• Title/Summary/Keyword: welding flaw

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Fabrication of Mechanical Fatigue Flawed Specimen with Notch Processing (노치가공법에 의한 기계적 피로결함 시험편 제조)

  • Hong, Jae-Geun;Park, Ban-Uk
    • 연구논문집
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    • s.32
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    • pp.55-64
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    • 2002
  • Performance demonstration with real flawed specimens has been strongly required for nondestructive evaluation of safety class components in nuclear power plant. Specimen has been designed to produce mechanical fatigue flaw with tension stress and fatigue flaw has been produced to control stress and cycle, for suitable roughness. Notch condition is considered for control of fracture mode. After seal welding for fracture surface, final welding was performed to complete flaw specimen with GTAW(Gas Tungsten Arc welding) and FCAW(Flux Cored Arc Welding). It was demonstrated flaw size of flawed specimen by radiographic. testing and ultrasonic testing.

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New Approaches to Ultrasonic Classification and Sizing of Flaws in Weldments (초음파시험에 의한 용접결함의 종류판별과 크기산정의 새로운 기법)

  • 송성진
    • Journal of Welding and Joining
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    • v.13 no.4
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    • pp.132-146
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    • 1995
  • Flaw classification(determination of the flaw type) and flaw sizing (prediction of the flaw shape, orientation and sizing parameters) are very important issues in ultrasonic nondestructive evaluation of weldments. In this work, new techniques for both classification and sizing of flaws in weldments are described together with extensive review of previous works on both topics. In the area of flaw classification, a methodology is developed which can solve classification problems using probabilistic neural networks, and in the area of flaw sizing, a time-of-flight equivalent(TOFE) sizing method is presented.

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Characterization of Acoustic Emission Signal for Welding Flaw and Stress Corrosion of SPPH Steels (SPPH강의 용접결함과 응력부식에 따른 음향 방출 신호의 특성)

  • Kim, Sung-Dai;Jung, Woo-Gwang;Lee, Jong-O;Jung, Yu-Jin
    • Journal of the Korean Society for Nondestructive Testing
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    • v.27 no.2
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    • pp.97-104
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    • 2007
  • An investigation has been made on the relationship between characteristics of Acoustic Emission (AE) signal in welding flaw and the stress corrosion defect in-service for the high pressure pipe steel. In order to tackle the problem of welding flaw in high pressure pipe, specimens were made by the aid of the application of both corrosion liquid usage and a quenching method after local heating. The amplitude of signal was $60{\sim}75\;dB$ in the territory which is suspected for defect, and the specimens which only have welding flaw showed gradients of 0.034, 0.034, 0.035. Moreover, there is a certain increase in gradient even though the differences are very slight. That is, corrosion specimens showed new gradients of 0.040, 0.039, 0.041 which put welding flaw and corrosion mechanism together. After pressurizing 3 minutes, AE signal has been detected from welding flaw easily in each part of the section. It is possible to predict the occurrence and also prevent the damage of stress corrosion crack which has characteristics of cleavage fracture.

Application of Engineering Critical Assessment Method in the Development Stage of Welding Consumables (용접 재료 개발 단계에서 ECA 기법을 통한 재료의 인성 적합성 평가)

  • Shin, Yong-Taek;Jo, Young-Ju;Seo, Dae-Gon
    • Journal of Welding and Joining
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    • v.34 no.6
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    • pp.16-19
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    • 2016
  • Needs for structural integrity procedure such as BS 7910, the nuclear industry document R6 Rev.4 and the European FITNET procedure are being increased in industry. Especially, BS 7910 allows metallic structures to be assessed on the basis of fracture mechanics analysis rather than strict adherence to design and fabricated codes. This study is to propose the flaw assessment to judge the toughness level of welding consumables at the development stage. The FCA welding consumables with YP 690MPa and CTOD over 0.25 mm have been developed and its allowable weld flaw size considering actually applied environment has been evaluated. Since the estimated allowable defect size is sufficiently detectable in nondestructive testing, the toughness of the developed material is judged to be appropriate and no problem in securing the structural integrity.

Environmental Improvement in a Welding Factory by the Jet Ventilation System (제트 환기 시스템 도입에 의한 플랜트 기자재 용접장의 환경 개선 효과 분석)

  • Lim, Jung-Ho;Lee, Tae-Gu;Moon, Seung-Jae;Lee, Jae-Heon
    • Plant Journal
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    • v.4 no.2
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    • pp.66-72
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    • 2008
  • In this inquiry, I would suggest jet ventilation system for effective elimination of welding flaw at machinery material welding shop on plant and evaluate the airstream on inner space and property of welding flaw's density through the examination. We can know outer atmosphere inflows at the speed of about 0.05m/s from western entrance in case of stopping the jet ventilation system, but airstream is accumulated on entire space. At height of worker's breathing surface(Ground Level = 1.5 m, below of GL) and welding work center, density of welding flaw on upper part(GL = 12m) is appeared 4 times higher than outer atmosphere at surplus range besides nearby of western entrance. At operation of jet ventilation system, since the smooth air current transfer at inner space and exhaust effect the wind speed is maintained at 0.932 m/s at the point of height of worker's breathing surface on inner space and it's concluded about the working conditions have been better than before operation of jet ventilation system because of that results show that inner space density of welding flaw at height of worker's breathing surface is 40.5%, and in the work shop, it is 20.3% at upper part.

