• 제목/요약/키워드: FAC

검색결과 326건 처리시간 0.03초

원전 2차계통의 출력증강 운전에 따른 배관감육 영향 분석 (Analysis of Wall-Thinning Effects Caused by Power Uprates in the Secondary System of a Nuclear Power Plant)

  • 윤훈;황경모;이효승;문승재
    • Corrosion Science and Technology
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    • 제15권3호
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    • pp.135-140
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    • 2016
  • Piping and equipment are degraded by flow-accelerated corrosion (FAC) in nuclear power plants. FAC causes numerous problems and nuclear utilities maintain programs to control FAC. The key parameters influencing FAC are hydrodynamic conditions, water chemistry, and effect of materials. Recently, a nuclear utility has planned slight power uprates in Korea. Operating conditions need to be changed in the secondary system according to power uprates. This study analyzed the effect of wall-thinning caused by power uprates. The change of operation data in the secondary cycle is reviewed, and wall-thinning rates are analyzed in the main lines. As a result, two phase (mixture of water and steam) lines have a greater impact than a water line under power uprate conditions. Also, the quality of steam is the most important factor for FAC in two phase lines.

The SPWM Fuzzy Controller for speed control of Induction Motor

  • Kamsri, T.;Riewruja, V.;Ukakimaparn, P.;Pongswatd, S.;Kummool, S.
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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    • pp.465-465
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    • 2000
  • The paper presents the fuzzy control technique to adjust the gain schedule in the fuzzy controller. The micro computer is designed to the fuzzy controller to execute the proportional gain with the data of the error and speed command. The gain schedule is the fuzzy set which execute based on the fuzzy rule. The gain schedule from the fuzzy controller is fed to the sinusoidal pulse width modulation (SPWM) inverter for control the response and speed of the induction motor. The induction motor coupling to the DC motor and tachogenerator which DC motor as a load. The test result of the fuzzy control technique in the open loop control, it provides a good response and in the closed loop control it can control speed in the any condition of load design

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Preparation of Carbon Composite with High Oxidation Resistance by MoSi2 Dispersion

  • Goto, S.;Kodera, M.;Toda, S.;Fujimori, H.;Ioku, K.
    • The Korean Journal of Ceramics
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    • 제5권2호
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    • pp.115-118
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    • 1999
  • Carbon composites with $MoSi_2$ dispersion were prepared by hot-pressing at $1700^{\circ}C$ under 30 MPa for 1 h using polysilazance as binding material. The composites consisted of C, $Mo_{4.8}Si_3C_{0.6}$ and SiC. Bulk density and porosity of the carbon composites with 10 vol% $MoSi_2$ was 1.8g.$\textrm{cm}^{-3}$ and 34%, respectively. This composite was oxidized about 0.05mm from the surface of the carbon composite after oxidation test at $1500^{\circ}C$ for 10h in air. Formation of the $SiO_2$ glass layer was observed by SEM. When this composite suffered damage in the coating layer, it had hardly farther oxidation because of its self-repairing property. The composite prepared in this study indicated good oxidation resistance.

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Pipeline wall thinning rate prediction model based on machine learning

  • Moon, Seongin;Kim, Kyungmo;Lee, Gyeong-Geun;Yu, Yongkyun;Kim, Dong-Jin
    • Nuclear Engineering and Technology
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    • 제53권12호
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    • pp.4060-4066
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    • 2021
  • Flow-accelerated corrosion (FAC) of carbon steel piping is a significant problem in nuclear power plants. The basic process of FAC is currently understood relatively well; however, the accuracy of prediction models of the wall-thinning rate under an FAC environment is not reliable. Herein, we propose a methodology to construct pipe wall-thinning rate prediction models using artificial neural networks and a convolutional neural network, which is confined to a straight pipe without geometric changes. Furthermore, a methodology to generate training data is proposed to efficiently train the neural network for the development of a machine learning-based FAC prediction model. Consequently, it is concluded that machine learning can be used to construct pipe wall thinning rate prediction models and optimize the number of training datasets for training the machine learning algorithm. The proposed methodology can be applied to efficiently generate a large dataset from an FAC test to develop a wall thinning rate prediction model for a real situation.

