• 신재생에너지
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• 제17권2호
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• pp.32-39
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• 2021

The optimal conditions for producing levulinic acid from office waste paper were investigated. Glucose was produced by enzymatic hydrolysis and its yield maximized by varying the soaking time of the substrate and amounts of enzyme and substrate. The optimal conditions to produce levulinic acid using the hydrolysate were determined by response surface methodology, with reaction temperature and catalyst (sulfuric acid) concentration as independent variables. The production model was assessed with an ANOVA regression analysis, and the results indicate its suitability for levulinic acid production (p, F, and lack-of-fit values were 0.003, 20.1, and 0.058, respectively). The optimal conditions were a reaction time of 56.27 min and catalyst concentration of 5.9% with a predicted yield of 2.588 g/L. We verified the findings under the same conditions and obtained 2.323 g/L of levulinic acid.

• Journal of Welding and Joining
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• 제26권1호
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• pp.63-68
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• 2008

This paper has aimed to prevent excessive heat input by controlling arc distribution and heat input capacity with pulse GTAW in order to improve weld quality in 0.08mm pressure gauge diaphragm and flange welding parts. A design of experiment was designed using Box-Behnken method to optimize a welding process. The pulse GTAW parameters such as pulse current, base current, pulse duty, frequency and welding speed were set to input variables while hydraulic pressure that represents welding characteristics in diaphragm and flange joint were set to output variables. Based on the test result, a second regression equation was obtained between input and output variables and turned out significant. Besides, an influence of parameters has been confirmed through response surface analysis using the second-order regression equation and optimum welding condition was obtained through a grid-search method. The optimum welding condition was set to pulse current 84.4(A), base current 29.6(A), pulse duty 58.8(%), frequency 10(%), and welding speed 596(mm/min). Then, decent bead shape was acquired with no excessive heat input under the $2.3kgf/cm^2$ of hydrostatic pressure.

• 공업화학
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• 제24권3호
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• pp.299-304
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• 2013

Box-Behnken design (BBD) 방법은 일체형 흡착제의 합성조건을 최적화하기 위해 사용되었다. 단량체(monomer)의 양(mL), 가교제(crosslink)의 양(mL), porogen의 양(mL)에 대한 효과를 조사했다. 실험 값은 여러 회귀분석 및 통계적인 방법에 의해 2차 다항 방정식을 얻었다. 이 모델의 결정계수($R^2$)는 0.9915이고 결정계수의 p value는 0.0001보다 작은 값으로 모델이 매우 유의미하다는 것을 나타낸다. RSM 모델에 의해 예측된 최적의 일체형 흡착제 합성조건은 단량체의 양 0.30 mL, 가교제의 양 1.40 mL, porogen의 양 1.47 mL이고 이 조건 아래서 합성된 일체형 흡착제의 양은 2120.15 mg이다. 이 결과는 이 모델이 적절하다는 것을 나타내었다.

• 한국식품영양학회지
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• 제35권6호
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• pp.473-480
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• 2022

This study aimed to develop an optimal processing method for the production of apple-mango jelly for domestic suppliers, by analyzing the quality attributes of the jelly. According to the central composite design, a total of 11 experimental points were designed including the content of apple-mango juice (X₁), and the sugar content (X₂). The responses were analyzed including the color values (CIE Lab and color difference), physicochemical properties (water activity, sweetness, pH, and total acidity), and textural properties (hardness and gel strength). Regression analysis was conducted, except for total acidity, and showed no significant difference for all the experimental points (p<0.05). Quadratic model was derived for all responses with an R square value ranging from 0.8590 to 0.9978. Based on regression model, the appropriate mixing ratio of apple-mango jelly was found to be 31.11% of apple mango juice and 14.65% of sugar. Through this study, the possibility for developing jelly product using apple-mango was confirmed, and it is expected that these findings will contribute to the improvement of the agricultural industry.

