• Title/Summary/Keyword: 열화 예측

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압력용기강의 경년열화 평가와 그 대책

  • 권재도
    • Journal of the KSME
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    • v.32 no.4
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    • pp.340-350
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    • 1992
  • 이 글에서는 재료의 경년열화의 종류, 판정 방법 등에 관한 일반사항을 기술하고 고온 . 고압용 기의 경년열화현상의 대표적인 예인 T.E의 기구와 T.E감수성에 미치는 화학성분의 영향에 대해 설명하였다. 아울러 필자가 그 동안 연구해온 T.E에 의한 재료강도저하를 설명하고 수명예측을 행할 수 있는 방법을 설명하였다. 끝으로 열화의 비파괴 판정만으로 수명예측이 어려우므로 시 간에 따른 열화 정도를 파악 할 수 있는 재료강도의 주곡선을 만들어야 할 것이다. 이와 같은 실험을 하기 위해 열화재의 가속제작방법과 열화치료대책 등에 대해 설명하였다. 앞으로 국내 에서는 열화에 대한 재료강도의 주곡선이 많이 얻어져서 기계 구조물의 수명예측이 정확하게 이루어질 날이 올 것을 기대한다.

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Numerical Approach to Predict the Long Term Behavior of Tunnel Considering the Degradation of Tunnel Members (수치해석을 이용한 터널 부재의 열화로 인한 장기 거동 예측)

  • Hoki, Ban;Donggyou, Kim
    • Journal of the Korean GEO-environmental Society
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    • v.23 no.12
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    • pp.33-39
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    • 2022
  • This paper presents the long-term behavior of tunnel considering the degradation of concrete lining and surrounding soil. Tunnel is a composite structure which has supporting elements (shotcrete, lining, and rockbolt) and surrounding soils. These supporting elements and surrounding soils undergo the degradation as time goes. A proposed degradation function which has two parameters which control the residual strength and degradation shape was applied to the numerical analysis. The results showed the plastic zone was spread around tunnel due to the degradation leading to the increase in unstability of tunnel.

A Counterplan and Life Prediction of Degradaded Structures (劣化 構造物의 壽命豫測과 그 對策)

  • 권재도;진영준
    • Journal of Welding and Joining
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    • v.13 no.2
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    • pp.32-41
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    • 1995
  • 본 고에서는 경년열화의 종류, 열화의 판정방법 등에 관한 일반사항과 열화 및 수명예측 문 제를 해결하기 위한 문제점등을 기술하였고, 그 동안 연구되어진 열화 현상에 의한 재료강도의 저하현상을 설명하였다. 또한 열화현상은 비파괴 판정만으로 수명예측이 어려우므로 시간에 따라 진행하는 열화의 진행곡선이 반드시 필요할 것이다. 이와 같이 열화진행 정도를 추정하기 위해 열화재의 가속제작 방법과 레이저 빔의 고온의 열원을 이용한 열화 치료 가능성을 제시 하였다. 아울러 열화치료에 대해 정도높은 방법에 제시된다면 기존 기계구조물을 안전하고, 지속적으로 사용하여 경제적인 손실을 줄일 수 있을 것으로 기대한다.

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Effect of Temper-Embrittlement on Surface Crack Growth and Fatigue Life Prediction (재질열화가 표면 균열 진전에 미치는 영향과 수명 예측에 관한 연구)

  • 권재도
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.13 no.5
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    • pp.921-927
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    • 1989
  • One of the most important problems in recent life prediction is to introduce the degradation effects into life prediction procedure. In the present paper, the effect of the material degradation on the fatigue surface crack growth and fatigue life prediction in a 2 1/4 Cr-1Mo steel were investigated. The 2 1/4 Cr-1Mo steel has been used in a plant having operated for over 60000hours and subjected to material degradation due to temper-embitterment. A Monte-Carlo simulation was made on the basis of the data obtained in the experiment in order to determine the P-S-N diagrams of surface crack growth for the degraded and recovered steels.

선박 스팀 배관 고장 진단과 예측을 위한 열화상 모니터링 시스템 개발

  • 임성래;최경열;박순호
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2023.11a
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    • pp.111-113
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    • 2023
  • 자율운항선박 기술개발사업 중 2세부(자율운항선박 핵심 기관시스템 성능 모니터링 및 고장예측 진단 기술 개발)과제에서 자율운항선박 핵심장비 중 증기 배관(Steam Pipe)의 모니터링 및 고장예측 시스템 중 열화상 카메라에 의한 증기 배관(Steam Pipe)을 브라우저에서 모니터링 하는 시스템을 연구 및 개발 목표로 한다.

