• 제목/요약/키워드: Computational visualization

검색결과 333건 처리시간 0.023초

커먼레일 연료시스템에서의 DME 분무 특성에 대한 실험과 해석적 연구 (Experimental and Numerical Analysis of DME Spray Characteristics in Common-rail Fuel System)

  • 정수진;박정권;이상인;임옥택
    • 대한기계학회논문집B
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    • 제36권12호
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    • pp.1151-1159
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    • 2012
  • 본 논문에서는 노즐홀 직경을 확대하여 유량을 증가시킨 DME 인젝터의 가시화 실험과 분무 해석을 수행하였다. 해석의 신뢰성을 확보하기 위하여 가시화 실험과 분무해석을 비교하였고, 실엔진 모사 조건에서 분무 해석을 수행하여 DME의 거동을 예측하였다. 분사 압력과 분위기 압력이 각각 35MPa 및 5MPa인 경우 가시화 실험과 분무 해석의 도달거리는 3.57%의 차이를 나타내었다. 실엔진 모사 해석의 경우, 완전하게 발달된 DME의 분무 도달거리는 분위기 온도와 압력의 비가 300K/MPa에서 42mm로 최대를 나타내었고, 300K/MPa미만의 영역에서 DME의 분무는 분위기 압력, 300K/MPa초과의 영역에서는 분위기 온도의 영향이 지배적임을 확인하였다.

스크류운동을 하는 자유형상 물체의 스웹볼륨 계산을 위한 추적법의 응용 (Applying a Tracing Method to Compute Swept Volumes Generated by Free-form Objects in Screw Motions)

  • 김형규;김재정
    • 한국CDE학회논문집
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    • 제15권2호
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    • pp.106-114
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    • 2010
  • The swept volume, the region of a moving object, is applied in many fields such as valid paths for motions of tools, visualization in robot paths and interference tests for parts assembling or disjointing. The shape of a swept volume depends on an generators computed with normal vectors of an object and velocity vectors of a motion. Although free-from surfaces are widely used to represent geometric models in CAD, computing the generators for a free-form object is a formidable task. Previous approaches exploit the closed form expressions of generators but limited to planer or quadric faces. In this paper, we propose the algorithm to compute swept volumes generated by free-form objects in screw motions. For the algorithm a tracing method is applied to the computation of generators. It considers curvatures of surfaces of an object to increase the computational accuracy. We implemented our algorithm in the CATIA V.5 environment to test the validity of our algorithm and to generate examples.

Hybrid RANS/LES 방법을 이용한 이음속 공동 유동의 수치적 모사 (Hybrid RANS/LES Simulation of Subsonic Cavity Flow)

  • 장경식;박승오;최석기
    • 한국전산유체공학회지
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    • 제9권2호
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    • pp.23-29
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    • 2004
  • A numerical simulation of an incompressible cavity flow is conducted using the hybrid turbulence model. The model adopted is a modified type of DES using k- ε two-equation model. Cavity geometry and flow condition are based on Cattafesta's experiment. Computational results are compared with the results of Cattafesta's experiment. The simulation successfully predicts the oscillatory features and the Strouhal number of the oscillation compares very favorably with that of the dominant mode of experimental data. Vorticity contours obtained from the simulation data are consistent with the smoke visualization of the Cattafesta's experiment. The coherent structures of cavity flow are also investigated using Q criterion.

VNURBS기반의 다차원 불균질 볼륨 객체의 표현: 모델링 및 응용 (Volumetric NURBS Representation of Multidimensional and Heterogeneous Objects: Modeling and Applications)

  • 박상근
    • 한국CDE학회논문집
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    • 제10권5호
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    • pp.314-327
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    • 2005
  • This paper describes the volumetric data modeling and analysis methods that employ volumetric NURBS or VNURBS that represents heterogeneous objects or fields in multidimensional space. For volumetric data modeling, we formulate the construction algorithms involving the scattered data approximation and the curvilinear grid data interpolation. And then the computational algorithms are presented for the geometric and mathematical analysis of the volume data set with the VNURBS model. Finally, we apply the modeling and analysis methods to various field applications including grid generation, flow visualization, implicit surface modeling, and image morphing. Those application examples verify the usefulness and extensibility of our VNUBRS representation in the context of volume modeling and analysis.

