• 대한기계학회논문집A
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• 제37권11호
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• pp.1331-1337
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• 2013

본 논문에서는 반응표면법을 이용하여 양항력형 수직축 풍력발전기 블레이드의 구조 최적설계를 수행하였다. 선행연구의 구조해석 결과를 살펴보면 양항력형 수직축 풍력발전기 블레이드가 항복강도 이상의 응력이 발생하였으므로, 구조적 안전성을 확보하고자 최적화 기법을 적용한 구조설계를 재수행하였다. 이를 위해 먼저 블레이드에 발생하는 응력에 큰 영향을 주는 설계인자를 선정하였다. 이에 실험계획법 기반 반응표면법을 적용하였다. 목적함수 및 제한조건은 각각 중량 및 허용응력으로 설정하였다. 또한 중량 및 응력에 대한 설계인자의 영향을 평가하기 위한 민감도 해석을 수행하였다. 이러한 과정을 통해 양항력형 수직축 풍력발전기 블레이드의 구조 최적 설계를 수행하였다.

• Steel and Composite Structures
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• 제27권4호
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• pp.427-438
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• 2018

In this paper, the single and multi-objective optimization of thin-walled conical tubes with different types of indentations under axial impact has been investigated using surrogate models called metamodels. The geometry of tapered thin-walled tubes has been studied in order to achieve maximum specific energy absorption (SEA) and minimum peak crushing force (PCF). The height, radius, thickness, tapered angle of the tube, and the radius of indentation have been considered as design variables. Based on the design of experiments (DOE) method, the generated sample points are computed using the explicit finite element code. Different surrogate models including Kriging, Feed Forward Neural Network (FNN), Radial Basis Neural Network (RNN), and Response Surface Modelling (RSM) comprised to evaluate the appropriation of such models. The comparison study between surrogate models and the exploration of indentation shapes have been provided. The obtained results show that the RNN method has the minimum mean squared error (MSE) in training points compared to the other methods. Meanwhile, optimization based on surrogate models with lower values of MSE does not provide optimum results. The RNN method demonstrates a lower crashworthiness performance (with a lower value of 125.7% for SEA and a higher value of 56.8% for PCF) in comparison to RSM with an error order of $10^{-3}$. The SEA values can be increased by 17.6% and PCF values can be decreased by 24.63% by different types of indentation. In a specific geometry, higher SEA and lower PCF require triangular and circular shapes of indentation, respectively.

• 한국기계가공학회지
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• 제16권6호
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• pp.117-124
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• 2017

In this study, we investigated the optimization of process conditions by using the Six Sigma process, design of experiment (DOE) method and response surface method (RSM) to resolve dimensional deviation and appearance problems arising from the shortened process time of the mobile phone rear cover. The analysis of the trivial many was performed by 2-sample T-test and cooling time, and mold temperature and packing pressure were selected as the vital fews affecting the overall width of the product. The optimal conditions of the process were then studied using the DOE and the RSM. We analyzed the improvement effects by applying the selected optimal conditions to the production process and the results showed that the difference between the mean value and target value of the overall width stood at 0.01 mm, an improvement of 88.89% compared to current process that fell within the range of standard dimension. The short-term process capability stood at $4.77{\sigma}$, which implied an excellent technology level despite a decrease by $0.22{\sigma}$ compared to the current process. The difference in process capability decreased by $2.44{\sigma}$ to $0.41{\sigma}$, showing a significant improvement in management capability. Ultimately, the process time of the product was shortened from 18.3 seconds in the current process to 13.65 seconds, resulting in a 34.07% improvement in production yield.

• 한국항공우주학회지
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• 제37권6호
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• pp.519-526
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• 2009

본 논문에서는 커나드와 테일핀을 가진 지대지 유도미사일이 대기권을 비행할 때 최대 사거리를 갖기 위한 효율적인 외형 형상 최적화 기법 연구에 대하여 기술하였다. 이를 위하여 비행궤적 해석 기법과 최적화 기법을 연계하여 미사일의 사거리 증대를 위한 외형 형상 최적화 전산 프로그램 시스템을 구축하였다. 비행궤적 해석부분에서는 반실험적 기법을 이용한 공력해석프로그램인 Missile DATCOM을 직접 연결하여 운동방정식 계산에 필요한 공력계수들을 계산 시간 단계 마다 효율적으로 제공할 수 있게 하였고 최고점 이후의 활공비행 구간에서는 최대 양항비를 갖는 Trim 조건 계산 모듈을 첨가하여 활공비행전 영역에서 최대 양항비 상태에서 지속적으로 비행한다는 가정으로 계산 하였다. 최적화 기법으로는 Response Surface Method(RSM)를 적용하여 계산 시간 효율화를 꾀하였다.

