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D-Optimal 반응표면모델에 의한 섀시 프레임 최적설치
이광기,구자겸,이태희,Lee, Gwang-Gi,Gu, Ja-Gyeom,Lee, Tae-Hui 대한기계학회 2000 大韓機械學會論文集A Vol.24 No.4
Optimization of chassis frame is performed according to the minimization of eleven responses representing one total frame weight, three natural frequencies and seven strength limits of chassis frame that are analyzed by using each response surface model from D-optimal design of experiments. After each response surface model is constructed form D-optimal design and random orthogonal array, the main effect and sensitivity analyses are successfully carried out by using this approximated regression model and the optimal solutions are obtained by using a nonlinear programming method. The response surface models and the optimization algorithms are used together to obtain the optimal design of chassis frame. The eleven-polynomial response surface models of the thirteen frame members (design factors) are constructed by using D-optimal Design and the multi-disciplinary design optimization is also performed by applying dual response analysis.
이광기(Kwang Ki Lee),박찬경(Chan Kyoung Park),한승호(Seung Ho Han) 대한기계학회 2009 大韓機械學會論文集A Vol.33 No.10
The spring constants of primary suspensions for a railway vehicle are optimized by a robust design process, in which the response surface models(RSMs) of their dynamic responses are constructed via the design of experiment(DOE). The robust design process requires an intensive computation to evaluate exactly a probabilistic feasibility for the robustness of dynamic responses with their probabilistic variances for the railway vehicle. In order to overcome the computational process, the process capability index Cpk is introduced which enables not only to show the mean value and the scattering of the product quality to a certain extent, but also to normalize the objective functions irrespective of various different dimensions. This robust design, consequently, becomes to optimize the Cpk subjected to constraints, i.e. 2, satisfying six sigma. The proposed method shows not only an improvement of some Cpk violating the constraints obtained by the conventional optimization, but also a significant decrease of the variance of the Cpk.
이광기(K.K.Lee),심정수(J.S.Shim),곽병학(B.H.Kwak) 한국자동차공학회 1995 한국자동차공학회 춘 추계 학술대회 논문집 Vol.1995 No.6_1
In this paper, an effective algorithm of vehicle attitude control, which is constructed by fuzzy description of the driving patterns of expert drivers, is proposed. Severe driving tests such as steering, traction, and braking are performed to extract the control algorithm in the form of the linguistic rules. The proposed algorithm is realized using a mid-size passenger car equipped with a high speed digital controller which is emposed of DSP(Digital Signal Processor), A/D, and D/A converters. Several driving tests are performed to verify the control effectiveness of the proposed algorithm. It is shown that the algorithm has the precise ability in vehicle attitude control during the drivers' handling operation. Also, the systematic tuning process can be easily obtained using the fuzzy description.<br/>
이광기(K.K.Lee),구자겸(J.K.Koo),김진봉(J.B.Kim) 한국자동차공학회 1998 한국자동차공학회 춘 추계 학술대회 논문집 Vol.1998 No.11_2
Tolerance design of McPherson strut is performed according to the minimization of four responses (toe, camber, caster and kingpin inclination) analyzed by using the each response surface model made from stochastic design of experiments. After the each response surface model is constructed, the variation of response can be estimated by making approximation model as described in this paper and we can get the robust optimal solutions by using nonlinear programming method such as sequential quadratic programming method and generalized reduced gradient one. The design of experiments and the optimization algorithm are used together to obtain the optimal tolerance design of McPherson strut in this paper. The first order response surface models of the six lower arm pivot points (design factors) are constructed by using Taguchi's orthogonal array and the tolerance sensitivity analysis is also performed by applying variation approximation instead of Monte Carlo method.<br/>
이광기(K.K.Lee),구자겸(J.K.Koo),김진봉(J.B.Kim) 한국자동차공학회 1998 한국자동차공학회 춘 추계 학술대회 논문집 Vol.1998 No.5_2
In order to solve the conflict between the ride comfort and the road holding, the semi-active suspension controller composed of the handling controller and the fuzzy comfort controller is proposed. The design of experiments and the optimization algorithm are used together to obtain the optimal fuzzy comfort controller. The second order regression model of the input membership function (design parameters) and the comfort index(object function) is obtained by the central composite design. Then the optimal membership function of the fuzzy comfort controller and be systematically adjusted with applying the conventional optimization algorithm in the obtained regression model. The frequency response analysis of sprung mass acceleration shows the control effectiveness of the proposed controller in the sprung mass resonance range(1-2Hz) and the middle range(3-8Hz).<br/>
[진동·소음부문] 다구찌 직교배열의 반응표면모델에 의한 철도차량 현수장치 최적설계
이광기(Kwang Ki Lee),박찬경(Chan Kyoung Park),이태희(Tae Hee Lee) 한국자동차공학회 1999 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
Optimal design of the suspension of train is performed according to the minimization of the response surface models for 34 responses that are predicted by a dynamic analysis code, VAMPIRE, where the each response surface model is made from Taguchi orthogonal away. After the whole 34 response surface models are constructed, the main effects and global sensitivities are performed by using 1?? order response surface model. Then the optimal solution is obtained by distance method and simplex nonlinear programming one after eliminating insignificant design variables by using stepwise regression. The design of experiments, especially orthogonal array, and the optimization algorithm are successfully used together to obtain the optimal design of the suspension of train. The 1" order response surface models of the 27 design variables are constructed by using Taguchi's L??2?? orthogonal array and least square estimation.
반응표면모델과 공정능력지수를 적용한 로워암 설계변수의 공차최적화
이광기(Kwang Ki Lee),노윤철(Yun Cheol Ro),한승호(Seung Ho Han) (사)한국CDE학회 2013 한국CDE학회 논문집 Vol.18 No.5
In the lower arm design process, a tolerance optimization of the variance of design variables should be preceded before manufacturing process, since it is very cost-effective compared to a strict management of tolerance of products. In this study, a design of experiment (DOE) based on response surface model (RSM) was carried out to find optimized design variables of the lower arm, which can meet a given requirement of probability constraint for the process capability index (Cpk) of the weight and maximum stress. Then, the design space was explored by using the central composite design method, in which the 2nd order Taylor expansion was applied to predict a standard deviation of the responses. The optimal solutions satisfying the probability constraint of the Cpk were found by considering both of the mean value and the standard deviation of the design variables.