• 전기학회논문지P
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• 제54권1호
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• pp.20-29
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• 2005

This paper presents an implementation of efficiency optimization of reluctance synchronous motor (RSM) using a neural network (NN) with a direct torque control (DTC). The equipment circuit considered with iron losses in RSM is analyzed theoretically, and the optimal current ratio between torque current and exiting current component are derived analytically. For the RSM driver, torque dynamic can be maintained with DTC using TMS320F2812 DSP Controller even with controlling the flux level because a torque is directly proportional to the stator current unlike induction motor. In order to drive RSM at maximum efficiency and good dynamics response, the Backpropagation Neural Network is adapted. The experimental results are presented to validate the applicability of the proposed method. The developed control system show high efficiency and good dynamic response features with 1.0 [kW] RSM having 2.57 inductance ratio of d/q.

• 한국기계가공학회지
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• 제10권5호
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• pp.117-124
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• 2011

Tire's performance plays important roles in improving vehicle's performances. Tire makers carry out a lot of research to improve tire's performance. They are making effort to meet multi purposes using various optimization methods. Recently, the tire makers perform the shape optimization using approximation models, which are surrogate models obtained by statistical method. Generally, the reason why we increase sampling points during optimization process, is to get more reliable approximation models, but the more we adopt sampling points, the more we need time to test. So it is important to select approximation model and proper number of sampling points to balance between reliability and time consuming. In this research, we studied to compare two kind cases for a approximation construction. First, we compare RSM and Kriging which are Curve Fitting Method and Interpolation Method, respectively. Second, we construct approximation models using three different number of sampling points. And then, we recommend proper approximation model and orthogonal array adopt tire's design optimization.

• 공업화학
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• 제31권1호
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• pp.19-24
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• 2020

본 연구에서는 coconut oil과 Tween-Span계 혼합계면활성제를 사용하여 O/W 유화액을 제조하고 유화안정성을 향상시키기 위한 유화조건을 최적화하였다. 이를 위해 최적화과정은 CCD-RSM (central composite design model-response surface methodology)를 이용하였다. 계량인자로는 HLB (hydrophile-lipophilie balance) value, 혼합계면활성제 첨가량, 유화속도 등을 설정하였으며, 반응치로는 평균액적크기(MDS), 유화액의 유화안정도지수(ESI), 열적 불안정도지수(TII)를 설정하였다. CCD-RSM 분석결과 3가지 반응치를 동시에 만족하는 최적조건으로 HLB value (9.1), 혼합계면활성제 첨가량(8.7 wt.%), 유화속도(6,200.8 rpm)로 산출되었으며, CCD-RSM 분석예상값은 MDS (151.0 nm), 유화액의 ESI (99.86%), TII (3.17%)로 나타났다. 이 조건에서의 실제실험 결과 오차율은 3.5% 이하로 나타나 본 연구에서의 O/W 유화액 제조과정에 CCD-RSM 최적화 분석을 적용할 경우 비교적 높은 유의수준의 결과를 얻을 수 있었다.

• 공업화학
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• 제32권2호
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• pp.168-173
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• 2021

본 연구에서는 마이크로웨이브 에너지를 이용하여 항산화성분을 다량 함유하고 있는 레몬그라스로부터 플라보노이드 성분을 추출하였다. 또한 반응표면분석법 중 중심합성계획모델을 이용하여 추출공정을 최적화하였다. 추출공정의 독립변수로는 주정/초순수의 부피비, 마이크로웨이브 조사시간, 마이크로웨이브 조사세기를 설정하였고, 반응치는 추출수율과 플라보노이드 함량을 확인하였다. CCD-RSM 분석 결과 최적조건인 주정/초순수 부피비(56.3 vol.%), 마이크로웨이브 조사시간(6.1 min), 마이크로웨이브 조사세기(574.6 W)에서 추출수율(17.2%)와 플라보노이드 함량(44.7 ㎍ QE/mL dw)의 결과를 얻는 것으로 나타났다. 이때 종합만족도는 D = 0.8562이고, P-value는 추출수율(0.037)과 플라보노이드 함량(0.002)으로 나타났다. 이 조건에서의 실제실험 결과 오차율은 5.0% 이하로 나타나 높은 유의수준의 결과를 얻을 수 있었다.

