• Journal of the korean Society of Automotive Engineers
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• v.15 no.2
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• pp.105-111
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• 1993

내연기관의 혼합 가스 생성 장치로 흡입되는 공기의 유량을 조절하기 위해 Butterfly 밸브가 사용 된다. 이 밸브는 유량의 제어에는 매우 유용한 반면, 밸브 후면에서의 복잡한 공기의 유동현상[6] 으로 인하여 혼합가스의 생성에 장해적인 요소를 제공하기도 한다. 특히 밸브가 많이 닫힌 상태 에서는 밸브와 관로벽 사이의 간격이 좁아지는 Throttling 현상으로 인하여, 엔진에 고 부하시 흡 입되는 공기의 양이 증가하게 되어, 밸브 주위에서 공기 속도의 급증으로 인하여 유동장의 압축 성 현상을 기대할 수 있다. Throttle의 Choking 현상으로 인하여 공기의 입자는 운동에너지를 잃 게 되고, 궁극적 혼합가스의 생성에 영향을 미쳐 엔진성능의 저하를 초래하게 된다. 본 연구에서 는 실제 엔진(Central Fuel Injection Engine, 5 liters) [1]의 흡인 manifold를 modelling하여, 특히 밸브가 많이 닫힌 상태에서, 밸브 주위에서의 난류 유동의 압축성 현상을 정량적으로 분석해 보았다.

• Journal of the korean Society of Automotive Engineers
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• v.14 no.1
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• pp.47-53
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• 1992

대도시의 자동차 배기가스에 의한 대기오염문제는 날로 심화되어 가고 있으며, 그 규제 역시 매 우 엄격해지고 있다. 배기가스의 문제는 연소실내에서의 고효율연소에 의해 개선될 수 있으며, 이 를 위해서는 혼합가스 생성장치에서의 잘 미립화된 혼합가스의 생성에 관한 미시적 연구가 필수 적이다. 본 연구에서는 범용 유체 유동해석, 프로그램을 이용하여 Butterfly밸브 주위에서의 공기 의 흐름현상을 예측하였으며, 밸브의 손실계수(Kv)를 실험치와 비교하여 보았다. 또한 압축성과 비압축성 유체 유동해석의 비교, Residual Mass(R. M)의 최적치 정의에 의한 CPU 시간의 최소 화, Numerical Grid Size의 해석결과에 미치는 영향 등에 관해 알아보았다.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2006.04a
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• pp.575-580
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• 2006

Air-operated valves are extensively used for process control and system isolation functions in nuclear power plant, where the safety is primary issue. The purpose of this study is to develop structural analysis code of various air-operated valves such as globe valve, gate valve, and butterfly valve. The thrust formula is derived for valve with the expected weak areas. The expected weak areas are referred from EPRI data. The structural stress analysis is carried out by analytical and commercial FEM code, ANSYS 8.0. The numerical results are compared together and verified on program procedures.

• The KSFM Journal of Fluid Machinery
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• v.14 no.6
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• pp.11-17
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• 2011

The cause of waterhammer phenomenon due to valve closing which is installed on pipeline is clarified in this study. Also if waterhammer phenomenon occurs on simple pipeline, expensive facilities like pressure relief valve is adapted to protect pipeline from waterhammer so far. But this study shows that waterhammer phenomenon can be suppressed by just simple modification of valve control sequence, and this technique is verified by simulation and site experiment.

• Journal of Korean Society of Water and Wastewater
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• v.37 no.4
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• pp.215-229
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• 2023

In this study, non-destructive technologies that can be applied to evaluate the integrity of valve materials, safety against internal pressure caused by corrosion, and the blocking function of large-diameter water valves during operation without requiring specimen collection or manpower entering the inside of the valve were tested to assess the reliability of the technologies and their suitability for field application. The results showed that the condition of the graphite structure inside the valve body can be evaluated directly through the optical microscope in the field without specimen collection for large-diameter water butterfly valves, and the depth of corrosion inside the valve body can be determined by array ultrasound and the tensile strength can be measured by instrumented indentation test. The reliability of each of these non-destructive techniques is high, and they can be widely used to evaluate the condition of steel or cast iron pipes that are significantly smaller in thickness than valves. Evaluation of blocking function of the valves with mixed gas showed that it can be detected even when a very low flow rate of mixed gas passes through the disk along with the water flow. Finally, as a result of evaluating the field applicability of non-destructive technologies for three old butterfly valves installed in the US industrial water pipeline, it was found that it is possible to check the material and determine the suitability of large-diameter water valves without taking samples, and to determine the corrosion state and mechanical strength. In addition, it was possible to evaluate safety through the measurement results, and it is judged that the evaluation of the blocking function using mixed gas will help strengthen preventive response in the event of an accident.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.34 no.12
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• pp.1917-1923
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• 2010

