• 대한기계학회논문집B
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• 제38권6호
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• pp.547-556
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• 2014

본 논문에서는 15,000 마력급 원심식 압축기 임펠러 블레이드에 대한 단방향 유체-구조 연성해석 및 응답표면법을 이용한 형상최적설계를 제시하였다. 임펠러 블레이드의 형상은 공력 성능에 영향을 미칠 뿐만 아니라, 유체의 압력과 원심력에 의한 임펠러의 구조적 안전성에도 큰 영향을 미치므로 유체-구조 연성해석을 함께 고려한 형상최적설계가 필요한 분야이다. 본 논문에서 유체-구조 연성해석의 유체영역과 구조영역을 ANSYS CFX와 Mechanical을 사용하여 각각 해석하였다. 실험계획법을 기반으로 유체 및 구조해석 결과에 대한 응답표면을 생성하여 구조적 안전성 및 압축비를 제한조건으로 하고 임펠러의 효율을 최대화하는 임펠러 블레이드의 형상최적설계를 수행하였다.

• 한국항공우주학회지
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• 제33권5호
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• pp.18-27
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• 2005

세로 정안정성이 우수한 지면효과익기 익형을 최적설계하였다. NURBS 형상함수를 사용하여 형상을 설계하고 Navier-Stokes 해석을 통해 공력특성을 해석하였으며, 반응표면법을 사용하여 최적화하였다. 수치계산 효율성을 증대하고 상용 설계/해석 코드 기반의 자동화된 최적화를 위하여 네트워크 분산환경을 구현한 설계최적화 프레임워크를 사용하였다. 양력 최대화 설계 결과로서 기존의 DHMTU 익형과 유사한 안정성 특성을 가지며 양력특성이 개선된 익형을 얻었으며, 강화된 전방하중 특성과 후방의 반전된 캠버선이 특징적으로 나타났다. 이수 중의 피칭모멘트 변화폭이 감소된 익형도 설계하였으며, 전방하중 경향이 약화되고 양력도 약간 감소한 것으로 나타났다. 기존의 포텐셜 유동에 기반한 설계최적화 결과와 비교함으로써 실용적이며 실제로 구현 가능한 공력특성의 개선을 위해서는 반드시 점성을 고려해서 설계를 해야하며 다양한 익형을 생성시킬 수 있는 형상설계 기능의 중요성을 확인하였다.

• 한국항공우주학회지
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• 제36권2호
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• pp.99-104
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• 2008

본 연구에서는 신경망에 기반한 불확실성 모델을 이용하여 전투기 날개 형상의 강건 최적 설계를 수행하였다. 불확실성 모델을 구축하기 위하여 공력성능과 이들의 민감도 정보를 중심합성법으로 선정된 실험점에서 구하였으며, 이 때 3차원 오일러 방정식과 adjoint변수방법이 사용되었다. 또한 비선형성 모사능력이 뛰어난 신경망모델을 이용함으로써 공력성능계수의 민감도 정보를 효율적이고 정확하게 예측하는 것이 가능하였다. 이와 같은 방법으로 구하여진 강건 최적 설계 결과로부터, 불확실성 모델의 변동과 신뢰도 수준의 변화가 증가할수록 목적함수 및 제약조건에 대한 강건성이 향상되는 것을 확인할 수 있었다.

• International Journal of Aeronautical and Space Sciences
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• 제8권1호
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• pp.95-104
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• 2007

A new design approach of complex geometries such as wing/body configuration is arranged by using overset mesh techniques under large scale computing environment. For an in-depth study of the flow physics and highly accurate design, several special overlapped structured blocks such as collar grid, tip-cap grid, and etc. which are commonly used in refined drag prediction are adopted to consider the applicability of the present design tools to practical problems. Various pre- and post-processing techniques for overset flow analysis and sensitivity analysis are devised or implemented to resolve overset mesh techniques into the design optimization problem based on Gradient Based Optimization Method (GBOM). In the pre-processing, the convergence characteristics of the flow solver and sensitivity analysis are improved by overlap optimization method. Moreover, a new post-processing method, Spline-Boundary Intersecting Grid (S-BIG) scheme, is proposed by considering the ratio of cell area for more refined prediction of aerodynamic coefficients and efficient evaluation of their sensitivities under parallel computing environment. With respect to the sensitivity analysis, discrete adjoint formulations for overset boundary conditions are derived by a full hand-differentiation. A smooth geometric modification on the overlapped surface boundaries and evaluation of grid sensitivities can be performed by mapping from planform coordinate to the surface meshes with Hicks-Henne function. Careful design works for the drag minimization problems of a transonic wing and a wing/body configuration are performed by using the newly-developed and -applied overset mesh techniques. The results from design applications demonstrate the capability of the present design approach successfully.