측 추력 제어 미사일 주위의 초음속 유동현상 연구 (A Study of Supersonic Flow Around Lateral Jet Controlled Missile)

  • 민병영;이재우;변영환;현재수
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 2002년도 추계 학술대회논문집
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    • pp.28-34
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    • 2002
  • A computational study of supersonic flow around lateral jet controlled missile has been performed. For this study, three dimensional Navier-Stokes code(AADL3D) has been developed. Spalart-Allmaras one equation turbulence model has been implemented on the AADL3D code for relatively rapid computational time. For the validation of developed code, AADL3D, pressure distributions on an ogive-cylinder body has been compared with experimental data. Also, the shock structure of sonic jet on the flat plate in the supersonic flow field has been compared with experimental flow visualization result to see the analysis capability of freestream-jet interaction case. A case study has been performed through comparing the normal force coefficient and the moment coefficient of missile body for several jet flow conditions. Current results will be used to the optimum design of a lateral jet controlled missile.

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퍼지를 이용한 클라우드 기반의 소셜 네트워크 서비스 계층적 시각화 (Hierarchical Visualization of Cloud-Based Social Network Service Using Fuzzy)

  • 박선;김용일;이성로
    • 한국통신학회논문지
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    • 제38B권7호
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    • pp.501-511
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    • 2013
  • 현재 대부분의 소셜 네트워크 서비스에 대한 시각화방법들은 네트워크 자료를 시각화하여 표현하는 것에만 중점을 두고 있으며, 기하급수적으로 증가하는 소셜 네트워크의 빅데이터 처리에 대한 계산량 및 효율적인 처리속도는 전혀 고려하지 않고 있다. 본 논문은 소셜 네트워크의 사용자 노드 간의 계층 관계를 사용자 중심으로 시각화하는 클라우드 기반의 방법을 제안한다. 제안방법은 퍼지를 이용하여 소셜 네트워크 노드의 계층 관계를 표현함으로써 사용자의 사회관계를 직관적으로 이해할 수 있으며, 소셜 네트워크에서의 사용자들의 중심 역할 관계를 쉽게 파악할 수 있다. 또한 클라우드 기반의 하둡(hadoop)과 하이브(hive)를 이용하여 시각화 알고리즘을 분산병렬 처리함으로써 소셜 네트워크의 빅데이터를 신속히 처리할 수 있다.

Experimental and Computational Studies on Flow Behavior Around Counter Rotating Blades in a Double-Spindle Deck

  • Chon, Woo-Chong;Amano, Ryoichi S.
    • Journal of Mechanical Science and Technology
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    • 제18권8호
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    • pp.1401-1417
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    • 2004
  • Experimental and computational studies were performed to determine the effects of different blade designs on a flow pattern inside a double-spindle counter rotating mower deck. In the experimental study, two different blade models were tested by measuring air velocities using a forward-scatter LDV system. The velocity measurements were taken at several different azimuth and axial sections inside the deck. The measured velocity distributions clarified the air flow pattern caused by the rotating blades and demonstrated the effects of deck and blade designs. A high-speed video camera and a sound level meter were used for flow visualization and noise level measurement. In the computational works, two-dimensional blade shapes at several arbitrary radial sections have been selected for flow computations around the blade model. For three-dimensional computation applied a non-inertia coordinate system, a flow field around the entire three-dimensional blade shape is used to evaluate flow patterns in order to take radial flow interactions into account. The computational results were compared with the experimental results.

