• Title/Summary/Keyword: 초음파 용접기

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Update Application of Ultrasonic Flaw Detector (초음파탐상시험의 최신응용)

  • 조정상
    • Journal of Welding and Joining
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    • v.12 no.4
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    • pp.21-34
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    • 1994
  • 컴퓨터의 발달과 아울러 High Technology분야에서 급속도로 발전되어 FULL DIGITAL 초음 탐상기도 제 3세대의 NoteBook타입 초음파 탐상기가 선보인 것이다. 휴대하기 간편하며, 다양한 기능을 갖추었으면서도 사용하기 아주 쉽게 된 것이 특징이다. 산업의 고도화 성장과 급속한 발전으로 인하여 다양한 재질, 다양한 형태, 다양한 적용범위가 폭 넓어지고 있기 때문에 여기에 가장 알맞는 기능을 가진 초음파 두께기의 탐상기를 고려하지 않으면 외화낭비, 시간낭비, 그 밖에 여러 가지 낭비가 되게된다. 따라서 이제부터 초음파 두께기분야와 초음파 탐상기분야에서 어떻게 변천되어왔고, 어떻게 산업에 응용할 수 있는지를 살펴보자.

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The Problem and Improvement Plan of Ultrasonic Exploration of Weld Zone in Railway Rails (철도 레일 용접부 초음파 탐상의 문제점 및 개선방안)

  • Jang, Suk-Jae
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.8 no.4
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    • pp.123-133
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    • 2004
  • The evaluation standard method of weld zone in rails is not exhibited in case of the domestic and the outside about ultrasonic inspection method. therefore, practical affairs a mans on the ground know very little about evaluation method of pass and failure. This paper discuss about ultrasonic exploration of weld zone in railway rails to know practical affairs a mans that the first, "problem and improvement direction of domestic track construction specifications applied according to a place ordering" and the second, "the method applied of ultrasonic exploration test of weld zone in railway rails".

Numerical Analysis on Cooling of Encapsulation Process for Ultrasonic Multifunction Equipment (초음파 복합기 봉지공정 냉각에 관한 수치해석)

  • Park, Sang-Jun;Lee, Young-Lim;Jung, Eui- Dae
    • Proceedings of the KAIS Fall Conference
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    • 2012.05b
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    • pp.759-761
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    • 2012
  • 초음파는 정보 측정분야와 에너지를 이용한 용접 및 가동 등에서 널리 사용되고 있으며 최근에는 이 종금속 접합방법에 있어 초음파 에너지를 이용한 용접이 사용되고 있다. 진공유리 최종공정인 배기공정에 있어 연납과 유리의 접합에 초음파 에너지를 사용하고 있는데 초음파 접합기 하단부의 O링이 열에 의해 변형이 되어 기밀이 유지되지 않게 된다. 본 연구에서는 혼 하단부와 O링의 온도를 최적으로 유지하기 위해 냉각유로를 설치하여 O링의 온도에 미치는 영향에 대해 고찰하였다.

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Development of an Intelligent Ultrasonic Signature Classification Software for Discrimination of Flaws in Weldments (용접 결함 종류 판별을 위한 지능형 초음파 신호 분류 소프트웨어의 개발)

  • Kim, H.J.;Song, S.J.;Jeong, H.D.
    • Journal of the Korean Society for Nondestructive Testing
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    • v.17 no.4
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    • pp.248-261
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    • 1997
  • Ultrasonic pattern recognition is the most effective approach to the problem of discriminating types of flaws in weldments based on ultrasonic flaw signals. In spite of significant progress in the research on this methodology, it has not been widely used in many practical ultrasonic inspections of weldments in industry. Hence, for the convenient application of this approach in many practical situations, we develop an intelligent ultrasonic signature classification software which can discriminate types of flaws in weldments based on their ultrasonic signals using various tools in artificial intelligence such as neural networks. This software shows the excellent performance in an experimental problem where flaws in weldments are classified into two categories of cracks and non-cracks. This performance demonstrates the high possibility of this software as a practical tool for ultrasonic flaw classification in weldments.

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Electrical Properties of Piezoelectric Ceramics for Ultrasonic Welder (초음파 융착기용 압전 세라믹스의 전기적 특성)

  • Lee, Su-Ho
    • Journal of IKEEE
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    • v.22 no.1
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    • pp.201-204
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    • 2018
  • We know that the piezoelectric constant d, the dielectric constant, and the electric-mechanical coupling coefficient affect the output for piezoelectric ceramics used in ultrasonic welders. Therefore, in this study, the characteristics of ceramics according to the changes of additives to the components of PZT-PMN-PZW were examined. When the addition amount of $MnO_2$ was 2 wt%, the most excellent properties were shown, which suggested the applicability as a material for fusion welding.

Defects Classification with UT Signals in Pressure Vessel Weld by Fuzzy Theory (퍼지이론을 이용한 압력용기 용접부 초음파 결함 특성 분류)

  • Sim, C.M.;Choi, H.L.;Baik, H.K.
    • Journal of the Korean Society for Nondestructive Testing
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    • v.17 no.1
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    • pp.11-22
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    • 1997
  • It is very essential to get the accurate classification of defects in primary pressure vessel and piping welds for the safety of nuclear power plant. Ultrasonic testing has been widely applied to inspect primary pressure vessel and piping welds of nuclear power plants during PSI / ISI. Classification of flaws in weldments from their ultrasonic scattering signals is very important in quantitative nondestructive evaluation. This problem is ideally suited to a modern ultrasonic Pattern recognition technique. Here, a brief discussion on systematic approach to this methodology is presented including ultrasonic feature extraction, feature selection and classification. A stronger emphasis is placed on Fuzzy-UTSCS (UT signal classification system) as efficient classifiers for many practical classification problems. As an example Fuzzy-UTSCS is applied to classify flaws in ferrite pressure vessel weldments into two types such as linear and volumetric. It is shown that Fuzzy-UTSCS is able to exhibit higher performance than other classifiers in the defect classification.