• 한국시뮬레이션학회논문지
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• 제29권4호
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• pp.85-94
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• 2020

철도교통사업의 계획 및 시행 가능 여부를 판단 하는 데 있어, 다양한 의사결정 과정이 필수적으로 요구되며, 그 결과로 총사업비, 운영비 등을 포함한 LCC(Life Cycle Cost) 값을 예측한다. 본 연구에서는 철도교통사업 의사결정 및 LCC 도출과정을 지원하기 위한 모델링 및 시뮬레이션 기반의 분석 방식을 제안한다. 먼저, 수치적 데이터 기반의 분석이 가능하도록 기존 다양한 철도교통사업 자료를 취합하여 Cost Analysis 모델을 구성하였으며, 실험계획법 및 반응표면법 기반의 근사모델링 기법을 통해 시뮬레이션을 수행, 결과를 도출하여 분석하였다. 모델 구성 및 시뮬레이션을 효과적으로 수행하기 위해 전문적인 상용 소프트웨어 도구를 사용하였다. 연구 결과 검증을 위해 실제 추진되고 있는 철도교통사업을 선정하여 분석결과를 비교하였고, 이를 각 분야 전문가 검증 과정을 거쳐 연구 성과의 신뢰성을 검토하였다.

• 유체기계공업학회:학술대회논문집
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• 유체기계공업학회 2006년 제4회 한국유체공학학술대회 논문집
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• pp.543-544
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• 2006

Shape optimization of a transonic axial compressor rotor operating at the design flow condition has been performed using three-dimensional Navier-Stokes analysis and three different surrogate models: i.e.., Response Surface Method(RSM), Kriging Method, and Radial Basis Function(RBF). Three design variables of blade sweep, lean and skew are introduced to optimize the three-dimensional stacking line of the rotor blade. The object function of the shape optimization is selected as an adiabatic efficiency. Throughout the shape optimization of the rotor blade, the adiabatic efficiency is increased for the three different surrogate models. Detailed flow characteristics at the optimal blade shape obtained by different optimization method are drawn and discussed.

• 제어로봇시스템학회논문지
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• 제17권3호
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• pp.241-247
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• 2011

This paper is intended to improve efficiency of two-phase BLDC motor using analytical and statistical methods, and then the stability of the starting for the designed model is investigated. The characteristics of the motor according to magnetization directions of permanent magnet are analyzed through the analytical method, and design variables that affect the efficiency are selected. Preliminary optimal design is performed using the analytical method with the design variable. The RSM (Response Surface Method) based on the FEA (Finite Element Analysis) is applied to complement errors of the analytical method. As a result, the optimal design is determined. Finally, the stability of the starting for the optimal designed model is evaluated by analyzing cogging torque, and it is verified through the FEA.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2004년도 추계학술대회
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• pp.510-515
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• 2004

A proton exchange membrane fuel cells(PEMFC) operate at low temperature, allowing for faster startups and immediate response to change in the demand for power, and also deliver high power density. To maximize economical efficiency in PEMPC, it is necessary to the optimization. Response surface method(RSM) has non-gradient and fast convergency characteristics. Sampling points are extracted by design of experiments using Central Composite Method. In this paper, it is shown that the optimization is required for the design study of the PEMFC.

• 한국유체기계학회 논문집
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• 제11권2호
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• pp.38-45
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• 2008

This study presents a numerical procedure to optimize the compressor design to increase the surge margin of compressor with response surface method (RSM). The Box-Behnken design method is used to reduce the number of calculation for fitting the second-order response surface. In order to consider the increase of surge margin during numerical optimization without any calculation at the surge point, the slope of compressor characteristic curve at the design point is suggested as an objective function in the present optimization problem. Mean line performance analysis method is used to get the design and off-design characteristic curves of centrifugal compressor. The impeller exit angle, impeller exit height and impeller radius are chosen as design variables. The optimum shapes show the increase of surge margin for the surge margin optimization and increase of efficiency for the efficiency optimization in comparison with an initial shape.

• 한국소성가공학회:학술대회논문집
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• 한국소성가공학회 2004년도 추계학술대회논문집
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• pp.311-314
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• 2004

The housing of the fuel injector supports the rod, the niddle valve and the solenoid. Based on the procedure of process design, in this paper, the forming operation is designed by the rigid-plastic finite element method. The metal flow during the forming of the fuel injector housing is axisymmetric until the final forming process. The response surface method has been performed to reduce the under-fill and the maximum effective strain. From the results of RSM, the second order regression model of equation is calculated by the least square method and used to determine the optimal values of design variables by simultaneously considering the responses. It is noted that upper under-fill is affected by the design variables of the $2^{nd}$ forming process and lower under-fill is affected by the design variables of the 1st forming process.