Split Spectrum processing applications for new composite materials imaging

Rodríguez, Alberto; Salazar, Addisson; Vergara, Luis; Gimeno-Blanes, Francisco-Javier; Svilainis, Linas; Dumbrava, V.; Kitov, S.; Chaziachmetovas, Andrius

doi:10.1109/ultsym.2012.0368

Cited by 4 publications

(5 citation statements)

References 13 publications

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“…The predicted TVR and OCV are obtained using (9) and (10), where the resulting spectra are shown in Figs. 8 and 9, respectively.…”

Section: B Sg Fractal Composite At Fractal Generation Level IVmentioning

confidence: 99%

“…The distance between the reference hydrophone and the receiving device was maintained at 150 mm. The OCV response can be calculated using (10), and the resulting measured spectra are shown in Fig. 16.…”

Section: Reception Response Measurementmentioning

confidence: 99%

“…Wider operational bandwidth at the transducer can offer advantages in the signal processing chain of contemporary imaging systems. Frequency diverse signal processing techniques such as split spectrum processing [10] benefit form wider transducers bandwidth when applied to speckle reduction [11] and contrast enhancement [7].…”

mentioning

confidence: 99%

See 2 more Smart Citations

Broadband 1–3 Piezoelectric Composite Transducer Design Using Sierpinski Gasket Fractal Geometry

Fang

Qiu

Mulholland

et al. 2018

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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Wider operational bandwidth is an important requirement of an ultrasound transducer across many applications. In nature, it can be observed that several hearing organs possess a broad operating bandwidth by having a varying length scales structure. Moreover, conventional 1-3 piezoelectric composite transducers have been widely recognized for their wider bandwidth over their piezoelectric ceramic counterparts. In this paper, a novel 1-3 piezoelectric composite design using a fractal geometry, known as the Sierpinski Gasket (SG), is proposed in order to explore the potential of further extending the operational bandwidth and sensitivity of the transducer. Two equivalent 1-3 piezocomposite designs are compared to this end, one with a conventional periodic parallelepiped-shaped pillar structure and one with the SG fractal geometry, both theoretically, using a finite-element analysis package, and experimentally. The transmit voltage response and open-circuit voltage response are used to illustrate bandwidth improvement from the fractal composite design. Following the simulation results, a 580-kHz single-element transducer, utilizing the proposed SG fractal microstructure, is fabricated using a pillar placement methodology. The performance of the prototyped device is characterized and compared with a conventional 1-3 composite design, as well as with a commercial ultrasound transducer. In the one-way transmission mode, a bandwidth improvement of 27.2% and sensitivity enhancement of 3.8 dB can be found with the SG fractal design compared to an equivalent conventional composite design and up 105.1% bandwidth improvement when compared to the commercial transducer. In the one-way reception mode, the bandwidth improvement for the SG fractal design is 2.5% and 32.9% when compared to the conventional and commercial transducers, respectively.

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“…The predicted TVR and OCV are obtained using (9) and (10), where the resulting spectra are shown in Figs. 8 and 9, respectively.…”

Section: B Sg Fractal Composite At Fractal Generation Level IVmentioning

confidence: 99%

Section: Reception Response Measurementmentioning

confidence: 99%

See 1 more Smart Citation

Broadband 1–3 Piezoelectric Composite Transducer Design Using Sierpinski Gasket Fractal Geometry

Fang

Qiu

Mulholland

et al. 2018

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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“…Split spectrum processing (SSP) is exploring frequency domain diversity of structural signals. Better results can be achieved by combining SSP with spread spectrum signals [28] (Fig. 11).…”

Section: Solid State Phenomena Vol 251mentioning

confidence: 99%

Review of Ultrasonic Signal Acquisition and Processing Techniques for Mechatronics and Material Engineering

Svilainis

2016

SSP

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Review of ultrasound applications in mechanical and material engineering is presented. Application examples in material thickness, profile measurement are given. Applications for load, stress, stiffness, porosity, density, viscosity, bond strength, hardening depth evaluation are discussed. Composite or polymer curing states can be monitored. Ultrasonic signal propagation velocity, attenuation or nonlinearity can be used for aforementioned parameters extraction. Signal acquisition setup configurations along with signal processing techniques are discussed. Ultrasound can be used for structure integrity testing or monitoring. Imaging of the inner material structure or properties distribution requires special reconstruction techniques. Presence of the structural noise is masking the defects. Image reconstruction and structural noise reduction techniques are outlined.

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“…SS signals also have disadvantages, mainly related to their length (duration), dynamic range, spectral flatness and programmability. As for its length, SS signals have to be long to gain energy, which reduces the axial resolution, enlarges the dead zone, and could lead to overlapping reflections even for widely spaced echoes [34]. On the other hand, the dynamic range in the image is directly related to the dynamic range of the lateral lobes, that is, the relationship between the amplitudes of the main lobe and the lateral lobe, and the SS signals have large lateral lobes in the correlation [23].…”

Section: Introductionmentioning

confidence: 99%

On the Optimization of Spread Spectrum Chirps Into Arbitrary Position and Width Pulse Signals. Application to Ultrasonic Sensors and Systems

et al. 2022

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This work presents in detail a new method for the optimization of rectangular spread spectrum excitation signals for its use in simple and low-cost ultrasonic pulsers, but that could be extended to other applications based on spread spectrum signals. Starting from rectangular linear frequency modulated (RLFM) chirps, it uses the transfer function of the transmitted signal and received echoes from reference specimens to iterate through a recursive algorithm to obtain arbitrary position and width pulse (APWP) signals with the desired bandwidth, maximizing the energy and the flatness of the spectrum, and enhancing the resolution and dynamic range of conventional chirp excitation signals. This optimization procedure can be repeated for any transducer and material, so that it achieves the best performance in each experimental environment. Such characteristics are ideal for Time-of-Flight estimation, imaging, and applications in which spectral regularity is needed, such as the Split Spectrum Processing (SSP) algorithm, which is used as example to test the performance of the proposed excitation signals. It also allows to specify and change the bandwidth reducing the need to change the transducers. The method is tested with different transducers (2 and 5 MHz focused transducers) and complex composite materials (aluminum-carbon aviation composite and high porosity GFRP composite) in immersion setup for imaging applications using SSP algorithm.INDEX TERMS Ultrasound, Spread Spectrum, chirp, arbitrary position and width pulses, Split Spectrum Processing, non destructive testing.

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Split Spectrum processing applications for new composite materials imaging

Cited by 4 publications

References 13 publications

Broadband 1–3 Piezoelectric Composite Transducer Design Using Sierpinski Gasket Fractal Geometry

Broadband 1–3 Piezoelectric Composite Transducer Design Using Sierpinski Gasket Fractal Geometry

Review of Ultrasonic Signal Acquisition and Processing Techniques for Mechatronics and Material Engineering

On the Optimization of Spread Spectrum Chirps Into Arbitrary Position and Width Pulse Signals. Application to Ultrasonic Sensors and Systems

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