• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 하계학술대회 논문집 B
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• pp.681-683
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• 2003

The response surface method (RSM) became a popular meta modeling technique, but it always contains the approximation error. Instead of the conventional RSM, the moving least squares method (MLSM) was used to get more accurate models. The characteristics of a single-phase induction motor for the reciprocal compressor are analyzed by using the lumped method Program (LMP). The proposed method is applied to a single-phase induction motor for increasing the efficiency.

• 한국초전도ㆍ저온공학회논문지
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• 제6권1호
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• pp.18-21
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• 2004

This paper presents the optimization for shape design of a field coil used High Temperature Superconducting Motor (HTSM). In materials of HTSM, critical current Ic is more sensitive to magnetic fields directed along the axis or the unit cell ($B_{\bot}$). Thus, in the shape design of the HTS magnet. the maximum $B_{\bot}$ should be reduced to limit Ic. In order to reduce the maximum $B_{\bot}$, the shape optimization of the magnet, which is used for the field coil of HTSM, is necessary. It can be accomplished by using Response Surface Methodology (RSM). Finally, the result of RSM is verified by comparison with these experimental results.

• Journal of Microbiology and Biotechnology
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• 제16권9호
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• pp.1410-1415
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• 2006

Media components, including date juice, sodium acetate, peptone, and $K_{2}HPO_4$, which were screened by Plackett-Burman fractional factorial design, were optimized for lactic acid production from date juice using the response surface method (RSM). Sodium acetate, peptone (p<0.0001), and $K_{2}HPO_4$ (p=0.0029) were highly significant in influencing the lactic acid production. Close correlationship between predicted and experimental values was observed. When the optimum values of the parameters obtained through RSM (25.0 g/l date sugar, 15.0 g/l sodium acetate, 19.1 g/l peptone, and 4.7 g/l $K_{2}HPO_4$) were applied, lactic acid production (22.7 g/l) increased by 50.33%, compared with unoptimized media (15.1 g/l). The subsequent validation experiments confirmed the validity of the statistical model.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2009년도 제40회 하계학술대회
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• pp.754_755
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• 2009

This paper deals with the characteristics analysis & optimum design of Synchronous Reluctance Motor (SynRM) with anisotropy rotor using a coupled Finite Element Method (FEM) & Response Surface Methodology (RSM). The focus of this paper is the characteristics analysis & optimum design relative to the output power on the basis of rotor materials of a SynRM. The coupled Finite Elements Analysis (FEA) & Preisach model have been used to evaluate nonlinear solutions. Comparisons are given with characteristics of normal synchronous reluctance motor and those of anisotropy rotor SynRM (ANISO-SynRM), respectively. The feasibility of using RSM with FEM in practical engineering problem is investigated with computational examples and comparison between the fitted response and the results obtained from an analytical solution according to the design variables of rotor in anisotropy rotor SynRM.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2004년도 추계학술대회논문집
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• pp.972-975
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• 2004

In order to reduce the noise of BLDC motor, a systematic optimization procedure for rotor structure is presented. The noise index is defined as the sum of volume velocity of FE-model that are calculated at the dominant frequencies during dehydration process, which is based on the principle of radiation simple volume source. Then, the five design variables are selected to represent the shape and layout or rotor structure. This discrete design optimization problem for minimizing the noise index is solved by 3-level orthogonal array based effect analysis. Finally, the response surface method (RSM) combined optimization approach is employed for more refining the approximate optimum.

• 한국수산과학회지
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• 제48권6호
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• pp.839-848
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• 2015

This study examined the optimal salting drying method and processing conditions (salt concentration, curing time, dry temperature, and drying time) for preparing salted semi-dried common gray mullet (SSD-CGM) Mugil cephalus based on the moisture content, salinity, and overall acceptance using response surface methodology (RSM). The moisture content, salinity, and overall acceptance of SSD-CGM prepared with different salting methods revealed that dry salting was the optimal salting method for preparing high-quality SSD-CGM. The optimal drying method for preparing high-quality SSD-CGM based on the drying velocity and sensory color was hot air-blast drying. The results of the RSM program indicated that the optimal independent variables ($X_1$, salt concentration; $X_2$, curing time; $X_3$, dry temperature; $X_4$, drying time) based on the dependent variables ($Y_1$, moisture content; $Y_2$, salinity; $Y_3$, overall acceptance) for high-quality SSD-CGM were 5.6% for $X_1$, 2.7 h for $X_2$, $47.0^{\circ}C$ for $X_3$, and 8.5 h for $X_4$ for uncoded values. The predicted values of $Y_1$, $Y_2$, and $Y_3$ for SSD-CGM prepared under optimal conditions were 54.4%, 4.2%, and 6.3, respectively, while the experimental values were $55.2{\pm}1.0%$, $4.1{\pm}0.3%$ and $6.7{\pm}0.8$. The actual and predicted values did not differ.