• 유체기계공업학회:학술대회논문집
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• 유체기계공업학회 2002년도 유체기계 연구개발 발표회 논문집
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• pp.439-443
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• 2002

In this study, three-dimensional incompressible viscous flow analysis and optimization using response surface method are presented for the design of a jet fan. Steady, incompressible, three-dimensional Reynolds averaged Wavier-Stokes equations are used as governing equations, and standard k-$\epsilon$ turbulence model is chosen as a turbulence model. Governing equations are discretized using finite volume method. Sweep angles and maximum thickness of blade are used as design variables for the shape optimization of the impeller in response surface method. The experimental points which are needed to construct response surface are obtained from the D-optimal design and Full Factorial design and relations between design variables and response surface are examined.

• 한국유체기계학회 논문집
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• 제2권4호
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• pp.31-39
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• 1999

Using basic shape and aerodynamic data for the designed impeller, basic structure analysis such as stress analysis and eigenvalue analysis was carried out. Also, we made the optimization program that was designed for optimum thickness within the adaptive stress limits. For the structural optimum theory, we used the BFGS(Broydon Fletcher Goldfarb Shanno) Method which is one of the searching methods. Through this program we managed optimization of the blade. For numerical simulation, we used the optimization program to compose Cyclic Module of NASTRAN and the Optimization Program which was implemented by C and fortran language.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2005년도 추계 학술대회논문집
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• pp.99-104
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• 2005

For the efficient reliability analysis, Bi-direction two-point approximation(BTPA) method is developed which solves shortcomings of conventional two-point approximation(TPA) methods that generate an approximate surface with low accuracy or sometimes do an unstable approximate surface. The conventional reliability based design optimization(RBDO) methods require high computational cost compared with the deterministic design optimization(DO) methods. To overcome the computational inefficiency of RBDO, the approximate reliability analysis approaches on the TPA surface are proposed. Using these FORM and SORM analysis strategies, multi-point aerodynamic-structure interacted shape design optimizations with uncertainty are performed very efficiently.

• 유체기계공업학회:학술대회논문집
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• 유체기계공업학회 2001년도 유체기계 연구개발 발표회 논문집
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• pp.135-142
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• 2001

Design optimization of a transonic compressor rotor (NASA rotor 37) using response surface method and three-dimensional Navier-Stokes analysis has been carried out in this work. Baldwin-Lomax turbulence model was used in the flow analysis. Three design variables were selected to optimize the stacking line of the blade. Data points for response evaluations were selected by D-optimal design, and linear programming method was used for the optimization on the response surface. As a main result of the optimization, adiabatic efficiency was successfully improved. Ana, it is found that the design process provides reliable design of a turbomachinery blade with reasonable computing time.

• 한국소음진동공학회논문집
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• 제14권10호
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• pp.939-944
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• 2004

The numerical methods including the performance analysis and the noise prediction of the centrifugal compressor impeller are coupled with the optimization design skill, which consists of response surface method, statistical approach, and genetic algorithm. The flow-field Inside of a centrifugal compressor is obtained numerically by solving Wavier-Stokes equations. and then the propagating noise is estimated from the distributed surface pressure by using Ffowcs Williams-Hawkings formulation. The quadratic response surface model with D-optimal 3-level factorial experimental design points is constructed to optimize the impeller geometry for the advanced centrifugal compressor. The statistical analysis shows that the quadratic model exhibits a reasonable fitting quality resulting in the impeller blade design with high performance and low far-field noise level. The influences of selected design variables, objective functions, and constraints on the impeller performance and the impeller noise are also examined as a result of the optimization process.

• International Journal of Aeronautical and Space Sciences
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• 제7권1호
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• pp.1-12
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• 2006

In this study, a surrogate model is applied to multi-objective aerodynamic optimization design. For the balanced exploration and exploitation, each objective function is converted into the Expected Improvement (EI) and this value is used as fitness value in the multi-objective optimization instead of the objective function itself. Among the non-dominated solutions about EIs, additional sample points for the update of the Kriging model are selected. The present method was applied to a transonic airfoil design. Design results showed the validity of the present method. In order to obtain the information about design space, two data mining techniques are applied to design results: Analysis of Variance (ANOVA) and the Self-Organizing Map (SOM).