultrasonic resonant response of components. This invention is the result of a contract
  • Ultrasonics has a number of applications to the determination of various material and component characteristics. In one application, the transmission of
  • the thickness of a component is determined from the resonant response of a portion of the component located adjacent a transmitter/receiver transducer.
  • 15 applications generally require transducer access to a flat surface in proximity to a localized volume of the component to be measured.
  • Yet another application involves modal analysis, where the acoustic resonances of a component are excited and the response amplitudes are measured to predict
  • One other object is to provide an acoustic signature that is relatively insensitive to uncontrolled variables such as temperature and acoustic coupling.
  • the method of this invention may comprise characterizing an object by resonant ultrasound spectroscopy. Acoustic waves are applied to an object and swept over a predetermined frequency range. The resonant spectrum of the object is determined over the predetermined frequency range. The frequency distribution of the resonance response peaks over the frequency range is then characterized to form a unique signature to structurally identify the object.
  • a series of relatively small response intervals are defined within the entire frequency range and the number of resonant response peaks within each interval is determined.
  • the density of the resonant response peaks in each small interval is then determined to form the unique characterization of the object.
  • Other characterizations may utilize a conventional Gaussian curve for weighting the response peak density over the entire frequency range and a simple histogram with windows uniformly distributed over the frequency range.
  • FIGURE 1 is a schematic diagram in block diagram form of apparatus for performing resonant ultrasound spectroscopy.
  • FIGURE 2A graphically depicts a resonance spectrum from a first object.
  • FIGURE 2B graphically depicts a stepped interval resonance characterization of the first object calculated from the resonance response shown in FIGURE 2A.
  • FIGURE 2C graphically depicts a Gaussian characterization calculated from the resonance response shown in FIGURE 2A.
  • FIGURE 2D graphically depicts a histogram characterization calculated from the resonance response shown in FIGURE 2A.
  • FIGURE 3A graphically depicts a resonance spectrum from a second object.
  • FIGURE 3B graphically depicts a stepped interval resonance characterization of the second object calculated from the resonance response shown in FIGURE 3B.
  • FIGURE 3C graphically depicts a resonance characterization calculated from the resonance response shown in FIGURE 3A.
  • FIGURE 3D graphically depicts a resonance characterization calculated from the resonance response shown in FIGURE 3A.
  • Every object by virtue of its shape, size and physical properties (e.g., elastic moduli, speed of sound, density, etc.) can be made to resonate, i.e., vibrate resonantly, at a multitude of frequencies if its ultrasonic attenuation is low enough.
  • the number of observable resonant frequencies depends upon the geometrical complexity of the object, its ultrasonic attenuation, and the various modes of vibration possible, e.g., bulk mode, shear mode, torsional mode, etc. Even an object as simple as a metal cube has a large number of observable resonant frequencies.
  • a complex object may possess thousands of resonant frequencies ranging from a few thousand hertz to a few megahertz , for typical objects that might be tested. These resonant frequencies provide an acoustic signature of a given object that can be formed into a unique characterization of the object and is not dependent on amplitude of the response or subject to the many
  • a resolution can be selected to enable the characterization to serve as a signature for object selection or a quality control measure.
  • the signature serves to compare two objects, including their internal compositions, within selected
  • test object JLO located within a transducer assembly 12 with a transmit transducer 2 ⁇ a "d a receive transducer 35 contacting object 1_ .
  • the locations of transducers 14. and .16 . on object .10 are not critical, although transducers 14 and 0 16 should be similarly located on similar objects in order to provide best comparative results.
  • the locating surfaces on object 0 are not required tc be flat and only a mechanical point contact is adequate for the present technique. Likewise, there is no requirement to optimize 5 acoustic coupling between a transducer and a surface of object 10.
  • Frequency sweep generator S outputs a signal to transmit transducer .14. that is effective for exciting object 10 with acoustic waves having a frequency that is ; swept over a predetermined frequency range.
  • the frequency range is preferably selected to yield resonant responses that are independent of the environment, e.g. the mounting structure supporting object 10 . , ground vibrations, etc., and to contain a large number of resonances from object 10.