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Degradation Quantification Method and Degradation and Creep Life Prediction Method for Nickel-Based Superalloys Based on Bayesian Inference (베이지안 추론 기반 니켈기 초합금의 열화도 정량화 방법과 열화도 및 크리프 수명 예측의 방법)

  • Junsang, Yu;Hayoung, Oh
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.27 no.1
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    • pp.15-26
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    • 2023
  • The purpose of this study is to determine the artificial intelligence-based degradation index from the image of the cross-section of the microstructure taken with a scanning electron microscope of the specimen obtained by the creep test of DA-5161 SX, a nickel-based superalloy used as a material for high-temperature parts. It proposes a new method of quantification and proposes a model that predicts degradation based on Bayesian inference without destroying components of high-temperature parts of operating equipment and a creep life prediction model that predicts Larson-Miller Parameter (LMP). It is proposed that the new degradation indexing method that infers a consistent representative value from a small amount of images based on the geometrical characteristics of the gamma prime phase, a nickel-base superalloy microstructure, and the prediction method of degradation index and LMP with information on the environmental conditions of the material without destroying high-temperature parts.

Service Life Prediction for Steel Bridge Coatings with Type of Coating Systems (도장계 종류에 따른 강교 도장의 공용수명 예측)

  • Lee, Chan Young;Chang, Taesun
    • Journal of Korean Society of Steel Construction
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    • v.28 no.5
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    • pp.325-335
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    • 2016
  • To predict service life of coating systems registered in Korean specifications for steel bridge coatings, field deterioration evaluation and accelerated weatherproof test were carried out, and deterioration models were drawn through regression analysis for evaluation results. For the coating systems that have not been used in field, regression analyses were carried out for the virtual evaluation results drawn by applying coordination factor to the field evaluation results for chlorinated rubber and urethane topcoat system. Service life prediction results showed that application of thermal sprayed coating (TSC) could extend service life of coatings to more than twice of general coatings.

Prediction of Lifetime of Steel Bridge Coating on Highway for Effective Maintenance (고속도로 강구조물의 효율적 유지관리를 위한 도막수명예측)

  • Lee, Chan-Young;Cheong, Haimoon;Park, Jin-Hwan
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.3A
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    • pp.341-347
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    • 2008
  • Among coating systems used for steel bridge coatings on highway such as red lead-pigmented alkyd, chlorinated rubber, waterborne inorganic zinc, inorganic zinc/epoxy/urethane and inorganic zinc/epoxy/fluororesin, evaluation of deterioration degree and prediction of lifetime through regression analysis were carried out for coating systems widely used and grossly degraded. For evaluation of deterioration degree, 75 bridges on highway were selected, and evaluations were carried out according to point offering method regulated by Guideline of maintenance coating for steel bridges used in Korea Expressway Corporation. Lifetime prediction results showed 13.0~13.3 years for the whole nation, 11.8 years for urban and industrial region in the metropolitan area, 13.2 years for rural region except the metropolitan area, 13.5~13.7 years for chlorinated rubber coating systems, and 12.86 years for red lead-pigmented alkyd systems. For prediction of the rest life of coating, we tried to execute parallel translations of standard deterioration curve to current life and deterioration degree for both x and y axes, and it was thought that parallel translation for x axis corresponded to deterioration aspects in actual environment. Maximum and minimum equations were derived from standard deterioration equation by adding and subtracting error values deduced in regression analysis to/from each coefficient in order to establish maintenance coating criteria for overall steel bridges on highway. Whole domain was divided into 8 parts in order to predict the rest life of coating and optimum time of maintenance coating, and maintenance coating criteria for each 8 domains were presented.

절연유열화센서를 이용한 변압기 ON-LINE 진단(下)

  • 강장원
    • Electric Engineers Magazine
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    • v.184 no.12
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    • pp.41-46
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    • 1997
  • 본 시스템은 전기사용상태에서 컴퓨터를 통하여 변압기를 상시 감시할 수 있는 진단방법으로 절연유열화센서를 이용한 열화측정용 진단시스템으로서 절연유속에 절연유열화센서를 설치하고 DC2kV 전압을 센서 양단에 인가한 후 누설전류를 nA단위로 측정하고 현재온도 상태를 측정하여 이 신호를 진단장치에서 A/D변환, 증폭, 제어하여 컴퓨터로 전송함으로써 파형감시, 데이터저장, 분석, 진단결과 분석기록표 출력 등이 가능하며 이 데이터를 이용하여 절연유의 열화정도를 예측하거나 판정할 수 있다.

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Degradation-Based Remaining Useful Life Analysis for Predictive Maintenance in a Steel Galvanizing Kettle (철강 도금로의 예지보전을 위한 열화 기반 잔존수명 분석)

  • Shin, Joon Ho;Kim, Chang Ouk
    • Journal of the Korea Convergence Society
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    • v.10 no.12
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    • pp.271-280
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    • 2019
  • Smart factory, a critical part of digital transformation, enables data-driven decision making using monitoring, analysis and prediction. Predictive maintenance is a key element of smart factory and the need is increasing. The purpose of this study is to analyze the degradation characteristics of a galvanizing kettle for the steel plating process and to predict the remaining useful life(RUL) for predictive maintenance. Correlation analysis, multiple regression, principal component regression were used for analyzing factors of the process. To identify the trend of degradation, a proposed rolling window was used. It was observed the degradation trend was dependent on environmental temperature as well as production factors. It is expected that the proposed method in this study will be an example to identify the trend of degradation of the facility and enable more consistent predictive maintenance.