• 제목/요약/키워드: CFD(Computational Fluid Dynamics

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고분자전해질 연료전지의 환원극 블록과 공기 유량 영향에 대한 전산 해석 연구 (A Numerical Study of Cathode Block and Air Flow Rate Effect on PEMFC Performance)

  • 조성훈;김준범
    • 공업화학
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    • 제33권1호
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    • pp.96-102
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    • 2022
  • 고분자전해질막 연료전지의 반응물인 수소와 산소는 기체 상태이므로, 반응물이 원활히 전달될수록 작동 전압의 손실을 줄일 수 있다. 높은 전류밀도 영역에서 산소 물질 전달이 전압 손실을 좌우하므로, 환원극 유로의 형상 변경에 대한 연구들이 진행되어 왔다. 환원극 유로 형상 중에서 유로를 막는 블록은 반응물을 다공성 매질인 기체확산층으로 강제 대류 하도록 사용되었다. 본 연구에서는 간단한 단 채널의 연료전지 모델에 블록을 배치하였다. 전산 유체역학을 사용하였고, 공기 공급 유량을 달리하였을 때 블록으로 인한 강제 대류 효과가 전압-전류 곡선과 국부 전류 밀도에 대한 영향을 연구하였다. 기체확산층으로의 강제 대류 현상을 통하여 적은 공기 공급 유량으로도 높은 전류 밀도를 얻을 수 있었다. 다수의 블록을 직렬로 배치한 경우에 1개의 블록만 배치한 것보다 강제 대류 효과를 증가시켜 높은 전류밀도를 얻을 수 있었다.

손상 선박 기름 유출량 추정을 위한 수치해석과 이론식의 비교 연구 (A Comparative Study of Numerical and Theoretical Predictions of Oil Outflows from Damaged Ships)

  • 문요섭;김제인;박일룡;서성부;이승국;최혁진;홍사영
    • 대한조선학회논문집
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    • 제59권6호
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    • pp.400-412
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    • 2022
  • This paper provides the results of numerical and theoretical predictions of oil outflows from damaged single-hull and double-hull ships.Theoretical equations derived from the unsteady Bernoulli equation and a CFD method for multi-phase flow analysis were used to estimate the oil outflow rate from cargo tank. The predicted oil outflow rate from a single-hull cargo tank damaged due to grounding and collision accidents showed a good agreement with the available experimental results in both numerical and theoretical analyses. However, in the case of the double-hull conditions, the time variation of the amount of water and oil mixture inside the ballast tank predicted by the theoretical equation showed some different behavior from the numerical results. The reason was that the interaction of the oil flow with the water inflow in the ballast tank was not reflected in the theoretical equations. In the problems of the initial pressure condition in the cargo and ballast tanks, the oil outflow and water inflow were delayed at the pressure condition that the tanks were sealed. When the flow interaction between the oil and water in the ballast tank was less complicated, the theoretical and the numerical results showed a good agreement with each other.

항공기용 엔진제어기의 진공 브레이징 냉각유로 설계 및 압력손실 평가 (Design and Pressure Loss Evaluation of Vacuum Brazed Cooling Passage for Full Authority Digital Engine Control)

  • 한명재;설진운;정승호;차민경;장호연;김중회
    • 한국추진공학회지
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    • 제26권2호
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    • pp.72-78
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    • 2022
  • 항공기용 엔진제어기는 주어진 환경에서 엔진의 최대 효율로 안전하게 운영될 수 있도록 엔진의 추력을 조절하고, 다른 보기 시스템들의 상태 감시를 수행하여 엔진의 모든 권한을 전자식으로 통합 제어하는 장치이다. 엔진제어기는 매우 높은 온도 환경에서도 정상 작동해야 한다. 따라서 엔진제어기는 내부 발열과 외부 유입 열을 고려한 최적의 방열설계가 필수적이다. 본 논문에서는 엔진제어기의 진공 브레이징 냉각유로를 설계하였다. 냉각유로의 전체 압력손실을 계산하기 위해 기본 형상에 대한 주손실과 입출구의 급격 확대/축소부, 유로 선회를 위한 밴드부 등의 비선형 형상에 대한 부차적손실을 계산하였다. 압력손실 이론식과 전산유체역학(Computational Fluid Dynamics, CFD) 해석을 활용한 합성추정법을 소개하여 각 비선형 형상에 대한 손실계수 계산하였다.