  • the size and physical features of object l_0 determine the frequency range and the required accuracy for the measurements. Typically, if the physical difference between a reference object and an object under test is at least 1%, the difference should be detectable.
  • transducer ___ The response of object U) is detected by transducer ___, amplified by amplifier 2 . 2 and provided to detector 2_4.
  • a suitable detector is described in U.S. Patent Application s.N. 406,007, referenced above, although many other detectors are available.
  • the response is converted to digital form by A/D converter 2_6 for further processing.
  • Computer 2__ communicates with frequency sweep generator 18 and A/D converter ___ along bus 32., an IEEE 488 bus.
  • Computer 2 L controls the sweep rate of generator 18 and receives frequency data to correlate with response data from A/D converter 2__.
  • Computer ___ further performs the resonant peak analysis according to the present invention to form a unique characterization of object 0 with a selected sensitivity. Any of a number of available software routines may be used to identify the frequencies of the resonance peaks.
  • the object characterization of the present invention is formed by first determining the frequency of each resonant response peak along the entire frequency range of interest. The distribution of the resonant response frequencies is then characterized to form a unique acoustic signature for the object. In one method cf forming the signature, a relatively small response interval is defined for stepping over the overall frequency range. of resonant response peaks is then determined over each of the relatively small response intervals. The number of resonant peaks in the small interval at each step is plotted as a function of frequency to form one unique object characterization.
  • ⁇ i ⁇ _F.; , where k is the step interval width.
  • resonant frequencies may be selected to form a unique characterization with different sensitivities to differences between components.
  • a Gaussian function may be used over the entire interval as a weighting function that slides across the resonance spectrum. The Gaussian signature plot becomes
  • a simple histogram may be formed, with a histogram signature plot formed as
  • an appropriate frequency range is chosen from 200 kHz to 400 kHz and the sweep generator is stepped at intervals of 100 Hz over this range.
  • the response of the object is recorded at each step to generate a resonant response spectrum.
  • This total response is then reduced to a characterization that is relatively insensitive to uncontrolled variables, such as temperature, and that has a variable selectivity determined by the width selected for the small response interval.
  • a relatively small response interval is selected, e.g., 2000 Hz, and is incremented along the entire frequency range in steps corresponding to the sweep steps.
  • the number of resonant response peaks is then calculated within the small response interval at each step.
  • one counting interval would be between 200 kHz and 202 kHz, another interval between 200.1 kHz and 202.1 kHz, etc.
  • a total of 1980 peak densities would be obtained corresponding to each of the interval steps.
  • the distribution of resonant peak densities as a function of frequency then forms the unique object signature according to the present invention.
  • Figures 2A, 2B, 2C, 2D, 3A, 3B, 3C, and 3D illustrate the characterizations discussed above and demonstrate the ability to differentiate an object containing a difference from a reference object.
  • a basic brass plate was provided with dimensions of 5x10 cm and 1.5 mm thickness and an edge slot 1 mm wide x 4 mm deep. The only distinction was that the edge slots were at locations that differed by 2 mm.
  • Figures 2A and 3A are the resonant response spectra for the two different pieces.
  • Figures 2B and 3B are the corresponding stepped interval characteristic resonance density plots. The entire frequency range of 350 kHz was swept by the exciting signal to generate the resonant spectra shown in Figures 2A and 3A.
  • a second interval of 2 kHz was then stepped through the entire frequency range in 0.1 kHz steps to obtain the numbers of resonant response peaks in each second interval.
  • These numbers of resonant response peaks form a unique characterization of the object and can be formulated as a density (number of peaks/step) or a percentage relative to the resonant peaks in the entire sweep frequency range.
  • the distinction between the two characteristic curves 2B and 3B is readily apparent and, in this example, can be recognized manually or through a computer comparison scheme.
  • the selectivity of the above characterization can be varied by adjusting the width of the small response interval and the length of the step through the total frequency range. It is readily apparent that the response interval and step length control the density distribution characterization to enhance or obscure the effect of various resonance peak distributions.