Visual Model of Pattern Design Based on Deep Convolutional Neural Network

  • Jingjing Ye;Jun Wang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제18권2호
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    • pp.311-326
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    • 2024
  • The rapid development of neural network technology promotes the neural network model driven by big data to overcome the texture effect of complex objects. Due to the limitations in complex scenes, it is necessary to establish custom template matching and apply it to the research of many fields of computational vision technology. The dependence on high-quality small label sample database data is not very strong, and the machine learning system of deep feature connection to complete the task of texture effect inference and speculation is relatively poor. The style transfer algorithm based on neural network collects and preserves the data of patterns, extracts and modernizes their features. Through the algorithm model, it is easier to present the texture color of patterns and display them digitally. In this paper, according to the texture effect reasoning of custom template matching, the 3D visualization of the target is transformed into a 3D model. The high similarity between the scene to be inferred and the user-defined template is calculated by the user-defined template of the multi-dimensional external feature label. The convolutional neural network is adopted to optimize the external area of the object to improve the sampling quality and computational performance of the sample pyramid structure. The results indicate that the proposed algorithm can accurately capture the significant target, achieve more ablation noise, and improve the visualization results. The proposed deep convolutional neural network optimization algorithm has good rapidity, data accuracy and robustness. The proposed algorithm can adapt to the calculation of more task scenes, display the redundant vision-related information of image conversion, enhance the powerful computing power, and further improve the computational efficiency and accuracy of convolutional networks, which has a high research significance for the study of image information conversion.

Experimental and Computational Investigation of Aerodynamic Characteristics of Hovering Coleoptera

  • Saputra, Saputra;Byun, Do-Young;Yoo, Yong-Hoon;Park, Hoon-Choel;Byun, Yong-Hwan
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2007년도 춘계학술대회A
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    • pp.384-388
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    • 2007
  • Aerodynamic characteristics of Coleoptera species of Epilachna quadricollis and Allomyrina dichotoma are experimentally and numerically investigated. Using digital high speed camera and smoke wire technique, we visualized the continuous wing kinematics and the flight motion of free-flying coleoptera. The experimental visualization shows that the elytra flapped concurrently with the main wing both in the downstroke and upstroke motions. The wing motion of Epilachna quadricollis was captured and analyzed frame by frame to identify the kinematics of the wings and to implement it in the movement of a model wing (thin plate) in the simulation. The two-dimensional simulation of Epilachna quadricollis hovering flight was performed by assuming the wing cross section shape as a thin plate, even though most of insect's wings are made of curved corrugated membrane. The effect of Reynolds number are investigated by the simulation. Meanwhile, in order to investigate the role and effect of elytra, the flow visualization of Allomyrina dichotoma was carried on using smoke wire visualization technique. Here, we confirmed that the vortex generated by elytra due to its movement is strongly influence the vortex dynamic generated by hind wings.

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Visualization of Relative Flow Patterns in Centrifugal Blood Pump

  • Chan, Weng-Kong;S.C.M Yu;L.P. Chua;Y.W. Wong
    • Journal of Mechanical Science and Technology
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    • 제15권12호
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    • pp.1869-1875
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    • 2001
  • The paper presents computational and flow visualization results on a centrifugal blood pump. 4 impeller designs were tested at a rotational speed of 2000 rpm using blood analog as working fluid. All impellers have seven blades but of different geometry (Impellers A3, A4, B2 and R7). Flow visualization within the impeller passages was conducted using an image de-rotation system. A pair of large scale vortices was found within the blades of impeller R7 while a single vortex was found in most of the passages of backward facing impellers (Impellers A3, A4 and B2). To establish the effects of blade geometry on blood cells, CFD was used to simulate the blade to blade flow to provide an estimate of the maximum shear stress. The results showed that though most of the stresses within the blade passages are below a threshold level of 150 N/m$^2$for extensive erythrocyte damage to occur, there are some regions near to the leading edge of the pressure side where the shear stresses a abode threshold level.

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