• 한국전자통신학회논문지
• /
• 제16권6호
• /
• pp.1195-1204
• /
• 2021

본 논문에서는 반응 표면 분석을 이용하여 파력 발전기의 최적 설계 방법을 제안한다. 특히 제안한 방법에서는 파도의 수직 운동을 직접 전기 에너지로 변환하기 위한 선형 운동 가능한 선형발전기를 선택함으로써 기계적 손실을 줄인다. 따라서 에너지 변환 효율 향상을 위해 느린 파 상태에서도 구동 장치에 작용하는 여자력을 계산하고 슬롯과 극의 비율로 권선 과정을 결정한다. 또한 발전기의 성능에 중요한 영향을 미치는 고정자와 변환기의 형상 인자를 도출하기 위해 회귀분석을 사용한다. 반응 표면 분석을 통해 최적의 설계 변수를 선정하고, 분석 결과를 활용하여 효율적인 실험 설계를 위한 최적화 방법을 제시한다. 마지막으로, 모의 실험 결과를 통해 제안한 방법의 타당성을 검증한다.

• Membrane and Water Treatment
• /
• 제7권2호
• /
• pp.127-141
• /
• 2016

Electrodialysis (ED) is known to be a useful membrane process for desalination, concentration, separation, and purification in many fields. In this process, it is desirable to work at high current density in order to achieve fast desalination with the lowest possible effective membrane area. In practice, however, operating currents are restricted by the occurrence of concentration polarization phenomena. Many studies showed the occurrence of a limiting current density (LCD). The limiting current density in the electrodialysis process is an important parameter which determines the electrical resistance and the current utilization. Therefore, its reliable determination is required for designing an efficient electrodialysis plant. The purpose of this study is the development of a predictive model of the limiting current density in an electrodialysis process using response surface methodology (RSM). A two-factor central composite design (CCD) of RSM was used to analyze the effect of operation conditions (the initial salt concentration (C) and the linear flow velocity of solution to be treated (u)) on the limiting current density and to establish a regression model. All experiments were carried out on synthetic brackish water solutions using a laboratory scale electrodialysis cell. The limiting current density for each experiment was determined using the Cowan-Brown method. A suitable regression model for predicting LCD within the ranges of variables used was developed based on experimental results. The proposed mathematical quadratic model was simple. Its quality was evaluated by regression analysis and by the Analysis Of Variance, popularly known as the ANOVA.

• 대한기계학회논문집A
• /
• 제34권8호
• /
• pp.989-996
• /
• 2010

통계적 회귀모델과 보간모델은 구조공학 분야에서 실제실험과 전산실험의 결과로부터 자료를 분석하고 응답을 예측하기 위해 적용되었으며 최근 10 년 동안 다양한 설계방법론들과 함께 발전해왔다. 그러나 그들은 구조물의 크기와 형상과 같은 공간변수에 대해서만 취급해왔고 시간변수에 따라 변하는 시간-변화 동적응답을 고려할 수 없었다. 본 연구에서는 공간변수와 시간변수를 모두 취급하여 시간-변화 동적응답을 고려할 수 있는 다중응답접근법 기반 통계적 공간-시간 메타모델을 제안한다. 대표적 회귀모델인 반응표면모델과 보간모델인 크리깅모델을 구조공학 예제의 시간-변화 동적응답에 적용한다. 또한 제안한 방법의 성능을 검증하기 위해 실제함수와의 비교를 통해 두 통계적 공간-시간 메타모델의 정확성을 비교한다.

• 한국항공우주학회지
• /
• 제47권1호
• /
• pp.59-65
• /
• 2019

본 연구에서는 직구동방식의 보이스 코일 모터를 이용한 유도무기 날개 작동기의 최적 설계를 진행하였다. ANSYS Maxwell 상용프로그램으로 전자기장 해석을 수행하여 토크 성능 및 보이스 코일 모터의 특성을 예측하였으며, 운용 각도 범위에서 날개에 작용하는 공력부하가 가장 큰 구간인 양끝단에 해당되는 각도에서 최적화 설계를 수행하였다. 또한, 작동기의 주요 설계 변수를 선정하고, 최적화 설계를 위하여 반응면 기법(Response Surface Method)을 사용하였다. 반응면은 2차 함수로 구성하였고 2차 반응면 구성에 널리 쓰이는 중심합성법을 바탕으로 수치실험점들을 선정하였다. 구성된 반응면의 적합성은 수정결정계수로 판단하였으며, 최종적으로 최적화로 구해진 토크값은 전자기장 해석을 통한 토크값과 거의 동일함을 확인하였다.

• 소성∙가공
• /
• 제29권5호
• /
• pp.241-250
• /
• 2020

In this study, the methodology of the springback prediction of automotive parts applied 3rd generation AHSS was investigated using the response surface model analysis based on a regression model, and the meta model analysis based on a Kriging model. To design the learning data set for constructing the springback prediction models, and the experimental design was conducted at three levels for each processing variable using the definitive screening designs method. The hat-shaped member, which is the basic shape of the member parts, was selected and the springback values were measured for each processing type and processing variable using the finite element analysis. When the nonlinearity of the variables is small during the hat-shaped member forming, the response surface model and the meta model can provide the same processing parameter. However, the accuracy of the springback prediction of the meta model is better than the response surface model. Even in the case of the simple shape parts forming, the springback prediction accuracy of the meta model is better than that of the response surface model, when more variables are considered and the nonlinearity effect of the variables is large. The efficient global optimization algorithm-based Kriging is appropriate in resolving the high computational complexity optimization problems such as developing automotive parts.