  • FIGS 2C and 3C illustrate Gaussian signatures for the frequency spectra shown in Figures 2A and 3A, respectively.
  • the selected window width ⁇ f was 2 kHz.
  • Figures 2D and 3D illustrate histogram signatures using a window width of 30 kHz It is again readily apparent that the sample edge slot relocation of 2 mm produced easily discernible distinctions in both the Gaussian and histogram signatures.
  • the sensitivity of the above method can also be
  • OF ⁇ r* ⁇ .- ⁇ :- ⁇ TM-! !j-rc_ syp ⁇ adjusted by selecting the frequency range over which the resonance density is determined or by adjusting the sweep rate.
  • An increasing sweep rate causes the width of sharp resonances to be increased, obscuring adjacent resonances and increasing the tolerance level of the method.
  • two objects would be differentiated only when a test object exceeds selected tolerance levels with the reference object. It should be noted that the above technique does not determine the nature or location of the detected anomaly.
  • the resonant ultrasound spectroscopy method has obvious application to various manufacturing quality control processes, it also has significant application to arms treaty-verification methods. For example, the method has easily differentiated between full and empty shell casings and may be able to verify the number of warheads inside a rocket or bomb shell.

Abstract

A resonant ultrasound spectroscopy method provides a unique characterization of an object (10) for use in distuinguishing similar objects having physical differences greater than a predetermined tolerance. A resonant response spectrum is obtained for a reference object by placing excitation (14) and detection (16) transducers at any accessible location on the object. The spectrum is analyzed to determine the number of resonant response peaks in a predetermined frequency interval. The distribution of the resonance frequencies is then characterized in a manner effective to form a unique signature of the object. In one characterization, a small frequency interval is defined and stepped through the spectrum frequency range. Subsequent objects are similarly characterized where the characterizations serve as signatures effective to distinguish objects that differ from the reference object by more than the predetermined tolerance.

Description

RESONANT U TRASOU1JD SPECTROSCOPY
BACKGROUND OF INVENTION The present invention relates to ultrasonics and, more particularly, to the ultrasonic resonant response of components. This invention is the result of a contract
C5 with the Department of Energy (Contract No. W-7405-ENG-36) .
Ultrasonics has a number of applications to the determination of various material and component characteristics. In one application, the transmission of
10 ultrasonic waves is detected to determine the presence of internal anomalies in a component. In another application, the thickness of a component is determined from the resonant response of a portion of the component located adjacent a transmitter/receiver transducer. These
15 applications generally require transducer access to a flat surface in proximity to a localized volume of the component to be measured. Yet another application involves modal analysis, where the acoustic resonances of a component are excited and the response amplitudes are measured to predict
ZC component failure. All these applications depend on the amplitude of a detected response, which, in turn, may depend on the temperature, the exact location of the transducer, acoustic coupling, and other variables.
Resonant ultrasound spectroscopy has been used to
Z determine various properties of solid materials, particularly elastic constants. This appiicaticn s discussed in U.S. Patent Application ≤ ..\'. -S,;:?, Resonant Ultrasound Spectrometer, incorporated herein by reference. The resonant response spectrum of small parallelepiped specimens is determined for use in computing the material elastic constants. It would be desirable to provide an ultrasonic inspection method that does not require flat surfaces for application of the acoustic wave, that provides reproducible results independent of the location of the transmitter/receive transducers, and is relatively insensitive to temperature, coupling, and other variables that are difficult to control. These problems are addressed by the present invention and a resonant ultrasound spectrographic technique is presented for uniquely characterizing an object. Accordingly, it is an object of the present invention to provide a characteristic ultrasonic signature of an object that is not dependent on a particular location of ultrasonic transducers.
It is another object of the present invention to provide an ultrasonic inspection method that does not require flat surfaces for the introduction and reception of an acoustic wave.
One other object is to provide an acoustic signature that is relatively insensitive to uncontrolled variables such as temperature and acoustic coupling.