This study focuses on model identification and a 2-DOF PID control algorithm for cooling processes; a pneumatic butterfly-type control valve is used for this purpose. The mathematical model is a transfer function composed of a time delay and a second-order delay system. The control valve is identified as a first-order delay system with a time delay and included in the controlled plant. From the experimental data sets for a demo plant, the model parameters are identified, and the 2-DOF PID control gains are analytically derived by Kitamori's method. We show via a computer simulation and an experimental test that the performance of the proposed 2-DOF PID control system is better than that of a conventional 1-DOF PID control system.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.1315-1321
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• 2005

Using hyper-elastic material has been increased gradually and its range was extended all over the industrial. In addition, the performance prediction of this material was required not only experimental methods like metal material but also numerical methods. In this study, we presented the process how to use numerical method for hyper-elastic material and then, it was applied for seat-ring of butterfly valve by using this process. The finite element analysis was executed to evaluate the mechanical characteristics of hyper-elastic material and search the optimum model considered conditions and features. According to that model the coefficient was obtained by using Contact analysis.

• Proceedings of the Korean Society of Marine Engineers Conference
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• 2006.06a
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• pp.17-18
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• 2006

최근 중동지방의 정세 불안과 원유 자원의 고갈로 인한 대체 지역으로 러시아 시베리아 유전이 각광을 받고 있임. 시베리아 유전 원유 수송이 파이프라인을 통해 발틱 연안에 위치한 프리모스크항 도달하여 해상을 통한 원유 수출이 증가함에 따라 ICE Class 대형 Tanker의 수요가 급격히 증가하고 있는 실정.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.387-392
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• 2020

This paper proposes a flow-rate control system for industrial valves. Industrial valves are used in piping systems to control the flow rate and pressure. In general, valves used in pipelines are classified into globe valves, butterfly valves, and ball valves according to the shape. Motor, hydraulic, and pneumatic systems are used for operating valves. The flow meter should measure the flow rate when configuring the flow-rate control system. On the other hand, because the flow rate of the valve can be expressed by flow coefficient, a control scheme is proposed using the pressure deviation, which measures at the front and rear of the valve. The transfer function for the valve, according to the control input, was estimated using the signal compression method. Based on the induced transfer function, the disturbance observer was designed to improve the command following the performance of the valve stem. The performance of the proposed control method is compared with the flow-rate control result using the flow meter used.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.1
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• pp.184-192
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• 2022

Valve internal leakage is caused by damage to the internal parts of the valve, resulting in accidents and shutdowns of the piping system. This study investigated the possibility of a real-time leak detection method using the acoustic emission (AE) signal generated from the piping system during the internal leakage of a butterfly valve. Datasets of raw time-domain AE signals were collected and postprocessed for each operation mode of the valve in a systematic manner to develop a data-driven model for the detection and classification of internal leakage, by applying machine learning algorithms. The aim of this study was to determine whether it is possible to treat leak detection as a classification problem by applying two classification algorithms: support vector machine (SVM) and convolutional neural network (CNN). The results showed different performances for the algorithms and datasets used. The SVM-based binary classification models, based on feature extraction of data, achieved an overall accuracy of 83% to 90%, while in the case of a multiple classification model, the accuracy was reduced to 66%. By contrast, the CNN-based classification model achieved an accuracy of 99.85%, which is superior to those of any other models based on the SVM algorithm. The results revealed that the SVM classification model requires effective feature extraction of the AE signals to improve the accuracy of multi-class classification. Moreover, the CNN-based classification can be a promising approach to detect both leakage and valve opening as long as the performance of the processor does not degrade.