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A Development of an Intelligent Ultrasonic Testing System for Nondestructive Testing of Weldments (용접부 비파괴검사를 위한 지능형 초음파 탐상시스템 개발)

  • Song, Sung-Jin;Cho, Hyun;Kim, Chang-Hwan;Jung, Hee-Jun;Lee, Jung-Gi
    • Proceedings of the KWS Conference
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    • 2003.11a
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    • pp.106-109
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    • 2003
  • 지능형 초음파 탐상 시스템은 재래식 초음파 탐상시험에서 주된 논란의 대상이 되는 검사의 객관성과 신뢰성, 그리고 일반화된 검사자료의 데이터베이스화 문제를 해결할 수 있는 해법으로 제시 되었다. 또한 이 시스템은 검사의 자동화(혹은 간이자동화)를 통해 검사자에 의해 수작업으로 작성되던 피검체 및 결함관련 정보를 자동으로 계산하고 데이터베이스화함으로써, 열악한 검사환경에서도 최선의 능률을 제공할 수 있는 기반을 제공한다. 본 논문에서는 지능형 시스템의 개발을 위해 필요한 요소기술과 개발된 시스템의 전반에 관하여 논한다.

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An Ultrasonic Pattern Recognition Approach to Welding Defect Classification (용접 결함 분류를 위한 초음파 형상 인식 기법)

  • Song, Sung-Jin
    • Journal of the Korean Society for Nondestructive Testing
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    • v.15 no.2
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    • pp.395-406
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    • 1995
  • Classification of flaws in weldments from their ultrasonic scattering signals is very important in quantitative nondestructive evaluation. This problem is ideally suited to a modern ultrasonic pattern recognition technique. Here brief discussion on systematic approach to this methodology is presented including ultrasonic feature extraction, feature selection and classification. A stronger emphasis is placed on probabilistic neural networks as efficient classifiers for many practical classification problems. In an example probabilistic neural networks are applied to classify flaws in weldments into 3 classes such as cracks, porosity and slag inclusions. Probabilistic nets are shown to be able to exhibit high performance of other classifiers without any training time overhead. In addition, forward selection scheme for sensitive features is addressed to enhance network performance.

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Field Application of Phased Array Ultrasonic Testing for Structural Weld Overlay on Dissimilar Welds of Pressurizer Nozzles (가압기 노즐 이종금속 용접부의 구조적 오버레이 용접부에 대한 위상배열 초음파기법의 현장 적용)

  • Kim, Jin-Hoi;Kim, Yongsik
    • Journal of the Korean Society for Nondestructive Testing
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    • v.35 no.4
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    • pp.268-274
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    • 2015
  • Weld overlay was first used in power plants in the US in the early 1980s as an interim method of repairing the welds of flawed piping joints. Weld overlaid piping joints in nuclear power plants must be examined periodically using ultrasonic examination technology. Portable phased array ultrasonic technology has recently become available. Currently, the application of preemptive weld overlays as a mitigation technique and/as a method to improve the examination surface condition for more complex configurations is becoming more common. These complex geometries may require several focused conventional transducers for adequate inspection of the overlay, the original weld, and the base material. Alternatively, Phased array ultrasonic probes can be used to generate several inspection angles simultaneously at various focal depths to provide better and faster coverage than that possible by conventional methods. Thus, this technology can increase the speed of examinations, save costs, and reduce radiation exposure. In this paper, we explain the general sequence of the inspection of weld overlay and the results of signal analysis for some PAUT (phased array ultrasonic testing) signals detected in on-site inspections.

Development of the Automated Ultrasonic Testing System for Inspection of the flaw in the Socket Weldment (소켓 용접부 결함 검사용 초음파 자동 검사 장비 개발)

  • Lee, Jeong-Ki;Park, Moon-Ho;Park, Ki-Sung;Lee, Jae-Ho;Lim, Sung-Jin
    • Journal of the Korean Society for Nondestructive Testing
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    • v.24 no.3
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    • pp.275-281
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    • 2004
  • Socket weldment used to change the flow direction of fluid nay have flaws such as lack of fusion and cracks. Liquid penetrant testing or Radiography testing have been applied as NDT methods for flaw detection of the socket weldment. But it is difficult to detect the flaw inside of the socket weldment with these methods. In order to inspect the flaws inside the socket weldment, a ultrasonic testing method is established and a ultrasonic transducer and automated ultrasonic testing system are developed for the inspection. The automated ultrasonic testing system is based on the portable personal computer and operated by the program based Windows 98 or 2000. The system has a pulser/receiver, 100MHz high speed A/D board, and basic functions of ultrasonic flaw detector using the program. For the automated testing, motion controller board of ISA interface type is developed to control the 4-axis scanner and a real time iC-scan image of the automated testing is displayed on the monitor. A flaws with the size of less than 1mm in depth are evaluated smaller than its actual site in the testing, but the flaws larger than 1mm appear larger than its actual size on the contrary. This tendency is shown to be increasing as the flaw size increases. h reliable and objective testing results are obtained with the developed system, so that it is expected that it can contribute to safety management and detection of repair position of pipe lines of nuclear power plants and chemical plants.