Additional objects, advantages and novel features of the invention will be set forth in part in the description which follows, and in part will become apparent to those skilled in the art upon examination of the following or may be learned by practice of the invention. The objects and advantages of the invention may be realized and attained by means of the instrumentalities and combinations particularly pointed out in the appended claims. SUMMARY OF INVENTION
To achieve the foregoing and other objects, and in accordance with the purposes of the present invention, as embodied and broadly described herein, the method of this invention may comprise characterizing an object by resonant ultrasound spectroscopy. Acoustic waves are applied to an object and swept over a predetermined frequency range. The resonant spectrum of the object is determined over the predetermined frequency range. The frequency distribution of the resonance response peaks over the frequency range is then characterized to form a unique signature to structurally identify the object.
In one technique,a series of relatively small response intervals are defined within the entire frequency range and the number of resonant response peaks within each interval is determined. The density of the resonant response peaks in each small interval is then determined to form the unique characterization of the object. Other characterizations may utilize a conventional Gaussian curve for weighting the response peak density over the entire frequency range and a simple histogram with windows uniformly distributed over the frequency range.
BRIEF DESCRIPTION OF THE DRAWINGS
The accompanying drawings, which are incorporated in and form a part of the specification, illustrate the present invention and, together with the description, serve to explain the principles of the invention. In the drawings:
FIGURE 1 is a schematic diagram in block diagram form of apparatus for performing resonant ultrasound spectroscopy.
FIGURE 2A graphically depicts a resonance spectrum from a first object.
.TUTESHEET FIGURE 2B graphically depicts a stepped interval resonance characterization of the first object calculated from the resonance response shown in FIGURE 2A.
FIGURE 2C graphically depicts a Gaussian characterization calculated from the resonance response shown in FIGURE 2A.
FIGURE 2D graphically depicts a histogram characterization calculated from the resonance response shown in FIGURE 2A. FIGURE 3A graphically depicts a resonance spectrum from a second object.
FIGURE 3B graphically depicts a stepped interval resonance characterization of the second object calculated from the resonance response shown in FIGURE 3B. FIGURE 3C graphically depicts a resonance characterization calculated from the resonance response shown in FIGURE 3A.
FIGURE 3D graphically depicts a resonance characterization calculated from the resonance response shown in FIGURE 3A.
DETAILED DESCRIPTION OF THE INVENTION Every object, by virtue of its shape, size and physical properties (e.g., elastic moduli, speed of sound, density, etc.) can be made to resonate, i.e., vibrate resonantly, at a multitude of frequencies if its ultrasonic attenuation is low enough. The number of observable resonant frequencies depends upon the geometrical complexity of the object, its ultrasonic attenuation, and the various modes of vibration possible, e.g., bulk mode, shear mode, torsional mode, etc. Even an object as simple as a metal cube has a large number of observable resonant frequencies. A complex object may possess thousands of resonant frequencies ranging from a few thousand hertz to a few megahertz , for typical objects that might be tested. These resonant frequencies provide an acoustic signature of a given object that can be formed into a unique characterization of the object and is not dependent on amplitude of the response or subject to the many
C5 variables that affect the amplitude. A resolution can be selected to enable the characterization to serve as a signature for object selection or a quality control measure. The signature serves to compare two objects, including their internal compositions, within selected
13 tolerance levels, thereby enabling the presence of small differences or flaws to be detected, even though not spatially located.
Referring now to Figure 1, there is shown a resonant ultrasound spectrometry system according to the present
15 invention. A test object JLO. located within a transducer assembly 12 with a transmit transducer 2Λ a"d a receive transducer 35 contacting object 1_ . In accordance with the present invention, the locations of transducers 14. and .16. on object .10 are not critical, although transducers 14 and 0 16 should be similarly located on similar objects in order to provide best comparative results. The locating surfaces on object 0 are not required tc be flat and only a mechanical point contact is adequate for the present technique. Likewise, there is no requirement to optimize 5 acoustic coupling between a transducer and a surface of object 10.
