• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2006년도 PARALLEL CFD 2006
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• pp.391-392
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• 2006

• 한국산학기술학회논문지
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• 제18권12호
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• pp.9-16
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• 2017

본 논문에서는 풍력 발전기 블레이드 공력 설계 프로세스를 정립하고, 최적화 설계 전략을 제시 하였으며, 공력 설계 진행시에 반드시 검토 필요한 제약 조건들에 대해서 정리 하였다. 이를 토대로 하여 연구 목적뿐 아니라, 블레이드 설계자가 실제 업무에 쉽게 적용 가능하고, 초기 개념설계 단계부터 최종 3차원 형상 상세 설계 단계까지 통합적으로 수행이 가능한 BEMT 기반의 공력 설계 프로그램을 개발하였다. 개발된 프로그램 AeroDA는 개념 설계 모듈, 기본 설계 모듈, 최적 TSR 도출 모듈, 국부 형상 최적화 모듈, 성능 해석 모듈, 설계 검증 모듈 및 3차원 형상생성 모듈로 구성이 된다. 개발된 프로그램을 활용하여 NREL에서 공개 배포한 5MW 블레이드를 기반으로하여 하중저감을 위한 개선 설계를 진행하여 본 프로그램이 최적화 설계에 유용하게 사용 가능함을 확인 하였다. 또한 10kW 블레이드 공력 설계 및 터빈 상세 성능 해석을 진행하고, 이를 상용 전문 프로그램 DNV GL Bladed 결과와 비교하여 정확도를 검증하였다.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2001년도 춘계학술대회논문집E
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• pp.373-379
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• 2001

When a train runs into a tunnel at high-speed, aerodynamic drag suddenly increases and the booming noise is generated at the exit of tunnel. The noise shape is very important to reduce the aerodynamic drag in tunnel as well as on open ground, and the micro-pressure wave that is a source of booming noise is dependent on nose shape, especially on area distribution. In this study, the nose shape has been optimized employing the response surface methodology and the axi-symmetric compressible Navier-Stokes equations. The optimal designs have been executed imposing various conditions of the aerodynamic drag and the micro-pressure wave on object functions. The results show that the multi-objective design was successful to decrease micro-pressure wave and aerodynamic drag of trains.

• 한국항공우주학회지
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• 제38권11호
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• pp.1049-1059
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• 2010

본 연구는 헬리콥터 블레이드 플랜폼의 공력최적 설계를 다루었다. 블레이드 3차원 공력형상 설계단계에서 결정해야하는 주요 설계 요소를 정의하고 B$\acute{e}$zier 곡선 등을 이용하여 매개변수화 하였다. 매개변수화와 설계 구속조건은 경험적 요소와 노하우를 반영하여 산업체나 연구소 등에서 사용하고 있는 설계기법을 활용하여 정의하였다. 호버링 FM과 전진비행 등가 양항비를 최적설계 문제의 목적함수로 반영하였다. 유도된 비선형 최적화 문제는 SQP기법으로 풀이하였으며 응용연구를 통해 본 연구의 기법으로 블레이드의 익형배치, 비틀림 및 시위분포 등 중요한 플랜폼 형상을 효과적으로 설계할 수 있음을 보였다.

• 한국유체기계학회 논문집
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• 제15권6호
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• pp.77-84
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• 2012

The aerodynamic performance of a single-stage transonic axial compressor was experimentally evaluated by measuring pressure and temperature distribution at the inlet and outlet of the compressor. The compressor was developed by Korea Aerospace Research Institute through multidisciplinary design optimization (MDO) method, especially integrating aerodynamic performance and structural stability. The test results show that the pressure ratio is 1.65 and the efficiency is 85.8 % at design point, where the corrected speed is 22,000 rpm and the corrected mass flow rate is 15.4 kg/s, and it has a good agreement with the design target and computational results. The distribution of pressure ratio is very steep at design speed, compared with the trend of other subsonic compressors. Also the static pressure distribution on the stator casing shows that the blade loading is gradually increasing through the stage as designed.

