• 제목/요약/키워드: data pipe

검색결과 875건 처리시간 0.028초

人工조도 가 있는 二重同心圓管 의 亂流 熱傳達 解析 (Analysis of Turbulent Heat Transfer in a Concentric Annular Pipe with Artificial Roughness)

  • 홍진관;이기만;최영돈
    • 대한기계학회논문집
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    • 제7권3호
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    • pp.301-312
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    • 1983
  • Experimental results for the variation of the flow characteristics and heat transfer coefficients in the entrance region of concentric annular pipe with artificial roughness are compared with the theoretical results by numerical analysis. In the experiments, velocity profiles, pressure gradients and heat transfer coefficients were measured with variation of the Reynolds number for the constant ratio of pitch to height at the hydrodynamic entry region. Wall temperature of inner heated pipe with constant heat flux was measured at thermal entry region after the hydrodynamically fully developed region of flow. Experimental data agree well with numerical predictions. Both results show that turbulent flow of annular pipe with artificial roughness is fully developed thermally much faster than that of smooth pipe. Nusselt number of annular pipe with roughness is much higher than that of smooth pipe. However the ratios of Nusselt number of annular pipe with artificial roughness to that of smooth pipe does not vary with Reynolds number.

딥러닝 알고리즘을 이용한 매설 배관 피복 결함의 간접 검사 신호 진단에 관한 연구 (Indirect Inspection Signal Diagnosis of Buried Pipe Coating Flaws Using Deep Learning Algorithm)

  • 조상진;오영진;신수용
    • 한국압력기기공학회 논문집
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    • 제19권2호
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    • pp.93-101
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    • 2023
  • In this study, a deep learning algorithm was used to diagnose electric potential signals obtained through CIPS and DCVG, used indirect inspection methods to confirm the soundness of buried pipes. The deep learning algorithm consisted of CNN(Convolutional Neural Network) model for diagnosing the electric potential signal and Grad CAM(Gradient-weighted Class Activation Mapping) for showing the flaw prediction point. The CNN model for diagnosing electric potential signals classifies input data as normal/abnormal according to the presence or absence of flaw in the buried pipe, and for abnormal data, Grad CAM generates a heat map that visualizes the flaw prediction part of the buried pipe. The CIPS/DCVG signal and piping layout obtained from the 3D finite element model were used as input data for learning the CNN. The trained CNN classified the normal/abnormal data with 93% accuracy, and the Grad-CAM predicted flaws point with an average error of 2m. As a result, it confirmed that the electric potential signal of buried pipe can be diagnosed using a CNN-based deep learning algorithm.

압축기 흡입배관 압력 맥동 특성의 실험 및 해석 (Analysis and Experiment of Pressure Pulsation in a Suction Pipe of Compressor)

  • 오한음;정의봉;안세진;김민성
    • 한국소음진동공학회논문집
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    • 제24권10호
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    • pp.756-762
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    • 2014
  • This paper dealt with numerical estimation of the pressure pulsation of the refrigerant in a suction pipe of the compressor. The behavior of the pressure pulsation was assumed to satisfy the wave equation. The boundary conditions and properties of refrigerant are necessary as input data of the simulation. The pulsating pressures at 15 points in a pipe were measured simultaneously from the pressure transducers. From the experimental data, the complex phase speed and impedance at the end of the pipe of the refrigerant were estimated using the signal processing and used as the input conditions of the numerical analysis. A commercial acoustic software was used to solve the behavior of pressure pulsation. The numerical results for the pressure pulsation in a pipe with and without expansion chamber were carried out and compared with those by experiments. Finally, numerical procedure to estimate the pressure pulsation in a pipe was established and verified.

직관 배관의 국부 감육결함에 대한 건전성 평가 모델 (Integrity Evaluation Model for a Straight Pipe with Local Wall Thinning Defect)

  • 박치용;김진원
    • 대한기계학회논문집A
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    • 제29권5호
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    • pp.734-742
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    • 2005
  • The present study proposes the integrity evaluation model for a straight pipe with local wall thinning defect, which reflects the characteristics of training shape and loading condition in the Piping of nuclear power plant. For this purpose, a series of finite element analyses are performed under various defect geometries and loading conditions, and real pipe experiment data performed previously is employed. The model includes the effect of thinning length as well as thinning depth and width, and also it considers the combined loading effect between internal pressure and bending moment. The proposed model has been validated using the results of finite element analysis and pipe experiment data. The results indicate that the proposed model provides more reliable predictions of pipe failure than the current existing model, in terms of accuracy, consistency, and conservativeness of results.