• 대한기계학회논문집A
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• 제32권11호
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• pp.970-977
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• 2008

This paper deals with the dynamic characteristics of the shaft with impeller model which is the most important part in developing the resin mixing machine. Through reverse engineering, it is possible to make the shaft with impeller geometry model which is necessary vibration characteristic analysis by commercial impeller. The natural frequency analysis and structural analysis using finite element analysis software are performed on the imported commercial shaft with impeller model. The most important fundamental natural frequency of the shaft with impeller model is around 14.5 Hz, which well agrees with modal testing. The most effective design variables were extracted by ANOM(analysis of means) and pareto chart. This paper presents approximation 2nd order polynomial as design variables using RSM(response surface methodology). Generally, RSM take 2 or 3 design variables, but this method uses 5 design variables with table of mixed orthogonal array. Further more, the analyzed result of the commercial shaft with impeller is to be utilized for the structural design of resin chock mixing machine.

• Journal of the Korean Wood Science and Technology
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• 제39권1호
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• pp.75-85
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• 2011

이 연구에서는 백합나무($Liriodendron$ $tulipifera$)를 옥살산으로 전처리한 시료로부터 에탄올 생산 가능성을 조사하고, response surface methodology (RSM)를 도입하여 전처리 조건을 분석하고자 한다. 산농도, 전처리 시간, 반응 온도를 조절하여 $2^3$ factorial central composite experimental design을 바탕으로 각기 다른 15가지의 전처리 조건에서 시험하였다(central point에서 2반복). 전처리 후 고체 시료는 발효 균주인 $Pichia$ $stipitis$를 사용하여 동시당화발효로 에탄올 생산에 이용되었으며, 각각의 시료에서의 72시간에서의 에탄올 생산량(y,g/${\ell}$)이 최대값으로, 종속변수로써 RSM에 적용되었다. $180^{\circ}C$에서 40분간 0.013 g/g의 옥살산으로 처리한 시료가 가장 많은 양의 에탄올(9.7 g/${\ell}$)을 생산하였으며, response surface methodology 분석에 따르면, 전처리 조건에서 온도 인자가 ethanol에 가장 큰 영향을 미치는 것으로 제시되었으며, 결과는 수식화되어 나타내었다.

• 한국산학기술학회논문지
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• 제20권6호
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• pp.557-564
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• 2019

매입형 영구자석 동기전동기(IPMSM : Interior Permanent Magnet Synchronous Motor, 이하 IPMSM)의 회전자 자석의 크기 및 위치와 고정자 슬롯의 크기는 출력 토크 및 토크 리플률 특성에 영향을 준다. 본 논문은 반응표면분석법(RSM : Response Surface Methodology, 이하 RSM)을 이용한 IPMSM의 토크와 토크 리플률(ripplerate) 향상을 위한 최적설계 방법에 대해 다룬다. 토크 출력과 토크 리플률에 영향을 주는 설계변수에 대하여 Plackett-Burmann(PB, 이하 PB)의 민감도 분석을 통해 토크 출력 및 토크 리플 두 가지 목적함수에 영향이 큰 설계변수를 도출하였다. 도출된 목적함수로부터 2차 설계변수를 선정하였으며 중심합성계획법(CCD : Central Composite Design, 이하 CCD)에 따른 실험계획표 정의 및 해석결과를 통해 RSM의 2차 회귀모형 함수를 추정하였다. 2차 회귀모형함수는 분산분석표(ANOVA table)를 활용한 검증 기준을 통해 신뢰성을 가짐을 확인하였다. 실험계획표에 따른 해석은 유한요소법(FEM : Finite Element Method, 이하 FEM) 해석 소프트웨어인 JMAG을 통하여 실험 결과를 확인하였다. 최적화된 최종 설계변수를 적용한 IPMSM의 최적설계 결과는 토크와 토크 리플률을 모두 고려할 경우, 토크 출력은 11.5 % 증가하였으며 토크 리플률은 9.1 % 감소하였다.

• Geomechanics and Engineering
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• 제31권5호
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• pp.529-543
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• 2022

The lattice-spring-based synthetic rock mass model (LS-SRM) technique has been extensively employed in large open-pit mining and underground projects in the last decade. Since the LS-SRM requires a complex and time-consuming calibration process, a robust approach was developed using the Response Surface Methodology (RSM) to optimize the calibration procedure. For this purpose, numerical models were designed using the Box-Behnken Design technique, and numerical simulations were performed under uniaxial and triaxial stress states. The model input parameters represented the models' micro-mechanical (lattice) properties and the macro-scale properties, including uniaxial compressive strength (UCS), elastic modulus, cohesion, and friction angle constitute the output parameters of the model. The results from RSM models indicate that the lattice UCS and lattice friction angle are the most influential parameters on the macro-scale UCS of the specimen. Moreover, lattice UCS and elastic modulus mainly control macro-scale cohesion. Lattice friction angle (flat joint fiction angle) and lattice elastic modulus affect the macro-scale friction angle. Model validation was performed using physical laboratory experiment results, ranging from weak to hard rock. The results indicated that the RSM model could be employed to calibrate LS-SRM numerical models without a trial-and-error process.