• Title/Summary/Keyword: Detection techniques

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Characterization of saturation of CR-39 detector at high alpha-particle fluence

  • Ghazaly, M. El;Hassan, Nabil M.
    • Nuclear Engineering and Technology
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    • v.50 no.3
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    • pp.432-438
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    • 2018
  • The occurrence of saturation in the CR-39 detector reduces and limits its detection dynamic range; nevertheless, this range could be extended using spectroscopic techniques and by measuring the net bulk rate of the saturated CR-39 detector surface. CR-39 detectors were irradiated by 1.5 MeV high alpha-particle fluence varying from $0.06{\times}10^8$ to $7.36{\times}10^8\;alphas/cm^2$ from Am-241 source; thereafter, they were etched in a 6.25N NaOH solution at a temperature of $70^{\circ}C$ for different durations. Net bulk etch rate measurement of the 1.5 MeV alpha-irradiated CR-39 detector surface revealed that rate increases with increasing etching time and reaches its maximum value at the end of the alpha-particle range. It is also correlated with the alpha-particle fluence. The measurements of UV-Visible (UV-Vis) absorbance at 500 and 600 nm reveal that the absorbance is linearly correlated with the fluence of alpha particles at the etching times of 2 and 4 hour. For extended etching times of 6, 10, and 14.5 hour, the absorbance is saturated for fluence values of $4.05{\times}10^8$, $5.30{\times}10^8$, and $7.36{\times}10^8\;alphas/cm^2$. These new methods pave the way to extend the dynamic range of polymer-based solid state nuclear track detectors (SSNTDs) in measurement of high fluence of heavy ions as well as in radiation dosimetry.

Concept Development and Review of Current Technical Issues for SFR Steam Generator (소듐냉각 고속로용 증기발생기 기술분석 및 개념개발)

  • Nam, Ho-Yun;Kim, Jong-Bum;Lee, Jae-Han;Park, Chang-Gyu
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.35 no.9
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    • pp.1083-1090
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    • 2011
  • A steam generator poses many difficulties during the development of a sodium-cooled fast reactor because of the sodium-water-reaction problems. Until now, several types of steam generators have been developed, but the specifications of these generators differed in each country. Moreover, even if a country had developed a steam generator, it was not used in the subsequent reactor because the current techniques were not stabilized to select the proper steam generator. As a common development, the Benson steam cycle with few welding locations and high economical efficiency may be adopted. Moreover, the design is dwelled on the convenience of inspection, detection, control, and maintenance for the wear caused by sodiumwater reactions. The specifications of the designed steam generators were reviewed and the current technical problems for steam generators were analyzed. Concepts were proposed to overcome the current technical problems for steam generators.

Detection and Evaluation Technique of Hydrogen Attack (수소손상 검출과 평가기술)

  • Won, Soon-Ho;Hyun, Yang-Ki;Lee, Jong-O;Cho, Kyung-Shik;Lee, Jae-Do
    • Journal of the Korean Society for Nondestructive Testing
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    • v.22 no.1
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    • pp.32-37
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    • 2002
  • The presence of hydrogen in industrial plants is a source of damage. Hydrogen attack is one such form of degradation and often causing large tube ruptures that necessitate an immediate shutdown. Hydrogen attack may reduce the fracture toughness as well as the strength of steels. This reduction is caused partially by the presence of cavities and microcracks at the grain boundaries. In the past several techniques have been used with limited results. This paper describes the application of an ultrasonic velocity and attenuation in hydrogen damage. Ultrasonic tests showed a decrease in wave velocity and an increase in attenuation. Such results demonstrate the potential for ultrasonic nondestructive testing to quantify damage. Based on this study, reliable recommendation is suggested to detect hydrogen attack.

Observation of Fatigue Crack Growth Behavior in 1Cr-1Mo-0.25V Steel Using Image Processing Technology (영상처리기법을 이용한 1Cr-1Mo-0.25V 강의 피로균열 성장거동 관찰)

  • Nahm, Seung-Hoon;Kim, Yong-Il;Ryu, Dae-Hyun
    • Journal of the Korean Society for Nondestructive Testing
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    • v.22 no.1
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    • pp.14-21
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    • 2002
  • The development of a new experimental method is required to easily observe the growth behavior of fatigue cracks. To satisfy the requirement, an image processing technique was introduced to fatigue testing. The length of surface fatigue crack could be successfully measured by the image processing system. At first, the image data of cracks were stored into the computer while the cyclic loading was interrupted. After testing, crack length was determined using an image processing software which was developed by authors. Various image processing techniques like a block matching method was applied tc the detection of surface fatigue cracks. By comparing the data measured by the image processing system with those by the manual measurement with a microscope, the effectiveness of the image processing system was established. If the proposed method is used to monitor and observe the crack growth behavior automatically, the time and efforts for fatigue test could be dramatically reduced.

Detection of Fatigue Damage in Aluminum Thin Plates with Rivet Holes by Acoustic Emission (리벳 구멍을 가진 알루미늄 박판구조의 피로손상 탐지를 위한 음향방출의 활용)

  • Kim, Jung-Chan;Kim, Sung-Jin;Kwon, Oh-Yang
    • Journal of the Korean Society for Nondestructive Testing
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    • v.23 no.3
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    • pp.246-253
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    • 2003
  • The initiation and growth of short fatigue cracks in the simulated aircraft structure with a series of rivet holes was detected by acoustic emission (AE). The location and the size of short tracks were determined by AE source location techniques and the measurement with traveling microscope. AE events increased intermittently with the initiation and growth of short cracks to form a stepwise increment curve of cumulative AE events. For the precise determination of AE source locations, a region-of-interest (ROI) was set around the rivet holes based on the plastic zone size in fracture mechanics. Since the signal-to-noise ratio (SNR) was very low at this early stage of fatigue cracks, the accuracy of source location was also enhanced by the wavelet transform do-noising. In practice, the majority of AE signals detected within the ROI appeared to be noise from various origins. The results showed that the effort of structural geometry and SNR should be closely taken into consideration for the accurate evaluation of fatigue damage in the structure.