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Speckle Noise Reduction and Flaw Detection of Ultrasonic Non-destructive Testing Based on Wavelet Domain AR Model (웨이브렛 평면 AR 모델을 이용한 초음파 비파괴 검사의 스펙클 잡음 감소 및 결함 검출)

  • 이영석;임래묵;김덕영;신동환;김성환
    • Journal of Welding and Joining
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    • v.17 no.6
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    • pp.100-107
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    • 1999
  • In this paper, we deal with the speckle noise reduction and parameter estimation of ultrasonic NDT(non-destructive test) signals obtained during weld inspection of piping. The overall approach consists of three major steps, namely, speckle noise analysis, proposition of wavelet domain AR(autoregressive) model and flaw detection by proposed model parameter. The data are first processed whereby signals obtained using vertical and angle beam transducer. Correlation properties of speckle noise are then analyzed using multiresolution analysis in wavelet domain. The parameter estimation curve obtained using the proposed model is classified a flaw in weld region where is contaminated by severe speckle noise and also clear flaw signal is obtained through CA-CFAR threshold estimator that is a nonlinear post-processing method for removing the noise from reconstructed ultrasonic signal.

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Flaw Discrimination for Welding Points in Boiler Tubes by Phased Array Ultrasonic Testing (위상배열초음파탐상검사에 의한 보일러관 용접부의 결함 판별)

  • Cho, Kuk-Hyung;Yoo, Ho-Seon
    • Plant Journal
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    • v.14 no.2
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    • pp.45-50
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    • 2018
  • Nuclear safety law's amendment caused many problems to use radiography testing(RT). Phased array ultrasonic testing(PAUT) was adapted instead of RT for NDE of welding points in boiler tubes these days. Unfortunately, PAUT doesn't give us the discrimination characteristics about flaws distinction and flaws size clearly. In this thesis, the distinction characteristics of flaw types and the detection characteristics of flaw size using PAUT of welding points in boiler tubes were analyzed. It was concluded that PAUT can distinguish between planar flaws and rounded flaws, but it is hard to tell apart the types of flaw respectively. We paid attention to the discrimination of flaws size because PAUT tends to underestimate the flaw size of porosity and underestimate or overestimate the flaw size of porosity.

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The Performance Comparison of Classifier Algorithm for Pattern Recognition of Welding Flaws (용접결함의 패턴인식을 위한 분류기 알고리즘의 성능 비교)

  • Yoon, Sung-Un;Kim, Chang-Hyun;Kim, Jae-Yeol
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.15 no.3
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    • pp.39-44
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    • 2006
  • In this study, we nodestructive test based on ultrasonic test as inspection method and compared backpropagation neural network(BPNN) with probabilistic neural network(PNN) as pattern recognition algorithm of welding flasw. For this purpose, variables are applied the same to two algorithms. Where, feature variables are zooming flaw signals of reflected whole signals from welding flaws in time domain. Through this process, we confirmed advantages/disadvantages of two algorithms and identified application methods of two algorithms.

A Study on Construction of Automatic Inspection System for Welding Flaws (용접결함 검사 자동화 시스템 구축에 관한 연구)

  • Kim, Chang-Hyun;Yu, Hong-Yeon;Hong, Sung-Hoon;Kim, Jae-Yeol
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.16 no.6
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    • pp.37-42
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    • 2007
  • The purpose of this research is stability estimation of plant structure through classification and recognition about welding flaw in SWP(Spiral Welding Pipe). And, In this research, we used nondestructive test based on ultrasonic test as inspection method, and made up 2-axes inspection robot in order to control of ultrasonic probe on the SWP surface, and programmed to image processing and probabilistic neural network(PNN) classifying code by MATLAB programming. Through this process, we proved efficiency on the system of SWP stability Estimation.

A Study on Welding Union by Welding Fume Shape Measurement (용접 Fume 형상 측정에 따른 용접 결합에 관한 연구)

  • Kim J.Y.;Choi C.J.;Kwak N.S.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2006.05a
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    • pp.35-36
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    • 2006
  • In Nd:YAG laser welding, evaluation methods of welding flaw are various. But, the method due to fume shape is difficult to classification of welding flaw. The Nd:YAG laser process is known to have high speed and deep penetration capability to become one of the most advanced welding technologies. At the present time, some methods are studied for measurement of fume shape by using high-speed camera and photo diode. This paper describes the machining characteristics of SM45C carbon steel welding by use of an Nd:YAG laser. In spite of its good mechanical characteristics, SM45C carbon steel has a high carbon contents and suffers a limitation in the industrial application due to the poor welding properties. In this study, fume shape was measured by infrared thermal camera that is non-contact/non-destructive thermal measurement equipment through change of laser generating power, speed, focus. Weld was performed on bead-on method. Measurement results are compared as two equipments. Here, two results are composed of measurement results of fume quantities due to fume shape by infrared thermal camera and inspection results of weld bead include weld flaws by ultrasonic inspector.

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