Abstract:Ultrasound has been used to inspect composite laminates since their invention but only recently has the response from the internal plies themselves been considered of interest. This paper uses modeling techniques to make sense of the fluctuating and interfering reflections from the resin layers between plies, providing clues to the underlying inhomogeneities in the structure. It shows how the analytic signal, analyzed in terms of instantaneous amplitude, phase, and frequency, allows 3-D characterization of the… Show more
“…As expected, the instantaneous phase increases by 2π radians for each ply traversed in the bulk of the material that is excited by the fundamental ply resonance and by 4π radians with an input-pulse that corresponds to the second harmonic (19) . This makes interpretation considerably easier for the 2.25 MHz probe, which excites the fundamental ply resonance of the non-wrinkle area and the whole range of ply thicknesses of the wrinkle are within the bandwidth of the probe.…”
“…However, unlike Micro-CT, the raw datasets from an ultrasonic inspection do not automatically reveal the ply lay-up using the common 'gate' method of signal analysis. Current research shows how the depths of the resin layers can be tracked using the instantaneous amplitude, phase and frequency of the ultrasonic response in 3D scans, allowing out-of-plane wrinkles to be mapped within the structure (18)(19) . These instantaneous parameters are defined via the following equation for the analytic signal (17) : (1) where A(t) is the instantaneous amplitude and ϕ(t) is the instantaneous phase at time t. The imaginary part of the analytic signal is calculated by applying a Hilbert transform to the measured (real) waveform (20) .…”
Wrinkles, (also known as out-of-plane waviness) are, unfortunately, a common phenomenon that has caused some wind-turbine blades to unexpectedly fail in service. Being able to detect the wrinkles while in the factory will reduce the risk of catastrophic failure and characterising the wrinkles would minimise the repaired area, thus increasing the efficiency of the repair and the design. This work compares the effectiveness of three different ultrasound techniques for detecting and characterising out-of-plane wrinkles in the typical glass-carbon hybrid laminates that are used for wind-turbine blades. The tests samples were manufactured so that the laminates and the defects are representative of those used in the wind-turbine industry. Basic mechanical tests were performed to check the drop in mechanical properties due to wrinkling. The ideal probe frequency was determined as the resonance frequency of the plies using an analytical ultrasonic-propagation model. The three different ultrasound techniques used are: full-matrix capture (FMC) with the total focusing method (TFM), a commercial phased-array instrument and an immersion test with a raster-scanned single-element focused probe. When possible, severity parameters of the wrinkle were measured on the ultrasonic images and compared with the measurements of the actual sample in order to determine which method best characterises such wrinkles and which would be more appropriate to implement in an industrial environment. Not all of the techniques allowed full characterisation of out-of-plane waviness on the specimens. The FMC/TFM method gave better results whilst phased-array technology and single-element immersion testing presented more challenges. An additional enhancement to the TFM imaging was achieved using an Adapted-TFM method with an angle-dependent velocity correction.
“…As expected, the instantaneous phase increases by 2π radians for each ply traversed in the bulk of the material that is excited by the fundamental ply resonance and by 4π radians with an input-pulse that corresponds to the second harmonic (19) . This makes interpretation considerably easier for the 2.25 MHz probe, which excites the fundamental ply resonance of the non-wrinkle area and the whole range of ply thicknesses of the wrinkle are within the bandwidth of the probe.…”
“…However, unlike Micro-CT, the raw datasets from an ultrasonic inspection do not automatically reveal the ply lay-up using the common 'gate' method of signal analysis. Current research shows how the depths of the resin layers can be tracked using the instantaneous amplitude, phase and frequency of the ultrasonic response in 3D scans, allowing out-of-plane wrinkles to be mapped within the structure (18)(19) . These instantaneous parameters are defined via the following equation for the analytic signal (17) : (1) where A(t) is the instantaneous amplitude and ϕ(t) is the instantaneous phase at time t. The imaginary part of the analytic signal is calculated by applying a Hilbert transform to the measured (real) waveform (20) .…”
Wrinkles, (also known as out-of-plane waviness) are, unfortunately, a common phenomenon that has caused some wind-turbine blades to unexpectedly fail in service. Being able to detect the wrinkles while in the factory will reduce the risk of catastrophic failure and characterising the wrinkles would minimise the repaired area, thus increasing the efficiency of the repair and the design. This work compares the effectiveness of three different ultrasound techniques for detecting and characterising out-of-plane wrinkles in the typical glass-carbon hybrid laminates that are used for wind-turbine blades. The tests samples were manufactured so that the laminates and the defects are representative of those used in the wind-turbine industry. Basic mechanical tests were performed to check the drop in mechanical properties due to wrinkling. The ideal probe frequency was determined as the resonance frequency of the plies using an analytical ultrasonic-propagation model. The three different ultrasound techniques used are: full-matrix capture (FMC) with the total focusing method (TFM), a commercial phased-array instrument and an immersion test with a raster-scanned single-element focused probe. When possible, severity parameters of the wrinkle were measured on the ultrasonic images and compared with the measurements of the actual sample in order to determine which method best characterises such wrinkles and which would be more appropriate to implement in an industrial environment. Not all of the techniques allowed full characterisation of out-of-plane waviness on the specimens. The FMC/TFM method gave better results whilst phased-array technology and single-element immersion testing presented more challenges. An additional enhancement to the TFM imaging was achieved using an Adapted-TFM method with an angle-dependent velocity correction.
