• 제목/요약/키워드: rsm1

검색결과 637건 처리시간 0.026초

마이크로웨이브 에너지를 이용한 레몬그라스로부터 플라보노이드 성분의 추출: CCD-RSM을 이용한 최적화 (Extraction of Total Flavonoids from Lemongrass Using Microwave Energy: Optimization Using CCD-RSM)

  • 유봉호;장현식;이승범
    • 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.

천연 혼합유화제를 이용한 O/W 유화액의 제조 : 중심합성계획모델을 이용한 유화안정성 최적화 (Emulsification of O/W Emulsion Using Natural Mixed Emulsifiers : Optimization of Emulsion Stability Using Central Composite Design-Reponse Surface Methodology)

  • 홍세흠;천추이웨이;이승범
    • 공업화학
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    • 제34권3호
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    • pp.299-306
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    • 2023
  • 본 연구에서는 무환자와 알팔파로부터 추출한 천연계면활성제를 유화제로 사용하여 반응표면분석법 중 중심합성계획모델(CCD-RSM)을 이용한 O/W 유화 제조공정의 최적화를 수행하였다. 공정변수로는 혼합유화제 첨가량, 천연유화제 혼합비율(무환자 사포닌/알팔파 사포닌), 유화시간으로 설정하였고 반응치로는 유화액의 유화안정화지수, 평균입자크기, 항산화능(DPPH 라디칼 소거활성)으로 설정하였다. 기초실험을 통한 계량인자범위는 혼합유화제 첨가량(12~14 wt%), 천연유화제 혼합비율(30~70%), 유화시간(20~30 min)으로 설정하여 CCD-RSM을 이용하여 최적화한 결과, O/W 유화 제조공정의 최적조건으로 혼합유화제 첨가량은 13.2 wt%, 천연유화제 혼합비율은 44.2%, 유화시간은 25.8 min으로 나타났으며, 이 조건에서 예측된 반응치로서 유화액의 유화안정도지수(ESI)는 88.7%, 평균입자크기(MDS)는 815.5 nm, 항산화능은 38.7%으로 계산되었다. 이를 실험을 통해 확인한 결과 유화액의 ESI는 90.6%, MDS는 830.2 nm, 항산화능은 39.6%으로 나타났으며 평균오차율은 2.1%이었다. 따라서 CCD-RSM을 실제 유화 제조에 적용하여 만족스러운 O/W 유화제조 공정조건을 얻을 수 있었다.

반응표면분석법을 활용한 문어(Octopus vulgaris) 조미김(Pyropia yezoensis)의 제조공정 최적화 (Processing Optimization of Seasoned Laver Pyropia yezoensis with Concentrates of Octopus Octopus vulgaris Cooking Effluent Using Response Surface Methodology)

  • 김도엽;강상인;정우철;이정석;허민수;김진수
    • 한국수산과학회지
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    • 제52권4호
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    • pp.311-320
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    • 2019
  • This study aimed to optimize mixing conditions (adding amount of squid skin and sea tangle Saccharina japonica) for concentrates of octopus Octopus vulgaris cooking effluent (COCE) and roasting conditions (temperature and time) of seasoned Laver Pyropia yezoensis with concentrates of octopus cooking effluent (SL-COCE) using response surface methodology (RSM). The results of RSM program for COCE showed that the optimum independent variables ($X_1$, squid skin amount; $X_2$, sea tangle amount) based on the dependent variables ($Y_1$, odor intensity; $Y_2$, amino-N content; $Y_3$, sensory overall acceptance) for high-quality COCE were 0.53% (w/w) for $X_1$ and 0.48% (w/w) for $X_2$ for uncoded values. The results of the RSM program for SL-COCE showed that the optimum independent variables ($X_1$, roasted temp.; $X_2$, roasted time) based on the dependent variables ($Y_1$, burnt odor intensity; $Y_2$, water activity; $Y_3$, sensory overall acceptance) for high-quality SL-COCE were $344^{\circ}C$ for $X_1$ and 8 sec for $X_2$ for uncoded values. The SL-COCE prepared under optimum procedure was superior in sensory overall acceptance to commercial seasoned laver.

