• 한국구조물진단유지관리공학회 논문집
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• 제21권6호
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• pp.113-125
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• 2017

본 연구는 전산실험을 통해 중규모 건물에 설치한 수동형 TMD의 매개변수에 대한 가중 다목적 최적화 설계를 다루고 있다. MATLAB으로 수치 시뮬레이션 코드를 작성함으로써 지진하중에 대한 동적응답을 파악하였으며 중심합성계획법과 반응표면법으로 구성한 전산실험을 기반으로 하는 가중 다목적 최적화 기법을 적용하여 TMD의 최적 동조 매개변수를 찾고자 하였다. 본 연구에서는 10층 건물을 대상으로 El Centro를 벤치마크 지진으로 가진하여 반응모델을 생성하고, AHP를 이용하여 반응변수 사이의 상대적 중요도를 산출한 후 가중다목적최적화 설계를 실시하였다. 본 연구의 방법으로 최적화된 매개변수를 가진 TMD는 지진 응답을 효과적으로 저감하였다. El Centro 지진이 작용하는 경우 RSM 기반 가중 다목적 최적설계방법으로 최적화한 TMD의 진동수 응답과 최상층 평균제곱변위는 비제진시보다 각각 31.6%와 82.3% 향상되었고, 모든 적용 지진에서 기존 설계법보다 동등 또는 이상의 성능을 가진 것으로 확인되었다.

• 공업화학
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• 제31권2호
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• pp.147-152
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• 2020

본 연구에서는 천연오일인 cashew nut shell liquid (CNSL)의 구성성분인 cardanol을 이용하여 내화학성이 향상된 에폭시계 수지용 반응성 희석제 제조 공정을 최적화하였다. 이를 위해 반응표면분석법 중 중심합성계획법을 이용하여 최적화과정를 설계하였다. 계량인자로는 cardanol/ECH 반응몰비, 반응시간, 반응온도이고, 반응치는 수율, 에폭시 당량(EEW), 점도이다. 기초실험으로부터 계량인자 범위를 각각 cardanol/ECH 반응몰비(2~4), 반응시간(4~8 h), 반응온도(100~140 ℃)로 설정한 후 최적화과정을 진행한 결과 최적의 조건은 cardanol/ECH 반응몰비(3.33), 반응시간(6.18 h), 반응온도(120 ℃)로 산출되었으며, 이 조건에서의 예측값은 수율(100%), EEW (429.89 g/eq.), 점도(41.65 cP)로 나타났다. 실제 실험을 통해 알아본 결과 오차율은 0.3% 이하로 나타나 중심합성계획모델을 이용하여 cardanol 원료 반응성 희석제의 제조 공정을 최적화할 수 있었다.

• 공업화학
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• 제32권3호
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• pp.320-325
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• 2021

본 연구에서는 밀배아유에 항산화 물질이 다량 함유되어있는 밀싹 추출물을 첨가한 후 O/W 유화액을 제조하는 최적화 공정을 설계하였다. 최적화 공정 설계는 반응표면분석법의 중심합성계획모델을 사용하였다. 기초실험을 통하여 유화제 첨가량, 유화시간, 밀싹 추출물의 첨가량을 독립변수로 설정하였다. 그리고 반응치는 평균입자크기, 점도, 유화안정도지수를 설정하여 유화액의 안정성을 평가하였다. 각 독립변수에 대해 최적화하여 P-value와 결정계수를 평가하여 실험 신뢰도를 확인하였다. 모든 독립변수를 만족하는 최적화 조건은 유화제 첨가량 = 7.7 wt.%, 유화시간 = 23.6 min, 밀싹 추출물의 첨가량 = 3.9 wt.%에서 평균입자크기 = 252.3 nm, 유화액의 점도 = 616.7 cP, ESI = 88.7%로 나타났다. 종합만족도가 0.9137으로 실험의 타당성을 뒷받침하였고, 실제실험을 진행하여 오차율이 0.5 %이하로 측정되었다. 따라서 중심합성계획모델을 통해 밀싹 추출물을 첨가하여 유화액을 제조하는 최적화 과정을 설계하였다.