“…However, unlike X-ray CT, the raw RF-waveforms from a pulse-echo ultrasonic inspection do not intuitively reveal these features when viewed using 3D volume-rendering techniques, or when processed using the traditional 'gating' methods of signal analysis. Current research into the interaction of ultrasound with layered fibrous composite materials [21] shows how separation of the raw RF signal into its instantaneous phase, amplitude and frequency components is beneficial for observing these features.…”
Ply wrinkling in carbon fibre reinforced polymer (CFRP) laminates is often geometrically complex and difficult to quantify using non-destructive techniques. In this paper, an ultrasonic technique for mapping ply wrinkling is presented. The instantaneous-phase three-dimensional dataset obtained from a pulse-echo ultrasonic inspection is processed using the structure-tensor image processing technique to quantify the orientations of the internal plies of a CFRP laminate. It is shown that consideration must be given to the wrapped nature of the phase dataset during processing to obtain accurate orientation maps. Three dimensional ply orientation and ply-location maps obtained from a test coupon are compared with true ply angles and locations by overlaying the ultrasonically-derived results on X-ray CT image slices, showing that accurate orientation maps can be obtained using the proposed technique.
“…Besides Fourier and Gabor transforms, Hilbert transform has also been applied in phase retrieval (eg, Wang et al and Zenkova et al). In practice, what we can measure is commonly the discrete Hilbert transform (DHT) for Hilbert transform (eg, Li et al and Smith et al). Our first phase retrieval problem in this paper is on the uniqueness of the phaseless inverse discrete Hilbert transform (phaseless IDHT).…”
Section: Introductionmentioning
confidence: 99%
“…In practice, what we can measure is commonly the discrete Hilbert transform (DHT) for Hilbert transform (eg, Li et al 11 and Smith et al 12 ). Our first phase retrieval problem in this paper is on the uniqueness of the phaseless inverse discrete Hilbert transform (phaseless IDHT).…”
In this paper, we first address the uniqueness of phaseless inverse discrete Hilbert transform (phaseless IDHT for short) from the magnitude of discrete Hilbert transform (DHT for short). The measurement vectors of phaseless IDHT do not satisfy the complement property, a traditional requirement for ensuring the uniqueness of phase retrieval. Consequently, the uniqueness problem of phaseless IDHT is essentially different from that of the traditional phase retrieval. For the phaseless IDHT related to compactly supported functions, conditions are given in our first main theorem to ensure the uniqueness. A condition on the step size of DHT is crucial for the insurance. The second main theorem concerns the uniqueness related to noncompactly supported functions. It is not the trivial generalization of the first main theorem. Our third main result is on the determination of signals in shift‐invariant spaces by phaseless IDHT. Note that the measurements used for the determination are the DHT magnitudes. They are the approximations to the Hilbert transform magnitudes. Recall that for the existing methods of phaseless sampling (a special phase‐retrieval problem), to determine a signal depends on the exact measurements but not the approximative ones. Therefore, our determination method is essentially different from the traditional phaseless sampling. Numerical simulations are conducted to examine the efficiency of phaseless IDHT and its application in determining signals in spline Hilbert shift‐invariant space.
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