Effects of Various Mechanical and Chemical Treatments of Rapeseed Meal on the Performance of Broilers

  • Khan, M.Z.;Mahmood, S.;Sarwar, M.;Nisa, M.;Gulzar, F.
    • Asian-Australasian Journal of Animal Sciences
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    • 제11권6호
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    • pp.708-712
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    • 1998
  • One hundred and eighty, 1-day old broiler chicks, randomly divided into 15 replicates of 10 brids each were employed to six treatment rations (A, B, C, D, E and F). Rapeseed meal (RSM) with or without treatment was incorporated in the rations at 20 percent level in lieu of soybean meal. The birds in group A were fed soybean based ration and those in group B, C, D, E and F were given ration containing untreated, solvent extracted, water treated, autoclaved and ferrous sulphate treated RSM, respectively. Presence of RSM in the rations whether untreated or treated, significantly reduced weight gain and feed consumption of the birds compared with those of control group but efficiency of feed utilization, dressed weight, dressing percentage and weights of internal organs amongst the groups remained unaffected. The size of thyroid galnds of the broilers using the meal was significantly larger than those having ration without RSM. The only exception was that the birds having solvent extracted meal had similar thyroid gland relative weight as those of control group indicating reduced antinutritional effect of isothiocyanates content due to solvent extraction of the meal.

Effect of Feeding High Glucosinolate Rapeseed Meal to Laying Japanese Quail

  • Elangovan, A.V.;Verma, S.V.S.;Sastry, V.R.B.;Singh, S.D.
    • Asian-Australasian Journal of Animal Sciences
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    • 제14권9호
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    • pp.1304-1307
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    • 2001
  • The laying performance of Japanese quails fed graded levels of high glucosinolate ($92.5{\mu}mole/g$) rapeseed meal (RSM) was assessed. One hundred and twenty Japanese quails aged 1 day-old were assigned at random to four dietary treatments consisting of 0, 50, 75 or 100 g/kg RSM in the diet replacing part of the soybean meal and de-oiled rice bran in a standard quail ration. 12 female representative quails from each diet were selected at random and housed in individual cages from 7-20 wk of age. The egg production, feed intake and FCR was comparable among the different dietary groups. The egg quality characteristics, organoleptic evaluation of boiled eggs as well as the haematological (haemoglobin, total erythrocyte count, total leucocyte count) and biochemical (glucose, protein, cholesterol, aspartate amino transferase, alanine amino transferase and alkaline phosphatase) constituents did not differ significantly among the groups. The gross and histopathological studies of vital organs did not reveal any appreciable changes. The feed cost was reduced by the incorporation of RSM in the diet, but only the production cost of quails fed the 75 g/kg RSM was lower in comparison to other groups. In the present study, the laying potential of Japanese quail was well-maintained up to the 100g/kg dietary level of rapeseed meal.

신경망을 이용한 리럭턴스 동기전동기(Reluctance Synchronous Motor)의 인덕턴스 보상에 관한 연구 (A Study on Inductance compensation of Reluctance Synchronous Motor with Neural Network)

  • 김민회;김남훈;백원식;박홍일;김동희
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2002년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
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    • pp.151-154
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    • 2002
  • This paper presents an implementation of high-dynamic performance control system of Reluctance Synchronous Motor(RSM) drives for an industrial servo drive system with direct torque control(DTC). The estimation of the stator flux and torque are obtained by using flux observer which a saturated inductance Ld and Lq of d-q axises can be compensated by using the neural network from measuring the modulus and angle of the stator current space vector. To obtain fast torque response and maximum torque/current, the reference command flux is ensured by imposing Ids=Iqs. The control strategy is proposed to fast response and optimal efficiency for RSM drive. The developed digitally high-performance control system are shown a good response characteristic of control results and high performance features using 1.0kW RSM.

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반응 표면 분석을 이용한 클로렐라 쌀 머핀의 개발 (Development of Rice Muffin with Chlorella using Response Surface Methodology)

  • 기미라;김래영;전순실
    • 동아시아식생활학회지
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    • 제17권1호
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    • pp.51-57
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    • 2007
  • The aim of this study was to improve rice muffin quality with sorbitol using response surface methodology(RSM). Response surface experimental design was made by central composite design using several independent factors. In preliminary experiment of chlorella rice muffin, rice flour(RF), chlorella(CH) and sorbitol(SO) were chosen as independent factors. Response factor was the overall acceptability obtained from sensory evaluation. The regression model equation could be predicted as $OV=6.70-0.45CH-0.44RF^2-0.81CH^2-0.60SO^2$. The optimal conditions for chlorella rice muffin substituted with sorbitol were determined to be 60.8% of RF, 4.7% of CH and 35.45% of SO. Rice muffin was superior to flour muffin in sensory evaluation using the prediction value derived from RSM. Therefore, the optimum condition of muffin could be developed by RSM.

