• Title/Summary/Keyword: 비파괴측정

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Non-Destructive Evaluation of Microstructure of SiC/AC8A Composite Material by Ultrasonic Measurement (초음파를 이용한 비파괴방법에 의한 SiC/AC8A금속 복합재료의 미시조직 평가)

  • Park, Y.C.;Yun, D.P.;Lee, G.C.
    • Journal of the Korean Society for Nondestructive Testing
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    • v.16 no.4
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    • pp.225-233
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    • 1997
  • This study is performed to establish a non-destructive evaluation method for metal matrix composite using ultrasonic technique. The specimen is made of SiC/AC8A metal matrix composite by squeeze-casting method. Three kinds or reinforced particles are prepared as 4.86, 8.09 and $11.44{\mu}m$ to investigate the effect of size on the mechanical and ultrasonic properties of metal matrix composite. In addition, four different volume fractions (14, 22.5, 27.5, 35%) of reinforced particles are prepared per each size to examine the effect of volume fraction on the ultrasonic properties. From this specimen, the availability and precision of measurement of Young's modulus are examined and the evaluation method for microstructure of metar matrix composite using the speed of sound and attenuation factor is also reviewed. The results show that the Young's modulus measured by ultrasonic method is as effective as that measured by mechanical method. It is also known that the size and volume fraction of reinforced fiber are precisely evaluated using the speed of sound and attenuation factor.

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Development of Nondestructive Sorting Method for Brown Bloody Eggs Using VIS/NIR Spectroscopy (가시광 및 근적외선 전투과 스펙트럼을 이용한 갈색 혈란 비파괴선별 방법 개발)

  • Lee, Hong-Seock;Kim, Dae-Yong;Kandpal, Lalit Mohan;Lee, Sang-Dae;Mo, Changyeun;Hong, Soon-Jung;Cho, Byoung-Kwan
    • Journal of the Korean Society for Nondestructive Testing
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    • v.34 no.1
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    • pp.31-37
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    • 2014
  • The aim of this study was the non-destructive evaluation of bloody eggs using VIS/NIR spectroscopy. The bloody egg samples used to develop the sorting mode were produced by injecting chicken blood into the edges of egg yolks. Blood amounts of 0.1, 0.7, 0.04, and 0.01 mL were used for the bloody egg samples. The wavelength range for the VIS/NIR spectroscopy was 471 to 1154 nm, and the spectral resolution was 1.5nm. For the measurement system, the position of the light source was set to $30^{\circ}$, and the distance between the light source and samples was set to 100 mm. The minimum exposure time of the light source was set to 30 ms to ensure the fast sorting of bloody eggs and prevent heating damage of the egg samples. Partial least squares-discriminant analysis (PLS-DA) was used for the spectral data obtained from VIS/NIR spectroscopy. The classification accuracies of the sorting models developed with blood samples of 0.1, 0.07, 0.04, and 0.01 mL were 97.9%, 98.9%, 94.8%, and 86.45%, respectively. In this study, a novel nondestructive sorting technique was developed to detect bloody brown eggs using spectral data obtained from VIS/NIR spectroscopy.

Development of non-destructive freshness measurement system for eggs using PLC control and image processing (PLC제어와 영상처리를 이용한 계란의 비파괴 신선도 측정 시스템 개발)

  • Kim, Tae-Jung;Kim, Sun-Jung;Lee, Dong-Goo;Lee, Jeong-Ho;Lee, Young-Seok;Hwang, Heon;Choi, Sun
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.12 no.2
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    • pp.162-169
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    • 2019
  • Non-destructive freshness measurement using spectroscopy has been carried out several times, but research on freshness and freshness has not been conducted. Therefore the purpose of this study is to develop a system for visually measuring and quantifying the air sack inside the egg by non - destructive method. The experimental environment which designed a small chamber was composed of 850nm band of two IR lasers, IR camera and two servo motors to acquire air sack Images. When the air sack volume ratio is 2.9% or less and the density is 0.9800 or more, the Haugh Unit value is 60 or more It was judged to be a fresh egg of a grade B or higher. These results mean, using the weight measurement, nondestructive decision system, and freshness evaluating algorithm. It can be expected to distinguish grade B or more marketable eggs without using destructive methods.