Material properties identification using ultrasonic waves and laser Doppler vibrometer measurements: a multi-input multi-output approach

Longo, Roberto; Vanlanduit, Steve; Guillaume, Patrick

doi:10.1088/0957-0233/24/10/105206

Cited by 5 publications

(6 citation statements)

References 15 publications

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“…Ultrasonic waves are not sensitive to color, illumination, or electromagnetic fields [22][23][24]. Additionally, when the ultrasonic wave propagates, it has strong directionality, can concentrate energy easily, and can carry information about the transmission medium [25,26]. The material recognition method based on ultrasonic has the merit of high precision, simple operation, and strong versatility, which could accurately achieve the goal of material identification [27].…”

Section: Introductionmentioning

confidence: 99%

Surrounding Object Material Detection and Identification Method for Robots Based on Ultrasonic Echo Signals

Zhu

Geng

Jiang

et al. 2023

Applied Bionics and Biomechanics

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Material perception is one of the several essential abilities required by robots, and it also poses significant challenges in real-world field applications. In harsh environments, the existing material recognition methods have the problem of low accuracy. In this paper, ultrasonic technology is applied to the field of material recognition, which is derived from the predatory strategy of echolocation animals. We propose a novel noncontact material recognition method of surrounding objects for robots based on ultrasonic echo signals, which can be used in external extreme environments. This method primarily adopts the 16-dimensional feature vector extracted from intrinsic mode functions that we gain from empirical mode decomposition as inputs of machine learning algorithms to recognize different materials, and we use K-nearest neighbor, decision tree, and support vector machine algorithms on the feature vector set to decide the best classifier, and its acoustic theoretical model is established additionally. The experimental results validate the accuracy of the acoustic theoretical model and the effectiveness of the proposed method. Compared with the existing methods, the proposed method improves the low accuracy and the poor recognition effect in ultrasonic material recognition. This method provides a new idea for robots to recognize and perceive materials in extreme environments.

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Section: Introductionmentioning

confidence: 99%

Surrounding Object Material Detection and Identification Method for Robots Based on Ultrasonic Echo Signals

Zhu

Geng

Jiang

et al. 2023

Applied Bionics and Biomechanics

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“…Laser ultrasonics has become a popular research topic in the nondestructive testing (NDT) field because of its characteristics of non-contact, high precision, broadband and on-line inspection [7][8][9][10][11][12][13][14]. Recently, the laser ultrasonic method has been investigated to detect the surface-breaking cracks and discontinuity of composite materials [3,11,12].…”

Section: Introductionmentioning

confidence: 99%

Research on a laser ultrasound method for testing the quality of a nuclear radiation protection structure

Zhang

Zhou

2016

Meas. Sci. Technol.

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Laser ultrasonics has been investigated for inspecting the quality of a nuclear radiation protection structure. A possibility is proposed to improve the signal to noise ratio (SNR) of a laser ultrasonic inspection system. Then, a nuclear radiation protection structure composed of an AISI 1045 steel sheet connected with a lead alloy sheet by using an epoxy resin adhesive was manufactured with simulated defects. A non-contact laser ultrasonic inspection system, where the measured signals were filtered using a wavelet threshold de-noising method, was established to conduct a series of experiments. The proposed signal processing method can significantly improve the SNR of measured laser ultrasound signals on a rough solid surface. Compared with the SNR of original ultrasonic signals measured in transmission and reflection, the SNR of processed transmitted and reflected signals is improved by 13.8 and 16.6 dB, respectively. Moreover, laser ultrasonic C-scans based on the transmission and pulse-echo method can detect the simulated de-bonding defects, and the relative deviation between the measured sizes and design values is below 9%. Therefore, the laser ultrasonic method combined with effective signal processing can achieve the quantitative characterization of de-bonding defects in nuclear radiation protection structures.

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“…Ultrasonic guided waves are widely used in numerous fields such as non-destructive testing [1][2][3][4], structural health monitoring [5][6][7][8][9], and material characterization [10][11][12][13][14][15][16]. In the context of material characterization, there are two common waveguide-based approaches for material property determination.…”

Section: Introductionmentioning

confidence: 99%

Transient modeling of ultrasonic guided waves in circular viscoelastic waveguides for inverse material characterization

Bause

Gravenkamp

Rautenberg

et al. 2015

Meas. Sci. Technol.

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In this contribution, we present an efficient approach for the transient and time-causal modeling of guided waves in viscoelastic cylindrical waveguides in the context of ultrasonic material characterization. We use the scaled boundary finite element method (SBFEM) for efficient computation of the phase velocity dispersion. Regarding the viscoelastic behavior of the materials under consideration, we propose a decomposition approach that considers the real-valued frequency dependence of the (visco-)elastic moduli and, separately, of their attenuation. The modal expansion approach is utilized to take the transmitting and receiving transducers into account and to propagate the excited waveguide modes through a waveguide of finite length. The effectiveness of the proposed simulation model is shown by comparison with a standard transient FEM simulation as well as simulation results based on the exact solution of the complex-valued viscoelastic guided wave problem. Two material models are discussed, namely the fractional Zener model and the anti-Zener model; we re-interpret the latter in terms of the Rayleigh damping model. Measurements are taken on a polypropylene sample and the proposed transient simulation model is used for inverse material characterization. The extracted material properties may then be used in computer-aided design of ultrasonic systems.

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Material properties identification using ultrasonic waves and laser Doppler vibrometer measurements: a multi-input multi-output approach

Cited by 5 publications

References 15 publications

Surrounding Object Material Detection and Identification Method for Robots Based on Ultrasonic Echo Signals

Surrounding Object Material Detection and Identification Method for Robots Based on Ultrasonic Echo Signals

Research on a laser ultrasound method for testing the quality of a nuclear radiation protection structure

Transient modeling of ultrasonic guided waves in circular viscoelastic waveguides for inverse material characterization

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