• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.339-341
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• 2024

본 논문에서는 전기 자동차 배터리 팩 설계에서 성능 예측을 위해 전산유체해석 및 Long Short-Term Memory (LSTM)를 활용한다. 두 계산 모두의 예측이 상당한 유사성을 나타내며, 전산유체해석은 시스템 유체 역학을 고려한 상세한 물리 모델을 제공하고, LSTM은 시계열 데이터를 기반으로 한 딥러닝 모델로 효과적으로 패턴을 파악, 향후 온도 상승을 예측한다. 결과는 두 접근 모두가 효과적인 예측을 제공하며 향후 전기 자동차 배터리 팩 설계 및 최적화에서 종합적인 접근의 필요성을 강조한다. 특히, LSTM 기반 예측에 소요되는 시간은 계산 유체 역학의 약 25%로, 약 일주일 정도로 빠르게 확인 가능하다. 이는 현대 산업 환경에서 시간적 효율성이 중요한 측면을 강조하며, 계산 유체 역학의 상세한 물리 모델링과 LSTM의 빠른 예측 속도를 결합한 설계 방법론을 제안한다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.31 no.5
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• pp.37-43
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• 2003

Parallel computing method is widely used in the computational fluid dynamics for efficient numerical analysis. Nowadays, low cost Linux cluster computers substitute for traditional supercomputers with parallel computing shcemes. The performance of nemerical solvers on an Linux cluster computer is highly dependent not on the performance of processors but on the performance of network devices in the cluster system. In this paper, we investigated the effects of the network devices such as Myrinet2000, gigabit ethernet, and fast ethernet on the performance of the cluster system by using some benchmark programs such as Netpipe, LINPACK, NAS NPB, and MPINS2D Navier-Stokes solvers. Finally, upon this investigation, we will suggest the method for building high performance low cost Linux cluster system in the computational fluid dynamics analysis.

• 한국전산유체공학회:학술대회논문집
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• 2002.05a
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• pp.121-127
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• 2002

The transient flow fields in direct injection engine was analyzed by using the STAR-CD CFD code during the intake/compression processes. The grids are generated by using the IC3M. The CFD results were compared with experimental data. The results showed that the used techniques were well suited for the flow analyses on any internal combustion engines.

• Aerospace Engineering and Technology
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• v.13 no.2
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• pp.150-159
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• 2014

This study provides a brief introduction to application of the computational fluid dynamics to domestic development of combustion devices for liquid-propellant rocket engines. Multi-dimensional flow analysis can provide information on the flow uniformity and pressure loss inside the propellent manifold, from which the design selection can be performed during the conceptual design phase. Multi-disciplinary performance analysis of the thurst chamber can also provide key information on performance-related design issues such as fuel film cooling and thermal barrier coating conditions. Further efforts should be made to develop numerical models to resolve the mixing and combustion characteristics of LOX/kerosene near the injection face plate.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.1
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• pp.14-20
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• 2014

This study, the reliability of weapon systems acquisition and research and development in order to increase the effect of the modeling and simulation method has been studied using computational fluid dynamics. Weapon system acquisition, Test & Evaluation for use in the modeling and simulation can reduce the reliability of the time and cost savings and possible predictions and verification, and can provide useful data. However, the current weapon system acquisition and active use of modeling and simulation and verification do not even use the software are restricted. In this study, using computational fluid dynamics (CFD) modeling and simulation using the GAMBIT and FLUENT modeling and simulation was performed. The result is better than previous research results were confirmed in future weapon systems acquisition and research and development are expected to be actively used.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.2 no.1
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• pp.43-51
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• 2001

Metacomputing system is the environment, which helps the users easily and promptly deal with their jobs. with integration of the distributed computing resources and visualization device. In this research, we have developed a prototype of a special-purpose metacomputing system for simulation in CFD(Computational Fluid Dynamics) field. This system supports the automatic remote compilation, transparent data distribution, the selection of appropriate computing resource, and the realtime visualization. This research can be summarized as following: a study on selecting resource and the integration of component systems. In the research of selecting computing resource, we use the property of CFD algorithm. In the research of realtime visualization. we modify a popular visualizer.

• 한국전산유체공학회:학술대회논문집
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• 2009.04a
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• pp.9-18
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• 2009

This paper presents the state of the art of computational structures technology(CST) and comparison of two computational mechanics - CST and CFD, to the CFD engineers. Classical mechanics is based on the five classical axioms which describe the motion and behaviors of the continuum materials like solid structures and fluids. Computational structures technology uses the finite element method to solve the governing equation, whereas finite volume method is generally used in CFD. A few famous commercial structural analysis programs and DIAMOND/IPSAP will be introduced. DIAMOND/IPSAP is the efficient parallel structural analysis package developed by our research team. DIAMOND/IPSAP shows the better performance than the commercial structural analysis software not only in the parallel computing environments but also in a single computer.

• Proceeding of EDISON Challenge
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• 2015.03a
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• pp.606-611
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• 2015

초기 화재 진압을 위해 사용되는 스프링클러(sprinkler) 설비는 스프링클러헤드의 형태에 따라 살수 분포가 달라진다. 화점의 발생 위치는 특정하기 어려우므로 스프링클러의 살수범위(spray coverage)가 넓게 퍼지는 형태가 되는 것이 확률적으로 가장 큰 효율성을 가진다. 본 연구에서는 EDISON_전산열유체 시스템의 다상유동 해석자를 활용하여 스프링클러헤드의 형태에 따라 살수각과 국부 유동장을 분석하였다. 3차원 형상을 가지는 스프링클러헤드 형상을 2차원 단면으로 나누어 해석하였으며 프레임(frame)과 반사판(deflector)의 형상에 따른 유동장의 변화를 살펴보았고 살수각(spray angle)을 정량적으로 나타내었다. 최종적으로 최대 최소의 살수각을 갖는 2차원 스프링클러헤드를 형상화하였고 이를 중첩하여 살수 범위를 넓게 갖는 스프링클러헤드를 3차원 모델링하였다.

• Proceedings of KOSOMES biannual meeting
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• 2017.04a
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• pp.246-246
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• 2017

• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.1
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• pp.119-125
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• 2018

The particle based computational fluid dynamics (CFD) method, which follow Lagrangian approach for fluid dynamics, fluid particle behavior by tracking all particle calculation physical quantities of each particle. According to basic concept of particle based CFD method, it is difficult to satisfy continuum theory and measure influences from neighboring particle. Article number density and weight function were used to solve aforementioned issue. Difficulties continuum mean simulate non-continuum particles such as solid including granular and sand. In this regard, the particle based CFD method modified solid particle problems by replacing viscous and surface tension forces friction and drag forces. In this paper, particle interaction model for solid particle friction model implemented to simulate solid particle problems. The broken dam problem, which is common to verify particle based CFD method, used fluid or solid particles. The angle of repose was observed in the simulation results the solid particle not fluid particle.