• Wind and Structures
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• 제34권3호
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• pp.259-274
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• 2022

The present paper is focused on analyzing a set of Computational Fluid Dynamics (CFD) simulation data on reducing orthogonal peak base moment coefficients on a high-rise rectangular building with wings. The study adopts an aerodynamic optimization procedure (AOP) composed of CFD, artificial neural network (ANN), and genetic algorithm (G.A.). A parametric study is primarily accomplished by altering the wing positions with 3D transient CFD analysis using k - ε turbulence models. The CFD technique is validated by taking up a wind tunnel test. The required design parameters are obtained at each design point and used for training ANN. The trained ANN models are used as surrogates to conduct optimization studies using G.A. Two single-objective optimizations are performed to minimize the peak base moment coefficients in the individual directions. An additional multiobjective optimization is implemented with the motivation of diminishing the two orthogonal peak base moments concurrently. Pareto-optimal solutions specifying the preferred building shapes are offered.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2004년도 추계 학술대회논문집
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• pp.181-186
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• 2004

In gradient based optimization methods, the finite differencing which uses small perturbations in the design variables has been used to calculate the sensitivity. Recently, the automatic differentiation has been widely studied to calculate the function value and the sensitivities simultaneously. In this paper, the applicability of the automatic differentiation In the aerodynamic design optimization is studied. ADIFOR and TAPENADE are used to generate the codes which give the function value and the sensitivities for 2D compressible inviscid flows.

• 한국철도학회논문집
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• 제18권4호
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• pp.279-288
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• 2015

다양한 3차원 전두부 형상을 효과적으로 모델링할 수 있는 열차형상함수를 이용하여 실제 차량인 KTX 산천 전두부 형상의 공기저항을 저감하는 최적설계를 수행하였다. KTX 산천 전두부의 2차원 단면형상의 특성 곡선을 추출하고 열차형상함수를 이용하여 KTX 산천의 최적설계용 유선형 기본형상을 구성하였다. 기본형상을 이용해 상용 고속열차 전두부의 형상 제약조건을 위반하지 않는 설계공간을 구축하였다. Broyden-Fletcher-Goldfarb-Shanno 알고리즘을 이용한 최적설계를 수행하여 기본형상 대비 약 6%의 공기저항을 저감할 수 있었다. 최적형상은 기본형상에 비해 전두부 길이가 길고 끝단이 약간 날카로운 형상을 가져 후미차량에서의 와류의 크기를 줄임으로써 공기저항을 저감하였다.

• 한국자동차공학회논문집
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• 제10권5호
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• pp.223-227
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• 2002

Wind tunnel test or CFD is used for predicting aerodynamic drag coefficient in domestic motor companies. But, wind tunnel test requires much cost and time, and CFD has a relatively large error. In this study a predicting program of the aerodynamic drag coefficient based on empirical techniques was developed. Also GRG method was added to the program in order to decide optimal values of some parameters. The program was applied to 24 cars and the aerodynamic drag coefficients were predicted with 4.82% average error. Optimization was also accomplished to 6 cars. Some parameters to be modified were determined (1) to reduce the afterbody drag coefficient to the value established by a designer and (2) to preserve the same drag coefficient as the original automotive when some parameters have to be changed in the viewpoint of design. It was verified that the developed program can predict the aerodynamic drag coefficient appropriately and determine optimal values of some parameters.

• 한국전산유체공학회지
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• 제19권3호
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• pp.29-36
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• 2014

In the present study, an aerodynamic design optimization of UAV rotor blades was conducted using a genetic algorithm(GA) coupled with computational fluid dynamics(CFD). To reduce computational cost in making databases, a function approximation was applied using artificial neural networks(ANN) based on a radial basis function network. Three dimensional Reynolds-Averaged Navier-Stokes(RANS) solver was used to solve the flow around UAV rotor blades. Design directions were specified to maximize thrust coefficient maintaining torque coefficient and minimize torque coefficient maintaining thrust coefficient. Design variables such as twist angle, thickness and chord length were adopted to perform a planform optimization. As a result of an optimization regarding to maximizing thrust coefficient, thrust coefficient was increased about 4.5% than base configuration. In case of an optimization minimizing torque coefficient, torque coefficient was decreased about 7.4% comparing with base configuration.