Frequency sweep generator S outputs a signal to transmit transducer .14. that is effective for exciting object 10 with acoustic waves having a frequency that is ; swept over a predetermined frequency range. The frequency range is preferably selected to yield resonant responses that are independent of the environment, e.g. the mounting structure supporting object 10., ground vibrations, etc., and to contain a large number of resonances from object 10. The size and physical features of object l_0 determine the frequency range and the required accuracy for the measurements. Typically, if the physical difference between a reference object and an object under test is at least 1%, the difference should be detectable. Also, considering that the speed of sound in solids is typically within a factor of two of 4 kM/s, a 1 mm feature would require megahertz frequencies, while a 1 meter feature would require frequencies near 1 kHz. The response of object U) is detected by transducer ___, amplified by amplifier 2.2 and provided to detector 2_4. A suitable detector is described in U.S. Patent Application s.N. 406,007, referenced above, although many other detectors are available. The response is converted to digital form by A/D converter 2_6 for further processing.
Computer 2__ communicates with frequency sweep generator 18 and A/D converter ___ along bus 32., an IEEE 488 bus. Computer 2 L controls the sweep rate of generator 18 and receives frequency data to correlate with response data from A/D converter 2__. Computer ___ further performs the resonant peak analysis according to the present invention to form a unique characterization of object 0 with a selected sensitivity. Any of a number of available software routines may be used to identify the frequencies of the resonance peaks.
The object characterization of the present invention is formed by first determining the frequency of each resonant response peak along the entire frequency range of interest. The distribution of the resonant response frequencies is then characterized to form a unique acoustic signature for the object. In one method cf forming the signature, a relatively small response interval is defined for stepping over the overall frequency range. of resonant response peaks is then determined over each of the relatively small response intervals. The number of resonant peaks in the small interval at each step is plotted as a function of frequency to form one unique object characterization.
Define a function Fj_ such that
F^ = O at frequency f^ for no resonance; Fj_ = 1 at frequency f^ if a resonance is present,
where f- ≤ f^ fN, the frequency range over which the resonant frequencies were determined along N data points. The signature plot for a stepped interval signature is then
i=i+k
Ξi = Σ_F.; , where k is the step interval width.
Other distributions of the resonant frequencies may be selected to form a unique characterization with different sensitivities to differences between components. A Gaussian function may be used over the entire interval as a weighting function that slides across the resonance spectrum. The Gaussian signature plot becomes
-(^-fj)2 S 2. = N F.e ~Δf , where Δf is a selected window width,
1 j=l D
Likewise, a simple histogram may be formed, with a histogram signature plot formed as
3 iM S. = F. , where M is the window width and 1 (i-l)M+l J i runs from 1 to the number of windows.
SUBSTITUTESHEET It will be appreciated that the subject characterizations are a function only of the frequency and not the amplitude of the resonant response peaks.
By way of example, assume an appropriate frequency range is chosen from 200 kHz to 400 kHz and the sweep generator is stepped at intervals of 100 Hz over this range. The response of the object is recorded at each step to generate a resonant response spectrum. This total response is then reduced to a characterization that is relatively insensitive to uncontrolled variables, such as temperature, and that has a variable selectivity determined by the width selected for the small response interval.
For a stepped interval characterization, 'a relatively small response interval is selected, e.g., 2000 Hz, and is incremented along the entire frequency range in steps corresponding to the sweep steps. The number of resonant response peaks is then calculated within the small response interval at each step. In this example, one counting interval would be between 200 kHz and 202 kHz, another interval between 200.1 kHz and 202.1 kHz, etc. A total of 1980 peak densities would be obtained corresponding to each of the interval steps. The distribution of resonant peak densities as a function of frequency then forms the unique object signature according to the present invention. Figures 2A, 2B, 2C, 2D, 3A, 3B, 3C, and 3D illustrate the characterizations discussed above and demonstrate the ability to differentiate an object containing a difference from a reference object. In each case, a basic brass plate was provided with dimensions of 5x10 cm and 1.5 mm thickness and an edge slot 1 mm wide x 4 mm deep. The only distinction was that the edge slots were at locations that differed by 2 mm. Figures 2A and 3A are the resonant response spectra for the two different pieces. Figures 2B and 3B are the corresponding stepped interval characteristic resonance density plots. The entire frequency range of 350 kHz was swept by the exciting signal to generate the resonant spectra shown in Figures 2A and 3A. A second interval of 2 kHz was then stepped through the entire frequency range in 0.1 kHz steps to obtain the numbers of resonant response peaks in each second interval. These numbers of resonant response peaks form a unique characterization of the object and can be formulated as a density (number of peaks/step) or a percentage relative to the resonant peaks in the entire sweep frequency range. The distinction between the two characteristic curves 2B and 3B is readily apparent and, in this example, can be recognized manually or through a computer comparison scheme.