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A High-Performnce Sensorloss Control System of Reluctance Synchronous Motor with Direct Torque Control by Consideration of Nonlinerarly Inductances

  • Kim, Min-Huei;Kim, Nam-Hun;Baik, Won-Sik
    • Journal of Power Electronics
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    • 제2권2호
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    • pp.146-153
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    • 2002
  • this paper presents an implementation of digital control system of speed sensorless for Reluctance Synchronous Motor (RSM) drives with direct torque control (DTC). The problem of DTC for high-dynamic performance RSM drive is generating a nonlinear torque due to a saturated nonlinear inductance curve with various load currents. The control system consists of stator flux observer, compensating inductance look-up table, rotor position/speed/torque estimator, two hysteresis band controllers, an optimal switching look-up table, IGBT voltage source unverter, and TMS320C31 DSP controller. The stator flux observer is based on the combined voltage and current model with stator flux feedback adapitve control that inputs are the compensated inductances, current and voltage sensing of motor terminal with estimated rotor angle for wide speed range. The rotor position is estimated rotor speed is determined by differentiation of the rotor position used only in the current model part of the flux observer for a low speed operation area. It does not requrie the knowledge of any montor paramenters, nor particular care for moter starting, In order to prove the suggested control algorithm, we have simulation and testing at actual experimental system. The developed sensorless control system is showing a good speed control response characterisitic result and high performance features in 20/1500 rpm with 1.0Kw RSM having 2.57 ratio of d/q reluctance.

직접토크제어에 의한 위치센서 없는 리럭턴스 동기전동기의 위치제어 시스템 (A Position Sensorless Motion Control System of Reluctance Synchronous Motor with Direct Torque Control)

  • 김민회;이복용;김경식
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2002년도 학술대회 논문집 전문대학교육위원
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    • pp.135-141
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    • 2002
  • This paper presents an implementation of high-dynamic performance of position sensorless motion control system of Reluctance Synchronous Motor(RSM) drives for an industrial servo system with direct torque control(DTC), The problems of DTC for high-dynamic performance and maximum efficiency RSM drive due to a saturated stator linkage flux and nonlinear inductance curve with various load currents, The accurate estimation of the stator flux and torque are obtained using stator flux observer of which a saturated inductance Ld and Lq can be compensated by adapting from measurable the modulus and angle of the stator current space vector. To obtain fast torque response and maximum torque/current with varying load current, the reference command flux is ensured by imposing Ids=Iqs. This control strategy is proposed to fast response and optimal efficiency for RSM drive. In order to prove rightness of the suggested control algorithm, the actual experiment carried out at ${\pm}$20 and ${\pm}$1500 rpm. The developed digitally high-performance control system are shown some good response characteristic of control results and high performance features using 1.0kW RSM of which has 2.57 Ld/Lq salient ratio.

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An integrated method of flammable cloud size prediction for offshore platforms

  • Zhang, Bin;Zhang, Jinnan;Yu, Jiahang;Wang, Boqiao;Li, Zhuoran;Xia, Yuanchen;Chen, Li
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제13권1호
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    • pp.321-339
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    • 2021
  • Response Surface Method (RSM) has been widely used for flammable cloud size prediction as it can reduce computational intensity for further Explosion Risk Analysis (ERA) especially during the early design phase of offshore platforms. However, RSM encounters the overfitting problem under very limited simulations. In order to overcome the disadvantage of RSM, Bayesian Regularization Artificial Neural (BRANN)-based model has been recently developed and its robustness and efficiency have been widely verified. However, for ERA during the early design phase, there seems to be room to further reduce the computational intensity while ensuring the model's acceptable accuracy. This study aims to develop an integrated method, namely the combination of Center Composite Design (CCD) method with Bayesian Regularization Artificial Neural Network (BRANN), for flammable cloud size prediction. A case study with constant and transient leakages is conducted to illustrate the feasibility and advantage of this hybrid method. Additionally, the performance of CCD-BRANN is compared with that of RSM. It is concluded that the newly developed hybrid method is more robust and computational efficient for ERAs during early design phase.