• 대한환경공학회지
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• 제39권12호
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• pp.689-697
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• 2017

자성기반 가중응집제를 적용한 새로운 응집/침전법을 정수처리공정에 적용하기 위한 기초연구로써 반응표면분석법(RSM)을 이용하여 반응에 큰 영향을 주는 것으로 알려진 pH, 일반 응집제 사용량, 가중 응집제 사용량에 관한 최적의 반응조건을 도출하고자 하였다. 이때, 일반 응집제는 Poly aluminium chloride (PAC)를 사용하였고 가중응집제는 Magnetite 기반의 자성체를 사용하였으며, Kaolin으로 제조한 합성원수를 Jar-tester를 이용하여 응집실험을 실시하였다. 사전에 Box-Behnken design에 의하여 계획된 17가지 실험조건으로 상기 3개의 독립변수들이 반응변수(탁도 제거율 및 플럭의 평균 침강속도)에 미치는 영향과 최적 반응을 유도하기 위한 독립변수의 최적치를 얻고자 하였다. 실험 후에는 2가지 반응변수의 이차 회귀모델을 도출하였으며, 이를 이용하여 독립변수와 반응변수 간의 상관관계를 도출하고자 반응표면분석을 실시하였다. 반응표면 분석결과 탁도 제거율 및 플럭의 평균 침강속도에 대한 $R^2$값은 0.9909, 0.8295이었고 두 가지 반응변수를 모두 고려한 최적의 반응조건은 pH 7.4, PAC 사용량 38 mg/L, 가중응집제 사용량 1,000 mg/L이었으며 이때 탁도 제거율 97%, 평균 침강속도가 35 m/h 이상의 효율에 도달하였다.

• 공업화학
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• 제29권3호
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• pp.270-277
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• 2018

반응 표면법(RSM)과 Box-Behnken 설계(BBD) 통계 방법을 사용하여 폐감귤박으로 만든 활성탄(WCAC)에 의한 염료 Eosin Y의 흡착을 검토하였다. 실험은 Eosin Y의 농도(Conc. : 30~50 mg/L), 용액 온도(Temp. : 293~313 K) 및 흡착제 투여량(Dose : 0.05~0.150 g/L)의 3가지 입력 변수를 가진 BBD에 따라 수행하였다. 염료 Eosin Y 제거에 대해 얻어진 2차 다항식 모델의 회귀분석 결정계수($R^2$) 값이 0.9851이고 적합성 결여(Lack of fit)의 p 값은 0.342로 실험 데이터는 2차 다항식 모델에 잘 부합하였다. 염료 농도 50 mg/L, 온도 333 K 및 흡착제 투여량 0.1056 g에서 최적 염료 흡착량 59.3 mg/g이 얻어졌다. WCAC에 의한 Eosin Y의 흡착공정은 유사 2차 속도식에 의해 잘 기술되었으며, 등온 실험결과는 Langmuir 모델식을 따랐다.

• Natural Product Sciences
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• 제22권4호
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• pp.270-274
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• 2016

Green tea, the leaves of Camellia sinsneis (Theaceae), is generally acknowledged as the most consumed beverage with multiple pharmacological functions including antioxidant activity. This study was performed to analyze the effect of extraction conditions of green tea on its antioxidant effects using DPPH assay. Three extraction factors such as extraction solvent (EtOH, 0 - 100%), extraction time (3 - 15 min) and extraction temperature ($10-70^{\circ}C$) were analyzed and optimized extraction condition for antioxidant activity of green tea extract (GTE) was determined using response surface methodology with three-level-three-factor Box-Behnken design (BBD). Regression analysis showed a good fit of data and the optimal conditions of extraction were found to be 57.7% EtOH, 15 min and $70^{\circ}C$. Under this condition, antioxidant activity of experimental data was 88.4% which was almost fit to the ideal value of 88.6%. As epigallocatechin gallate (EGCG) is known for the major ingredient for antioxidant activity of green tea, we investigated the effect of EGCG on antioxidant activity of GTE. EGCG showed antioxidant activity with the $IC_{50}$ value of $4.2{\mu}g/ml$ and a positive correlation was observed between EGCG content and the antioxidant activity of GTE with $R^2=0.7134$. Interestingly, however, GTE with 50 - 70% antioxidant activity contain less than $1.0{\mu}g/ml$ of EGCG, which is much lower than $IC_{50}$ value of EGCG. Therefore, we suppose that EGCG together with other constituents contribute to antioxidant activity of GTE. Taken together, these results suggest that green tea is more beneficial than EGCG alone for antioxidant ability and optimal extraction condition of green tea will be useful for the development of food and pharmaceutical applications

