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    Amplification of Lamb-Wave Detection via Fiber Bragg Gratings Using Ultrasonic Horns

    Source: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2022:;volume( 005 ):;issue: 003::page 31001-1
    Author:
    Wang, Chia-Fu
    ,
    Wee, Junghyun
    ,
    Peters, Kara
    DOI: 10.1115/1.4053582
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Fiber Bragg grating (FBG) sensors are often applied as Lamb wave detectors for structural health monitoring (SHM) systems. Analyzing the measured signal for the identification of structural damage requires a high signal-to-noise ratio (SNR) because of the low-amplitude Lamb waves. This paper applies a two-dimensional ultrasonic horn between the structure and a remotely bonded FBG sensor to increase the amplitudes of the measured signal. Experimentally we test a variety of ultrasonic geometries and demonstrate a 100% increase in the measured ultrasonic signal amplitude using a metallic ultrasonic horn with step-down geometry. A bonding procedure for the combined ultrasonic horn and optical fiber is also developed that produces repeatable signal measurements. For some horn geometries, an additional vibration signal at the Lamb wave excitation frequency is observed in the measurements. Laser Doppler vibrometry (LDV) measurements and finite element analysis demonstrate that the signal is due to the natural vibration of the horn. The experimental results demonstrate that using an aluminum ultrasonic horn to focus wave is an excellent method to increase the sensitivity of the FBG to the small amplitude Lamb wave, provided the horn vibration characteristics are taken account in the design of the measurement system.
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      Amplification of Lamb-Wave Detection via Fiber Bragg Gratings Using Ultrasonic Horns

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4283994
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    contributor authorWang, Chia-Fu
    contributor authorWee, Junghyun
    contributor authorPeters, Kara
    date accessioned2022-05-08T08:29:37Z
    date available2022-05-08T08:29:37Z
    date copyright1/31/2022 12:00:00 AM
    date issued2022
    identifier issn2572-3901
    identifier othernde_5_3_031001.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4283994
    description abstractFiber Bragg grating (FBG) sensors are often applied as Lamb wave detectors for structural health monitoring (SHM) systems. Analyzing the measured signal for the identification of structural damage requires a high signal-to-noise ratio (SNR) because of the low-amplitude Lamb waves. This paper applies a two-dimensional ultrasonic horn between the structure and a remotely bonded FBG sensor to increase the amplitudes of the measured signal. Experimentally we test a variety of ultrasonic geometries and demonstrate a 100% increase in the measured ultrasonic signal amplitude using a metallic ultrasonic horn with step-down geometry. A bonding procedure for the combined ultrasonic horn and optical fiber is also developed that produces repeatable signal measurements. For some horn geometries, an additional vibration signal at the Lamb wave excitation frequency is observed in the measurements. Laser Doppler vibrometry (LDV) measurements and finite element analysis demonstrate that the signal is due to the natural vibration of the horn. The experimental results demonstrate that using an aluminum ultrasonic horn to focus wave is an excellent method to increase the sensitivity of the FBG to the small amplitude Lamb wave, provided the horn vibration characteristics are taken account in the design of the measurement system.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleAmplification of Lamb-Wave Detection via Fiber Bragg Gratings Using Ultrasonic Horns
    typeJournal Paper
    journal volume5
    journal issue3
    journal titleJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
    identifier doi10.1115/1.4053582
    journal fristpage31001-1
    journal lastpage31001-12
    page12
    treeJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2022:;volume( 005 ):;issue: 003
    contenttypeFulltext
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