• Preventive Nutrition and Food Science
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• 제14권2호
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• pp.129-133
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• 2009

Salicornia herbacea is rich in natural minerals, dietary fibers, and potentially health-promoting phenolic compounds. In this paper, an experimental design was applied for the optimization of the ultrasound-assisted extraction of phenolic compounds from lyophilized Salicornia herbacea powder. The experiments were conducted in accordance with a five-level, three-variable central composite rotatable design (CCRD), and the effects of solvent concentration, extraction time, and extraction temperature were evaluated via response surface methodology (RSM). The optimal extraction conditions were as follows: ethanol concentration, 76.80%; extraction time, 20 min; and extraction temperature, $33.21^{\circ}C$; and the solvent concentration was the most significant parameter in this process, under which the predicted total phenolic content was 49.91 mg GAE/g sample.

• 한국유체기계학회 논문집
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• 제15권3호
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• pp.39-45
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• 2012

In this study, optimization of the impeller and design of volute were carried out in order to improve the performance of a centrifugal pump. Design parameters from vane plane development for impeller design were selected, and effect of the design parameters on the performance of the pump was analyzed by using Response Surface Methodology(RSM) to optimized impeller. In addition, total pump design method was suggested by designing volute which was suitable for the optimized impeller through volute design where Stepanoff theory was applied and numerical analysis.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2008년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
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• pp.65-67
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• 2008

An adaptive response surface method with Latin Hypercube sampling strategy is employed to optimize a magnet pole shape of large scale BLDC motor to minimize the cogging torque. The proposed algorithm consists of the multi-objective Pareto optimization and ($1+{\lambda}$) evolution strategy to find the global optimal points with relatively fewer sampling data. In the adaptive RSM, an adaptive sampling point insertion method is developed utilizing the design sensitivities computed by using finite element method to set a reasonable response surface with a relatively small number of sampling points. The developed algorithm is applied to the shape optimization of PM poles for 6MW BLDC motor.

• Food Science and Biotechnology
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• 제18권4호
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• pp.867-871
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• 2009

Response surface methodology (RSM) was used for the optimization of antioxidant capacity in gardenia extracts. The antioxidant capacities of gardenia fruit extracts were investigated by ferric reducing ability (FRA) and 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging activity (RSA) assays. The optimum extraction parameters for the strongest antioxidant capacity were the ethanol concentration (EtOH) of 48.9%, extraction temperature of $72.9^{\circ}C$, and extraction time of 29.9 min. Analysis of variance (ANOVA) showed that the quadratics of EtOH and extraction temperature had highly significant effect on the antioxidant capacity (p<0.001). The antioxidant capacity was correlated with contents of bioactive components [crocin, geniposide, and total phenolic (TP) compounds] in gardenia extracts and mainly attributed to the content of the TP compounds.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2008년도 춘계학술대회논문집
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• pp.202-205
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• 2008

This paper presents an optimization of permanent magnet (PM) in a brushless dc (BLDC) motor using the response surface methodology (RSM). Size and angle of the PM are optimized to minimize the cogging torque, while reducing the magnitude of harmonic at a dominant frequency and maintaining the operating torque. A fitted RS model is constructed by verifying the high reliability of the total variation and the variation of estimated error. The optimized design is validated by carrying out the reanalysis and comparing to the initial model using the nonlinear transient finite element analysis.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2008년도 제39회 하계학술대회
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• pp.701-702
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• 2008

An adaptive response surface method with Latin Hypercube sampling strategy is employed to optimize a magnet pole shape of large scale BLDC motor to minimize the cogging torque. The proposed algorithm consists of the multi-objective Pareto optimization and (1+${\lambda}$) evolution strategy to find the global optimal points with relatively fewer sampling data. In the adaptive RSM, an adaptive sampling point insertion method is developed utilizing the design sensitivities computed by using finite element method to get a reasonable response surface with a relatively small number of sampling points. The developed algorithm is applied to the shape optimization of PM poles for 6 MW BLDC motor, and the cogging torque is reduced to 19% of the initial one.