• 산업경영시스템학회지
• /
• 제45권4호
• /
• pp.61-69
• /
• 2022

The function of coolant in machining is to reduce the frictional force in the contact area in between the tool and the material, and to increase the precision by cooling the work-piece and the tool, to make the machining surface uniform, and to extend the tool life. However, cutting oil is harmful to the human body because it uses chlorine-based extreme pressure additives to cause environmental pollutants. In this study, the effect of cutting temperature and surface roughness of titanium alloy for medical purpose (Ti-6Al-7Nb) in eco-friendly ADL slot shape machining was investigated using the response surface analysis method. As the design of the experiment, three levels of cutting speed, feed rate, and depth of cut were designed and the experiment was conducted using the central composite planning method. The regression expressions of cutting temperature and surface roughness were respectively obtained as quadratic functions to obtain the minimum value and optimal cutting conditions. The values from this formula and the experimental values were compared. As a result, this study makes and establishes the basis to prevent environmental pollution caused by the use of coolant and to replace it with ADL (Aerosol Dry Lubricant) machining that uses a very small amount of vegetable oil with high pressure.

• 해양환경안전학회지
• /
• 제21권6호
• /
• pp.729-736
• /
• 2015

본 논문에서는 Goal-Driven Optimization(GDO)을 바탕으로 한 양방향 차도선의 차량갑판의 구조설계에 대하여 최적화를 수행하였다. 차량갑판의 강도와 변형에 대한 영향을 검토하여 경제적 비용을 절약할 수 있는 최적점을 결정하였다. 실험계획법(DOE)과 반응표면법을 바탕으로 한 갑판두께를 110% 증가시켜 차량갑판의 강도와 강성을 높일 수 있었다. 이 결과에 대한 회귀분석을 수행하여 3차 다항식 모형인 최적 회귀모형식으로 제안하며 결정계수 $R^2$ 0.98정도로 나타내어 신뢰성을 확보할 수 있었다.

• 한국환경과학회지
• /
• 제18권11호
• /
• pp.1225-1234
• /
• 2009

The aim of this research was to apply experimental design methodology in the optimization condition of electrochemical oxidation of Rhodamine B(RhB). The reactions of electrochemical oxidation were mathematically described as a function of parameters amounts of current, NaCl dosage, pH and time being modeled by the use of the central composite design, which was used for fitting quadratic response surface model. The application of response surface methodology using central composite design(CCD) technique yielded the following regression equation, which is an empirical relationship between the removal efficiency of RhB and test variable in actual variables: RhB removal (%) = 3.977 + 23.279$\cdot$Current + 49.124$\cdot$NaCI - 5.539$\cdot$pH - 8.863$\cdot$time - 22.710$\cdot$Current$\cdot$NaCl + 5.409$\cdot$Current$\cdot$time + 2.390$\cdot$NaCl$\cdot$time + 1.061$\cdot$pH$\cdot$time - $0.570{\cdot}time^2$. The model predicted also agree with the experimentally observed result($R^2$ = 91.9%).

• 한국전산유체공학회:학술대회논문집
• /
• 한국전산유체공학회 2000년도 춘계 학술대회논문집
• /
• pp.159-165
• /
• 2000

In this paper, numerical study has been done for the improvement of the superdetonative ram accelerator performance and for the design optimization of the system. The objective function to optimize the premixture composition is the ram tube length required to accelerate projectile from initial velocity $V_o$ to target velocity $V_e$. The premixture is composed of $H_2,\;O_2,\;N_2$ and the mole numbers of these species are selected at design variables. RSM(Response Surface Methodology) which is widely used for the complex optimization problems is selected as the optimization technique. In particular, to improve the non-linearity of the response and to consider the accuracy and efficiency of the solution, design space stretching technique has been applied. Separate sub-optimization routine is introduced to determine the stretching position and clustering parameters which construct the optimum regression model. Two step optimization technique has been applied to obtain the optimal system. With the application of stretching technique, we can perform system optimization with a small number of experimental points, and construct precise regression model for highly non-linear domain. The error to compared with analysis result is only $0.01\%$ and it is demonstrated that present method can be applied more practical design optimization problems with many design variables.

• 한국전산유체공학회지
• /
• 제5권2호
• /
• pp.55-63
• /
• 2000

In this paper, the numerical study has been done for the improvement of the superdetonative ram accelerator performance and for the design optimization of the system. The objective function to optimize the premixture composition is the ram tube length, required to accelerate projectile from initial velocity V/sub 0/ to target velocity V/sub e/. The premixture is composed of H₂, O₂, N₂ and the mole numbers of these species are selected as design variables. RSM(Response Surface Methodology) which is widely used for the complex optimization problems is selected as the optimization technique. In particular, to improve the non-linearity of the response and to consider the accuracy and the efficiency of the solution, design space stretching technique has been applied. Separate sub-optimization routine is introduced to determine the stretching position and clustering parameters which construct the optimum regression model. Two step optimization technique has been applied to obtain the optimal system. With the application of stretching technique, we can perform system optimization with a small number of experimental points, and construct precise regression model for highly non-linear domain. The error compared with analysis result is only 0.01% and it is demonstrated that present method can be applied to more practical design optimization problems with many design variables.