Analysis on the Circumference Wall Temperature in a Long Horizontal Pipe with Thermal Stratification

  • Ahn, Jang-Sun;Ko, Yong-Sang;Kim, Yu-Hwan;Park, Byeong-Ho;Kim, Eun-Kee
    • 한국원자력학회:학술대회논문집
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    • 한국원자력학회 1995년도 추계학술발표회논문집(1)
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    • pp.364-370
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    • 1995
  • The One-dimensional fin model is used to analyze the angular wall temperature variation of long horizontal lines, where stratification could result in top-to-bottom differences in wall temperatures. The top and bottom sections are treated separately and coupled by boundary conditions. The thermal stratification analysis is focused on the effects of the heat transfer rates at the pipe surface. The results show that the heat transfer rate at the pipe surface is the controlling parameter which reduce significantly the temperature difference in pipe circumferential direction. The one-dimensional fin modelling analysis results are verified by comparison with the operating PWR test data. The circumferential temperatures of pipe calculated by one-dimensional fin modelling agree well with the PWR plant test data.

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검사용 로봇을 위한 원기둥형 물체의 자세 추정 방법 (Pose Estimation of a Cylindrical Object for an Inspection Robot)

  • 정규원
    • 한국공작기계학회논문집
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    • 제12권1호
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    • pp.8-15
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    • 2003
  • The cylindrical object such as a water pipe or an oil pipeline are widely used in the infrastructure. Those pipes should be inspected periodically by human or a robot. However, since there is no edge or vertex in the pipe, it is very difficult for the robot to navigate along the pipe. In this paper in order to guide the robot along the axis of the pipe, an algorithm which find the axis using the measured range data from the robot to the pipe wall is developed The algorithm is verified using both the simulated range data and the measured one.

"매설관로의 역학적 특성 및 안전도에 관한 연구" (A research on Mechanical property and safety degree of laying pipe Line)

  • 김경진
    • 기술사
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    • 제15권1호
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    • pp.7-13
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    • 1982
  • 지하통신용 케이블 보호용 관로로 사용되는 합성수지관의 안전수행문제는 점차 중요성이 인식되어지고 있어 이를 검토하기 위하여 유형별에 의한 역학적 실험을 실시하였다. 그 결과 본 연구에서는 매설 파이프가 받는 토압과 수압을 실험치와 이론치로 서로 비교하여 보았고 매설깊이 별에 의한 총압력을 계산하여 적정한 매설 보건을 추정하였으며 또한 재료 특성을 파악하여 충격효과 및 변형에 대한 두께와의 관계를 알았다.

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군속도 변화를 이용한 배관 두께 측정 (Estimation of the Pipe Thickness using the Variation of the Group Velocity)

  • 한승희;황종명;이장명
    • 로봇학회논문지
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    • 제5권1호
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    • pp.32-40
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    • 2010
  • This paper proposes the technique of estimating the pipe thickness using the measured group velocity. To measure the group velocity from the accelerometer data in the frequency domain, Wigner-Ville distribution is utilized, which interprets the waveform of the shock wave. Using this measured group velocity, this paper proposes the technique to estimate the thickness of pipes with the impact on the pipe. The group velocity is estimated by the modeling correlation between the group velocity and the thickness of the pipe based on the propagation velocities. The correlation model between thickness and group velocity has been proved through the real experiments. The measured group velocity in the frequency-domain is the maximum at the center frequency of the bending waves in the modeling of the group velocity. In addition to these, a smoothing technique for analyzing lamb wave Wigner-Ville distribution has been introduced to improve the reliability of the data acquisition.

PFC 히트파이프의 열전달 한계에 관한 연구 (A study on heat transport limitation for a perfluorocarbon heat pipe)

  • 강환국;김재진;김철주
    • 설비공학논문집
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    • 제11권3호
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    • pp.313-320
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    • 1999
  • A PFC(Perfluorocarbon) heat pipe has been used recently for cooling of GTO(gate turn off) thyristors or diodes in electric commuter trains. The present study was conducted to determine heat transport limitation of a PFC heat pipe which is one of the important parameters in heat pipes design. The variables such as tube diameter, fill charge ratio, internal surface structure and operating temperature were examined by way of experiment. Experimental data showed that the heat transport limitation of PFC heat pipe was considerably low and mostly dependent on tube diameter, with the value of 440~500W for d$o$/=22.23mm and 150~200W for d$o$=15.88mm. The other parameters had negligible effects, except for the case of small charge ratio less than 30%. Some correlations proposed by previous studies were in agreement with data from this study within 10~30%.

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지중매설 폴리에틸렌 관의 장기거동 예측 (Prediction of Long-Term behavior of polyethylene pipe buried underground)

  • 이재호;김빈;윤수현;김응호
    • 상하수도학회지
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    • 제31권1호
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    • pp.7-12
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    • 2017
  • Most of existing buried pipes are composed of reinforced concrete. Reinforced concrete pipes have many problems such as aging, corrosion, leaking, etc. The polyethylene (PE) pipes have advantages to solve these problems. The plastic pipes buried underground are classified into a flexible pipe. National standard that has limited the long-term vertical deformation of the pipe to 5% for flexible pipes including PE pipe. This study presents a prediction for the long-term behavior of the polyethylene pipe based on ASTM D 5365. This prediction method is presented to estimate by using the statistical method from the initial deflection measurement data. We predict the behavior of long-term performance on the double-wall pipe and multi-wall pipe. As a result, it was found that the PE pipe will be sound enough more than 50 years if the compaction of soil around the pipe is more than 95% of the standard soil compaction density.