최적 트림 조건하에서 벌브개조를 통한 선박저항성능 개선 연구 (Numerical Simulation for Improvement in Resistance Performance by Bulb Retrofit under Optimal Trim Conditions)

  • 박현석;서대원
    • 해양환경안전학회지
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    • 제28권6호
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    • pp.1070-1077
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    • 2022
  • 최근 국제해사기구의 해양환경오염규제가 강화되어 오고 있다. 선박의 에너지 효율지수는 선박의 설계관점에서 매우 중요한 지표이다. 더욱이 새롭게 건조되는 선박은 물론 기존 운항 선박에도 에너지 효율지수를 만족하도록 강화하고 있다. 이에 따라 운항되고 있는 기존선박의 에너지 효율지수를 높이기 위해 선수 벌브개조, 운항 중 트림 최적화, 에너지 절감장치등 다양한 방법이 적용되고 있다. 본 연구에서는 전산 유체역학을 이용하여 다양한 선수/선미 트림조건에서 선박의 저항성능을 계산하고 분석하였다. 이를 바탕으로 최적화 된 트림조건에서 선박의 저항성능을 더욱 개선하기 위해 선수 벌브의 형상을 재설계하였다. 그 결과 정수 중에서 개선된 벌브 형상을 적용한 경우, 유효마력이 약 5% 향상되는 것을 확인하였으며, 향후 파도 중에서 재설계된 벌브형상이 저항성능에 미치는 영향을 조사할 예정이다.

수소 안전밸브용 역화방지기의 성능 평가에 대한 수치해석 연구 (A Numerical Study on the Flame Arrestor for Safety Valve of Hydrogen)

  • 오승준;윤정환;김시범;최정주
    • 한국수소및신에너지학회논문집
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    • 제33권4호
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    • pp.391-399
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    • 2022
  • Hydrogen is one of the energy carriers and has high energy efficiency relative to mass. It is an eco-friendly fuel that makes only water (H2O) as a by-product after use. In order to use hydrogen conveniently and safely, development of production, storage and transfer technologies is required and attempts are being made to apply hydrogen as an energy source in various fields through the development of the technology. For transporting and storing hydrogen include high-pressure hydrogen gas storage, a type of storage technologies consist of cryogenic hydrogen liquid storage, hydrogen storage alloy, chemical storage by adsorbents and high-pressure hydrogen storage containers have been developed in a total of four stages. The biggest issue in charging high-pressure hydrogen gas which is a combustible gas is safety and the backfire prevention device is that prevents external flames from entering the tank and prevents explosion and is essential to use hydrogen safely. This study conducted a numerical analysis to analyze the performance of suppressing flame propagation of 2, 3 inch flame arrestor. As a result, it is determined that, where the flame arrestor is attached, the temperature would be lowered below the temperature of spontaneous combustion of hydrogen to suppress flame propagation.

실기체급 비행체 모델에 대한 M4 준자유류 시험 (M4 Semi-Freejet Test with Full-scale Vehicle Model)

  • 배주현;임창원;최호진;진상욱;김정우
    • 한국추진공학회지
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    • 제26권5호
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    • pp.63-73
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    • 2022
  • 국내 설비를 활용하여 실기체급 비행체 모델에 대한 M4 준자유류 시험을 수행하였다. 시험장치 및 비행체 모델은 반복적인 전산유체해석을 통해 통합적으로 설계/제작되었고, 해당 설비를 목표 시험 조건까지 가동하여 시험장치의 M4 노즐이 완전히 팽창하는 것을 확인하였다. 비행체 모델의 흡입구 주변의 가시화 영상을 획득하여 경사충격파가 생성되면서 비행체의 흡입구가 시동하는 것을 관측하였다. 비행체의 가변노즐을 구동하여 배압을 조절하면서 비행체 내부 유로의 벽면 압력 분포를 획득하였고, 연소기 내 화염안정화장치에서 점화용 토치 점화 및 점화보조제의 연소 현상을 관측하였다.

인젝터 설계변수 및 분사조건에 따른 분무타겟팅 지점의 측정 및 예측 (Measurement and Prediction of Spray Targeting Points according to Injector Parameter and Injection Condition)

  • ;;박수한
    • 한국분무공학회지
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    • 제28권1호
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    • pp.1-9
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    • 2023
  • In the cylinder of gasoline direct injection engines, the spray targeting from injectors is of great significance for fuel consumption and pollutant emissions. The automotive industry is putting a lot of effort into improving injector targeting accuracy. To improve the targeting accuracy of injectors, it is necessary to develop models that can predict the spray targeting positions. When developing spray targeting models, the most used technique is computational fluid dynamics (CFD). Recently, due to the superiority of machine learning in prediction accuracy, the application of machine learning in this field is also receiving constant attention. The purpose of this study is to build a machine learning model that can accurately predict spray targeting based on the design parameters of injectors. To achieve this goal, this study firstly used laser sheet beam visualization equipment to obtain many spray cross-sectional images of injectors with different parameters at different injection pressures and measurement planes. The spray images were processed by MATLAB code to get the targeting coordinates of sprays. A total of four models were used for the prediction of spray targeting coordinates, namely ANN, LSTM, Conv1D and Conv1D & LSTM. Features fed into the machine learning model include injector design parameters, injection conditions, and measurement planes. Labels to be output from the model are spray targeting coordinates. In addition, the spray data of 7 injectors were used for model training, and the spray data of the remaining one injector were used for model performance verification. Finally, the prediction performance of the model was evaluated by R2 and RMSE. It is found that the Conv1D&LSTM model has the highest accuracy in predicting the spray targeting coordinates, which can reach 98%. In addition, the prediction bias of the model becomes larger as the distance from the injector tip increases.