Statistical study of phase reversal locations on the SC-associated preliminary impulse

  • Sung, Suk-Kyung;Kim, Khan-Hyuk;Cho, Kyung-Suk
    • 한국우주과학회:학술대회논문집(한국우주과학회보)
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    • 한국우주과학회 2008년도 한국우주과학회보 제17권2호
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    • pp.30.3-30.3
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    • 2008
  • In this study, we investigate the magnetic latitude of phase reversal on the sudden commencement (SC)-associated preliminary impulse with 267 SC events using the ground magnetometer data of the IMAGE from 1997 to 2005. During SC event, geomagnetic fields are affected by various currents flowing in the magnetosphere and/or ionosphere. In particular, high-latitude geomagnetic field variations are significantly dominated by the change of SC-associated field aligned current (FAC). Until now, however, there are few studies to examine where the location of the FAC in the ionosphere is and what determines the location of the FAC. The location of the SC-associated FAC can be examined by using magnetometer data obtained from high-latitude stations distributed along the same magnetic meridian. The phase reversal locations are concentrated two regions, ~62 deg (L~4.5) and ~70 deg (L~8.5) in magnetic latitude. If FAC is a result of a mode conversion from fast mode to Alfven mode, then the FAC location could be determine by the duration time of the input energy. When we use the rise time, dT, as the input energy, there is no relationship between dT and the location where the first pulse of SC is reversed. We consider other factors such as local time and solar wind condition.

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수치해석 기법을 활용한 FAC 예측 프로그램 보완 (Supplementation of Flow Accelerated Corrosion Prediction Program Using Numerical Analysis Technique)

  • 황경모;진태은;박원;오동훈
    • 대한기계학회논문집B
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    • 제34권4호
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    • pp.437-442
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    • 2010
  • 고온, 고압의 유체가 흐르는 탄소강 배관에서는 유동가속부식으로 인한 배관감육 현상이 발생할 수 있다. 화력 및 원자력발전소에서 유동가속부식으로 인한 배관 손상시 고비용의 보수와 발전 정지를 유발할 뿐 아니라 발전소 신뢰도 및 안전성에 영향을 미칠 수도 있다. CHECWORKS 프로그램은 국내 발전소에서 유동가속부식에 의한 배관 손상을 예방하기 위하여 배관 두께검사 데이터를 평가하고 검사 계획을 수립하는데 이용되어 왔다. 그러나 상기 프로그램은 원전 2차측 배관 모두를 데이터베이스화한 후에 배관라인 그룹별로 유동가속부식 손상을 예측하기 때문에 국부적으로 감육에 민감한 부위를 찾는데 어려움이 있다. 본 논문에서는 CHECWORKS 프로그램을 이용하여 해석을 수행하고 수치해석을 통하여 검증할 수 있는 방법론을 기술하였다. 또한 국내 원전 2개의 배관 라인그룹에 대하여 CHECWORKS 프로그램을 이용한 유동가속부식 민감 부위를 FLUENT를 이용한 수치해석 결과와 비교하였다.

유도초음파기술을 이용한 배관 감육 평가 (Assessment of Pipe Wall Loss Using Guided Wave Testing)

  • 주경문;진석홍;문용식
    • 비파괴검사학회지
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    • 제30권4호
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    • pp.295-301
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    • 2010
  • 원자력발전소 탄소강 배관의 유체가속부식은 주요 경년열화 현상이며 발전소의 성능 및 안전성을 저해할 수 있다. 유체가속부식 검사는 보온재 제거 및 설치로 상당한 비용이 수반되므로 최근에 보온재 제거가 필요 없고 원거리 검사가 가능한 유도초음파에 대한 관심이 점점 증가되고 있다. 유체가속부식 검출에 유도초음파 적용이 가능하다면 검사 비용 절감이 예상된다. 본 연구의 목적은 유체가속부식 손상 유무를 확인하고 결함 검출능을 결정하기 위함이다. 본 연구에서는, 실제 유체가속부식 손상 시험편의 엘보우 첫 번째 용접부와 두 번째 용접부의 진폭 감쇄비를 측정하기 위하여 3가지 검사 기법을 사용하였다. 연구 결과, 유체가속부식 손상을 검출하기 위한 최적의 검사 기법과 최소 결함 검출능을 도출하였다.

기계학습을 이용한 유동가속부식 모델링: 랜덤 포레스트와 비선형 회귀분석과의 비교 (Modeling of Flow-Accelerated Corrosion using Machine Learning: Comparison between Random Forest and Non-linear Regression)

  • 이경근;이은희;김성우;김경모;김동진
    • Corrosion Science and Technology
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    • 제18권2호
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    • pp.61-71
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    • 2019
  • Flow-Accelerated Corrosion (FAC) is a phenomenon in which a protective coating on a metal surface is dissolved by a flow of fluid in a metal pipe, leading to continuous wall-thinning. Recently, many countries have developed computer codes to manage FAC in power plants, and the FAC prediction model in these computer codes plays an important role in predictive performance. Herein, the FAC prediction model was developed by applying a machine learning method and the conventional nonlinear regression method. The random forest, a widely used machine learning technique in predictive modeling led to easy calculation of FAC tendency for five input variables: flow rate, temperature, pH, Cr content, and dissolved oxygen concentration. However, the model showed significant errors in some input conditions, and it was difficult to obtain proper regression results without using additional data points. In contrast, nonlinear regression analysis predicted robust estimation even with relatively insufficient data by assuming an empirical equation and the model showed better predictive power when the interaction between DO and pH was considered. The comparative analysis of this study is believed to provide important insights for developing a more sophisticated FAC prediction model.

