• Title/Summary/Keyword: Scanning Acoustic microscopy(SAM)

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DETECTION OF MICROSCOPIC BEHAVIOR OF LOW VELOCITY IMPACT DAMAGED CFRP LAMINATE UNDER TENSILE LOADING BY ELASTIC WAVES (탄성파 응용기술에 의한 CFRP 복합재료의 저속충격 손상역의 미시적 거동 특성 탐지)

  • 이준현;권오양;이승석
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1993.10a
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    • pp.650-655
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    • 1993
  • Carbon/epoxy composite(CFRP) coupons previously damaged by low velocity impact were tested under static tensile loading and microscope progress of damage was characterized by ultrasonic C-scan, Scanning Acoustic Microscopy (SAM) and Acoustic Emission(AE) techniques which were based on the application of elastic waves. The degress of impact damage has been correlated with the AE activity during monotonic or loading/unloading tensile testing as well as the result of ultrasonic test. The coupons were subjected to impact velocities ranged from 0.71 to 2.17 m/sec, which introduced the amount of damage rated as 0%, 10%, 30%, and 50% with reference to the total absorbed energy at fracture. Special attention was paid to determine optimal AE parameters to characterize the microscopic fracture process and to predict the residual strength of composite laminates. AE RMS voltage during the early stage of tensile loading was found an effective parameter to quantify the degree of impact damage. It was also found that the Felicity ratio is closely related to the stacking sequence and the residual strength of the CFRP laminates.

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Precise Estimation of Nonlinear Parameter in Pulse-Like Ultrasonic Signal (펄스형 초음파 신호에서 비선형 파라미터의 정밀 추정)

  • Ha, Job;Jhang, Kyung-Young;Sasaki, Kimio;Tanaka, Hiroaki
    • Journal of the Korean Society for Nondestructive Testing
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    • v.26 no.2
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    • pp.77-83
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    • 2006
  • Ultrasonic nonlinearity has been considered as a solution for the detection of microcracks or interfacial delamination in a layered structure. The distinguished phenomenon in nonlinear ultrasonics is the generation of higher-order harmonic waves during the propagation. Therefore, in order to quantify the nonlinearity, the conventional method measures a parameter defined as the amplitude ratio of a second-order harmonic component and a fundamental frequency component included in the propagated ultrasonic wave signal. However, its application In field inspection is not easy at the present stage because no standard methodology has yet been made to accurately estimate this parameter. Thus, the aim of this paper is to propose an advanced signal processing technique for the precise estimation of a nonlinear ultrasonic parameter, which is based on power spectral and bispectral analysis. The method of estimating power spectrum and bispectrum of the pulse-like ultrasonic wave signal used in the commercial SAM (scanning acoustic microscopy) equipment is especially considered in this study The usefulness of the proposed method Is confirmed by experiments for a Newton ring with a continuous air gap between two glasses and a real semiconductor sample with local delaminations. The results show that the nonlinear parameter obtained tv the proposed method had a good correlation with the delamination.

Dual-mode diagnosis system for water quality and corrosion in pipe using convolutional neural networks (CNN) and ultrasound (합성곱 신경망과 초음파 기반 상수도관 수질 및 부식 분석용 이중모드 진단 시스템)

  • So Yeon Moon;Hyeon-Ju Jeon;Yeongho Sung;Min-Seo Kim;Daehun Kim;Jaeyeop Choi;Junghwan Oh;O-Joun Lee;Hae Gyun Lim
    • Annual Conference of KIPS
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    • 2023.11a
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    • pp.685-686
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    • 2023
  • 상수도관의 수질 및 부식도 검사에는 파이프에 손상을 입히지 않고 지속적인 방법이 필요하다. 초음파는 이를 만족하면서 상태를 확인할 수 있고 주파수가 높을수록 해상도가 좋아져 정밀한 측정이 가능하다는 장점이 있다. 이러한 특성을 이용해 상수도관 모니터링 시스템으로 초음파 기반의 Scanning Acoustic Microscopy(SAM)과 Convolutional Neural Network(CNN)을 사용하는 새로운 방법을 제안한다. 기존의 Non-Destructive Testing(NDT)방식의 단점을 보완하면서 더 높은 해상도로 상수도관을 점검하는 방식으로, SAM 을 이용하여 부식으로 인한 파이프 두께 변화와 부유물의 여부 및 수질을 동시에 감지하고 얻은 데이터를 CNN 으로 분석했다. CNN 의 높은 정확도 결과로 이 시스템의 파이프 부식도 및 수질 모니터링에 대한 적합성을 보여주었다.