• 한국수소및신에너지학회논문집
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• 제24권1호
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• pp.50-60
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• 2013

High temperature proton exchange membrane fuel cells (PEMFCs) using phosphoric acid (PA) doped polybenzimidazole (PBI) membranes have been concentrated as one of solutions to the limits with traditional low temperature PEMFCs. However, the amount of reported experimental data is not enough to catch the operational characteristics correlated with cell performance and durability. In this study, design of experiments (DOE) based operational optimization method for high temperature PEMFCs has been proposed. Response surface method (RSM) is very useful to effectively analyze target system's characteristics and to optimize operating conditions for a short time. Thus RSM using central composite design (CCD) as one of methodologies for design of experiments (DOE) was adopted. For this work, the statistic models which predict the performance and degradation rate with respect to the operating conditions have been developed. The developed performance and degradation models exhibit a good agreement with experimental data. Compared to the existing arbitrary operation, the expected cell lifetime and average cell performance during whole operation could be improved by optimizing operating conditions. Furthermore, the proposed optimization method could find different new optimal solutions for operating conditions if the target lifetime of the fuel cell system is changed. It is expected that the proposed method is very useful to find optimal operating conditions and enhance performance and durability for many other types of fuel cell systems.

• Journal of Microbiology and Biotechnology
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• 제15권5호
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• pp.930-937
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• 2005

The Plackett-Burman design and the response surface method (RSM) with a central composite design (CCD) were employed to develop a culture medium for ansamitocin P-3 production using Actinosynnema pretiosum ATCC 31565. Among the 11 nutrients tested using the Plackett-Burman design, two carbon sources, sucrose and dextrin, and two nitrogen sources, polypeptone and yeast extract, were selected. Optimization of the concentrations of the selected nutrients was then performed using RSM with CCD. After two rounds of RSM, the optimum concentrations ($\%w/v$) of sucrose, dextrin, polypeptone, and yeast extract were identified as 4.5, 4.5, 0.16, and 0.89, respectively. The maximum ansamitocin P-3 titer was 45.2 mg/l with the optimized medium, which was about 6 times higher than that (7.315 mg/l) obtained with an $R_{2}YE$ medium before optimization.

• 한국유체기계학회 논문집
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• 제16권4호
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• pp.22-27
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• 2013

The purpose of this paper is to perform the structural design of the small scale vertical-axis wind turbine (VAWT) blade using a response surface method(RSM). First, the four design factors that have a strong influence on the structural response of blade were selected. Analysis conditions were calculated by using the central composite design(CCD), which is a typical design of experiment for the response surface method(RSM). Also, the significance of the central composite design(CCD) was verified using analysis of variance(ANOVA). The finite element analysis was performed for the selected analytical conditions for the application of response surface method(RSM). Finally, a optimization problem was solved with a objective function of blade weight and a constraint of allowable stress to achieve a optimal structural design of blade.

• Integrative Medicine Research
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• 제6권4호
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• pp.388-394
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• 2017

Background: The present study optimized ultrasound-assisted extraction conditions to maximize extraction yields of glycyrrhizic acid from licorice. Methods: The optimal extraction temperature ($X_1$), extraction time ($X_2$), and methanol concentration ($X_3$) were identified using response surface methodology (RSM). A central composite design (CCD) was used for experimental design and analysis of the results to obtain the optimal processing parameters. Results: Statistical analyses revealed that three variables and the quadratic of $X_1$, $X_2$, and $X_3$ had significant effects on the yields and were followed by significant interaction effects between the variables of $X_2$ and $X_3$ (p<0.01). A 3D response surface plot and contour plots derived from the mathematical models were applied to determine the optimal conditions. The optimum ultrasound-assisted extraction conditions were as follows: extraction temperature, $69^{\circ}C$; extraction time, 34?min; and methanol concentration, 57%. Under these conditions, the experimental yield of glycyrrhizic acid was 3.414%, which agreed closely with the predicted value (3.406%). Conclusion: The experimental values agreed with those predicted by RSM models, thus indicating the suitability of the model employed and the success of RSM in optimizing the extraction conditions.