배추 력광 품종의 저장 중 1-MCP에 대한 반응 (Responses to 1-MCP during Storage of Kimchi Cabbage Ryouckgwang Cultivar)

  • 홍세진;김병섭;김병삼;엄향란
    • 생물환경조절학회지
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    • 제27권2호
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    • pp.125-131
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    • 2018
  • 배추를 저장하는 동안 품질을 유지하기 위한 방안으로 1-methylcyclopropene(1-MCP) 처리효과를 확인하였다. 수확된 배추는 즉시 실험실로 옮겨와 4개의 그룹(차압예냉 (forced-air cooling, FAC) 처리구, FAC + 0.03mm LLDPE film(Liner) 처리구, $FAC+2{\mu}L{\cdot}L^{-1}$ 1-MCP(1-MCP) 처리구, FAC + 1-MCP + Liner 처리구)으로 분류하여 각각의 처리를 실시한 후 $2^{\circ}C$, 95% RH 저온에서 저장하였다. 저장중 품질변화는 무게 감모율, 가용성 고형물 함량, 경도, 그리고 색도($CIE\;L^*$, $a^*$, $b^*$, chroma, hue angle)를 통해 확인하였다. 저장기간 동안 각 실험구의 감모율은 Liner 처리에 의해서 감소하였다. 저장기간 6주가 경과되면 FAC + 1-MCP + Liner 처리구는 12.5%의 감모율을 보이면서 다른 처리구들에 비해서 감모율을 최소화하였다. 가용성 고형물의 함량은 수확 시 $2.5^{\circ}Brix$였으며, 저장기간이 3주 경과되면서 FAC + 1-MCP + Liner 처리구에서 수확 시의 값이 유지된 반면, 다른 처리구 들은 증가하였다. 배추의 경도는 수확 직후 24.0N 이었으며, FAC + 1-MCP + Liner 처리구에서 저장 6주 경과 후 22.6N으로 수확 당시의 경도가 유지되는 경향을 보였다. 저장 기간 동안 배춧잎의 색 변화는 $CIE\;a^*$와 hue angle 값으로 확인할 수 있으며, 1-MCP 만을 처리할 경우에는 색도 변화에 영향을 미치지 않는 반면 1-MCP를 처리한 다음 Liner 포장을 실시하면 $CIE\;a^*$와 hue angle의 변화를 최소화 시키면서 수확 당시의 색도를 유지시킬 수 있었다. 이상의 결과에서 1-MCP 처리는 배추 력광 품종 저장에는 효과가 미비하나, Liner와 함께 처리할 경우 6주까지 품질유지가 가능하였다.

Demonstration of EPRI CHECWORKS Code to Predict FAC Wear of Secondary System Pipings of a Nuclear Power Plant

  • Lee, Sung-Ho;Seong Jegarl;Chung, Han-Sub
    • Nuclear Engineering and Technology
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    • 제31권4호
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    • pp.375-384
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    • 1999
  • The credibility of CHECWORKS FAC model analysis was evaluated for plant application in a model plant chosen for demonstration. The operation condition at each pipe component was defined before the wear rate analysis by plant data base, water chemistry analysis, and network flow analysis. The predicted wear was compared with the measured wear for 57 sample components selected from 43 susceptible line groups analysed. The inspected 57 locations represent components of highest predicted wear in each line group. Both absolute value and relative ranking comparisons indicated reasonable correlations between the predicted and the measured values. Four components showed much higher measured wear rates than the predicted ones in the feed water train from main feed water pump discharge to steam generator, probably due to high hydrazine concentration operation the effect of which had not been incorporated into the CHECWORKS model. The measured wear was higher than the predicted one consistently for components with least susceptibility to FAC. It is believed that the conservatism maintained during UT data analysis dominated the measurement accuracy. A great deal of enhancement is anticipated over the current plant pipe management program when a comprehensive plant pipe management program is implemented based on the model analysis.

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