The selectivity of the above characterization can be varied by adjusting the width of the small response interval and the length of the step through the total frequency range. It is readily apparent that the response interval and step length control the density distribution characterization to enhance or obscure the effect of various resonance peak distributions.
As hereinabove discussed, other unique signatures can be formed using Gaussian characterizations and histogram characterizations. Figures 2C and 3C illustrate Gaussian signatures for the frequency spectra shown in Figures 2A and 3A, respectively. The selected window width Δf was 2 kHz. Figures 2D and 3D illustrate histogram signatures using a window width of 30 kHz It is again readily apparent that the sample edge slot relocation of 2 mm produced easily discernible distinctions in both the Gaussian and histogram signatures.
The sensitivity of the above method can also be
OF τr* ~.-<:-ι™-! !j-rc_ sypϋ adjusted by selecting the frequency range over which the resonance density is determined or by adjusting the sweep rate. An increasing sweep rate causes the width of sharp resonances to be increased, obscuring adjacent resonances and increasing the tolerance level of the method. Thus, two objects would be differentiated only when a test object exceeds selected tolerance levels with the reference object. It should be noted that the above technique does not determine the nature or location of the detected anomaly.
While the resonant ultrasound spectroscopy method has obvious application to various manufacturing quality control processes, it also has significant application to arms treaty-verification methods. For example, the method has easily differentiated between full and empty shell casings and may be able to verify the number of warheads inside a rocket or bomb shell.
The foregoing description of embodiments of the invention has been presented for purposes of illustration and description. It is not intended to be exhaustive or to limit the invention to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and its practical application to thereby enable others skilled in the art to best utilize the invention in various embodiments and with various modifications as are suited to the particular use contemplated. It is intended that the scope of the invention be defined by the claims appended hereto.

Claims

WHAT IS CLAIMED IS:
1. A method for characterizing an object by resonant ultrasound spectroscopy, comprising the steps of: applying to said object acoustic waves having frequencies swept over a predetermined frequency range; detecting a response of said object to said acoustic waves; determining the frequency of each resonant response peak in said predetermined frequency range; and characterizing the distribution of said resonant response frequencies to form a unique signature cf said object.
2. A method according to Claim 1, wherein characterizing said distribution cf said resonant response frequencies includes the steps of: defining a relatively small response interval ; stepping said relatively small response interval through said predetermined frequency range at a selected step interval; and determining a number cf resonant response peaks within said small response interval at each step to form said unique signature of said object.
2. A method according to Clair. 2 , wnerein said relatively small response interval and said step interval are selected to obtain a desired selectivity for said characterization cf said ooject. 4. A method according to Claim 1, wherein characterizing said distribution of said resonant response frequencies includes the steps of: defining a plurality of frequency steps over said predetermined frequency range; and applying a Gaussian weighted distribution function centered at each frequency step to determine the resonant frequency characterization at said each frequency step.
5. A method according to Claim 1, wherein characterizing said distribution of said resonant response frequencies includes the steps of: defining a plurality of discrete bin intervals over said predetermined frequency range; and determining the number of said resonant response frequencies within each said discrete bin interval.
6. A method according to Claims 1, 2, 4, or 5 further including the steps of: forming a first unique signature of a reference object; forming a second unique signature of a test object; comparing said first and second signature to determine whether said test object is similar to said reference object within a tolerance determined by said step of characterizing said distribution of said resonant response frequencies.
PCT/US1991/006703 1990-09-20 1991-09-19 Resonant ultrasound spectroscopy WO1992005439A1 (en)

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