• 지식경영연구
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• 제20권3호
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• pp.39-47
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• 2019

Response surface methodology (RSM) is a group of statistical modeling and optimization methods to improve the quality of design systematically in the quality engineering field. Its final goal is to identify the optimal setting of input variables optimizing a response. RSM is a kind of knowledge management tool since it studies a manufacturing or service process and extracts an important knowledge about it. In a real problem of RSM, it is a quite frequent situation that considers multiple responses simultaneously. To date, many approaches are proposed for solving (i.e., optimizing) a multi-response problem: process capability function approach, desirability function approach, loss function approach, and so on. The process capability function approach first estimates the mean and standard deviation models of each response. Then, it derives an individual process capability function for each response. The overall process capability function is obtained by aggregating the individual process capability function. The optimal setting is given by maximizing the overall process capability function. The existing process capability function methods usually use the arithmetic mean or geometric mean as an aggregation operator. However, these operators do not guarantee the Pareto optimality of their solution. Moreover, they may bring out an unacceptable result in terms of individual process capability function values. In this paper, we propose a maximin-based process capability function method which uses a maximin criterion as an aggregation operator. The proposed method is illustrated through a well-known multiresponse problem.

• 공업화학
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• 제31권5호
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• pp.532-538
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• 2020

본 연구에서는 천연 자외선 차단크림을 제조하기 위해 shea butter, 올리브 유화왁스, 녹차추출물 등을 원료로 유화과정을 수행하였다. 유화과정의 최적화는 CCD-RSM을 이용하여 진행하였으며, 반응치로는 유화액의 7 days 경과 후 평균액적크기(MDS), 유화안정도지수(ESI), 300 nm에서의 자외선 흡광도 등을 설정하였다. 실험에 사용된 독립변수로는 유화제의 첨가량, 녹차추출물의 첨가량 및 유화시간을 설정하였다. CCD-RSM에 의해 최적화과정을 수행한 결과 자외선 차단크림 O/W 유화공정의 최적조건은 유화제의 첨가량(3.70 wt.%), 녹차추출물의 첨가량(2.47 wt.%) 및 유화시간(15.4 min)이었으며, 이때 예측된 반응치는 7 days 경과 후 유화액의 MDS (1173.8 nm), ESI (99.56%), 그리고 300 nm에서의 자외선 흡광도(2.47)로 나타났다. 이 조건에서의 실제실험 결과 오차율은 3.0 ± 1.5%로 낮게 나타나 본 연구에서 적용된 CCD-RSM 최적화 과정이 비교적 높은 유의수준으로 나타난 것으로 판단된다.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2007년도 춘계학술대회B
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• pp.2384-2389
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• 2007

The 2nd order response surface method (RSM) has been carried out to get optimum thermal design for enhanced heat transfer on square channel with bleed holes. The RSM was used as an optimization technique with Reynolds-averaged navier-stokes equation. Turbulence model for heat transfer analysis used RNG k-epsilon model. The wall function used enhanced wall function. Numerical local heat transfer coefficients were similar to the experimental tendency. Two design variables such as attack angle of rib (${\alpha}$), rib pitch-to-rib height ratio (p/e) were chosen. Operation condition considered bleeding ratio per bleed hole ($BR_{hole}$). A response surface were constructed by the design variables and operation condition. As a result, adjusted $R^2$ was more than 0.9. Optimization results of various objective function were similar to heat transfer in channel with and without bleed flow. But friction factor was lower than channel without bleed flow.