Adaptive Multi-Layer Security Approach for Cyber Defense (사이버 방어를 위한 적응형 다중계층 보호체제)

  • Lee, Seong-kee;Kang, Tae-in
    • Journal of Internet Computing and Services
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    • v.16 no.5
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    • pp.1-9
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    • 2015
  • As attacks in cyber space become advanced and complex, monotonous defense approach of one-one matching manner between attack and defense may be limited to defend them. More efficient defense method is required. This paper proposes multi layers security scheme that can support to defend assets against diverse cyber attacks in systematical and adaptive. We model multi layers security scheme based on Defense Zone including several defense layers and also discuss essential technical elements necessary to realize multi layers security scheme such as cyber threats analysis and automated assignment of defense techniques. Also effects of multi layers security scheme and its applicability are explained. In future, for embodiment of multi layers security scheme, researches about detailed architecture design for Defense Zone, automated method to select the best defense technique against attack and modeling normal state of asset for attack detection are needed.

Structural Damage Assessment Based on Model Updating and Neural Network (신경망 및 모델업데이팅에 기초한 구조물 손상평가)

  • Cho, Hyo-Nam;Choi, Young-Min;Lee, Sung-Chil;Lee, Kwang-Min
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.7 no.4
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    • pp.121-128
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    • 2003
  • In recent years, various artificial neural network algorithms are used in the damage assessment of civil infrastructures. So far, many researchers have used the artificial neural network as a pattern classifier for the structural damage assessment but, in this paper, the neural network is used as a structural reanalysis tool not as a pattern classifier. For the model updating using the optimization algorithm, the summation of the absolute differences in the structural vibration modes between undamaged structures and damaged ones is considered as an objective function. The stiffness of structural components are treated as unknown parameters to be determined. The structural damage detection is achieved using model updating based on the optimization techniques which determine the estimated stiffness of components minimizing the objective function. For the verification of the proposed damage identification algorithm, it is numerically applied to a simply supported bridge model.

A study on the development of Gas-Vent Automatic Exchange Machine with Vision System (영상정보를 이용한 가스벤트자동교환 장치)

  • Kwon, Jang-Woo;Hong, Jun-Eui;Yoon, Dong-Eop;Kil, Gyung-Suk;Lee, Dong-Hoon;Lee, Dong-Hoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.6
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    • pp.1141-1149
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    • 2007
  • This paper describes two major techniques; image processing and gas vent insert and rejection control, for efficient gas vent exchange and holes detecting on the shoes mold. The key idea is to detect holes on the mold to select which holes to insert and to reject automatically guide center of hole's position. This allows us to save labor time while minimizing defective rate of PU shoes mold forming and production costs for gas vent exchange such as insertion and rejection.. Our experimental results have demonstrated that the hole's detection and gasvent exchange mechanism are more efficient and provide accurate mechanism to mitigate risks of vent injection/rejection failures.

A Study on the Efficient TICC(Time Interval Clustering Control) Algorithm using Attribute of Node (노드의 속성을 고려한 효율적인 TICC(Time Interval Clustering Control) 알고리즘에 관한 연구)

  • Kim, Young-Sam;Doo, Kyoung-Min;Lee, Kang-Whan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.9
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    • pp.1696-1702
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    • 2008
  • A MANET(Mobile Ad-hoc Network) is a multi-hop routing protocol formed by a collection without the intervention of infrastructure. So the MANET also depended on the property as like variable energy, high degree of mobility, location environments of nodes etc. Generally the various clustering technique and routing algorithm would have proposed for improving the energy efficiency. One of the popular approach methods is a cluster-based routing algorithm using in MANET. In this paper, we propose an algorithm techniques which is TICC (Time Interval Clustering Control) based on energy value in property of each node for solving cluster problem. It provides improving cluster energy efficiency how can being node manage to order each node's energy level. TICC could be able to manage the clustering, re-configuration, maintenance and detection of Node in MANET. Furthermore, the results of modeling shown that Node's energy efficiency and lifetime are improved in MANET.

A Study About Image Processing Algorithm Development For Textile Inspection (섬유 원단검사를 위한 영상처리 알고리즘 개발에 관한 연구)

  • 표성배
    • Journal of the Korea Society of Computer and Information
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    • v.7 no.3
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    • pp.30-35
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    • 2002
  • This study is for developing an algorithm to detect defects of manufactured textile fiber. We used CCD Video Input Equipments in order to capture fiber textile images. Though most of the fiber manufacturing procedures consist of automatic systems, present textile detecting systems are depending on manual inspection system. However this method is not very economical. Therefore we can expect high production rate in the fiber manufacturing area if we could develop and utilize an image processing algorithm to inspect defects of textile fiber. The study was aimed at and achieved development of an detecting algorithm using image processing methods and related mechanical system which enable to detect missing of threads, mixing of unnecessary materials, polluted areas, scars, and colour differences in the textile. Through this study we could devise a manless system for detection of fiber textile and Provide possibilities which apply the image Processing techniques to the other manufacturing inspection systems.

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