선미 부가물 수정에 따른 프로펠러 캐비테이션 성능 향상 연구 (Study of the Propeller Cavitation Performance Improvement Through the Stern Appendage Modification)

  • 안종우;박영하;김건도;백부근;설한신;박일룡
    • 대한조선학회논문집
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    • 제60권1호
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    • pp.1-9
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    • 2023
  • In order to improve the propeller cavitation performance composed of Cavitation Inception Speed (CIS), cavitation extent and pressure fluctuation, it needs to improve the wake distribution that flows into the propeller. The warship propeller cavitation is strongly influenced by the wake created at the V-strut of various appendages. The inflow characteristics of the V-strut were investigated using Computational Fluid Dynamics (CFD) and the twisted angles of the V-strut were aligned with upstream flow. The resistance and self-propulsion tests for the model ship with the existing and modified V-struts were conducted in Towing Tank (TT), and wake distribution, CIS, cavitation observation and pressure fluctuation tests were conducted in Large Cavitation Tunnel (LCT). The propeller behind the modified V-strut showed better cavitation characteristics than that behind the existing V-strut. Another model test was conducted to investigate rudder cavitation performance by the change of the V-strut. The rudder cavitation characteristics were not improved by the change of the operating conditions. On the basis of the present study, it is thought that the stern appendages for better propeller cavitation performance would be developed.

Sealing design optimization of nuclear pressure relief valves based on the polynomial chaos expansion surrogate model

  • Chaoyong Zong;Maolin Shi;Qingye Li;Tianhang Xue;Xueguan Song;Xiaofeng Li;Dianjing Chen
    • Nuclear Engineering and Technology
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    • 제55권4호
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    • pp.1382-1399
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    • 2023
  • Pressure relief valve (PRV) is one of the important control valves used in nuclear power plants, and its sealing performance is crucial to ensure the safety and function of the entire pressure system. For the sealing performance improving purpose, an explicit function that accounts for all design parameters and can accurately describe the relationship between the multi-design parameters and the seal performance is essential, which is also the challenge of the valve seal design and/or optimization work. On this basis, a surrogate model-based design optimization is carried out in this paper. To obtain the basic data required by the surrogate model, both the Finite Element Model (FEM) and the Computational Fluid Dynamics (CFD) based numerical models were successively established, and thereby both the contact stresses of valve static sealing and dynamic impact (between valve disk and nozzle) could be predicted. With these basic data, the polynomial chaos expansion (PCE) surrogate model which can not only be used for inputs-outputs relationship construction, but also produce the sensitivity of different design parameters were developed. Based on the PCE surrogate model, a new design scheme was obtained after optimization, in which the valve sealing stress is increased by 24.42% while keeping the maximum impact stress lower than 90% of the material allowable stress. The result confirms the ability and feasibility of the method proposed in this paper, and should also be suitable for performance design optimizations of control valves with similar structures.

Developing a BIM-Based Methodology Framework for Sustainability Analysis of Low Carbon High-Rise Buildings

  • Gan, Vincent J.L.;Li, Nan;Tse, K.T.;Chan, C.M.;Lo, Irene M.C.;Cheng, Jack C.P.
    • 국제학술발표논문집
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    • The 7th International Conference on Construction Engineering and Project Management Summit Forum on Sustainable Construction and Management
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    • pp.14-23
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    • 2017
  • In high-density high-rise cities such as Hong Kong, buildings account for nearly 90% of energy consumption and 61% of carbon emissions. Therefore, it is important to study the design of buildings, especially high-rise buildings, to achieve lower carbon emissions in the city. The carbon emissions of a building consist of embodied carbon from the production of construction materials and operational carbon from energy consumption during daily operation (e.g., air-conditioning and lighting). An integrated analysis of both types of carbon emissions can strengthen the design of low carbon buildings, but most of the previous studies concentrated mainly on either embodied or operational carbon. Therefore, the primary objective of this study is to develop a holistic methodology framework considering both embodied and operational carbon, in order to enhance the sustainable design of low carbon high-rise buildings. The framework will be based on the building information modeling (BIM) technology because BIM can be integrated with simulation systems and digital models of different disciplines, thereby enabling a holistic design and assessment of low carbon buildings. Structural analysis program is first coupled with BIM to validate the structural performance of a building design. The amounts of construction materials and embodied carbon are then quantified by a BIM-based program using the Dynamo programming interface. Operational carbon is quantified by energy simulation software based on the green building extensible Markup Language (gbXML) file from BIM. Computational fluid dynamics (CFD) will be applied to analyze the ambient wind effect on indoor temperature and operational carbon. The BIM-based framework serves as a decision support tool to compare and explore more environmentally-sustainable design options to help reduce the carbon emissions in buildings.

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