• 한국전산구조공학회논문집
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• 제30권1호
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• pp.39-46
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• 2017

본 논문에서는 반응표면법과 다목적최적화 기법을 이용한 유한요소모델개선기법의 절차를 제안하고 이를 저층의 철근콘크리트건물의 모델개선에 적용하였다. 대상건물은 전단벽 신설 및 댐퍼부착을 위한 부재의 강재보강을 통해 내진보강이 이루어진 건물로서 보강전후에 소형 가진기를 이용한 진동실험을 실시하여 동특성을 구하였다. 대상건물의 개선에 사용된 변수는 기존콘크리트, 신규타설된 콘크리트, 조적의 탄성계수, 신축줄눈부의 스프링계수, 강재보강된 부재의 유효강성비이다. 보강전후 건물의 초기모델을 구축한 후 중심합성법에 따라 개선변수의 값을 변화시키면서 얻은 해석결과를 통해 고유진동수의 오차와 모드형상의 오차를 나타내는 2개의 반응함수를 구하고, 이를 다목적최적화의 목적함수로 사용하였다.

• 한국수산과학회지
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• 제57권1호
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• pp.32-40
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• 2024

The aim of this research was to apply a method designed to derive the factors influencing total ammonia removal when operating an additional pretreatment system at Aquaponics. The Box-Behnken method, among response surface analysis methods was used to characterize and determine the optimal nitrification conditions when operating the pretreatment system. Among the mathematically and statistically calculated prediction equations, the total ammonia nitrogen concentration Y1 measured on day 8 was derived as Y₁=-195.8+2.23X₁+42.9X₂+47.5X₃+0.1856X₁²-1.380X₁X₂-1.770X₁X₃, and the time taken to reach the maximum total ammonia nitrogen concentration during the experiment period was derived as Y₂=271-5.04X₁+60.5X₂-64.8X₃+0.1654X₁²+6.54X₃²-0.600X₁X₃-9.00X₂X₃. The coefficients of determination of the regression models of Y₁ and Y₂ were 93.99% and 94.46%, respectively. The modified coefficients of determination were also high, at 89.48% and 88.91%, respectively. The prediction coefficients of determination of Y₁ and Y₂, were 70.68% and 62.11%, respectively, which was relatively lower than that of Y1, but still indicated a reliable prediction performance.

• Structural Engineering and Mechanics
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• 제83권3호
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• pp.327-340
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• 2022

The Collapse Margin Ratio (CMR) is a notable index used for seismic assessment of the structures. As proposed by FEMA P695, a set of analyses including the Nonlinear Static Analysis (NSA), Incremental Dynamic Analysis (IDA), together with Fragility Analysis, which are typically time-taking and computationally unaffordable, need to be conducted, so that the CMR could be obtained. To address this issue and to achieve a quick and efficient method to estimate the CMR, the Artificial Neural Network (ANN), Response Surface Method (RSM), and Adaptive Neuro-Fuzzy Inference System (ANFIS) will be introduced in the current research. Accordingly, using the NSA results, an attempt was made to find a fast and efficient approach to derive the CMR. To this end, 5016 IDA analyses based on FEMA P695 methodology on 114 various Reinforced Concrete (RC) frames with 1 to 12 stories have been carried out. In this respect, five parameters have been used as the independent and desired inputs of the systems. On the other hand, the CMR is regarded as the output of the systems. Accordingly, a double hidden layer neural network with Levenberg-Marquardt training and learning algorithm was taken into account. Moreover, in the RSM approach, the quadratic system incorporating 20 parameters was implemented. Correspondingly, the Analysis of Variance (ANOVA) has been employed to discuss the results taken from the developed model. Additionally, the essential parameters and interactions are extracted, and input parameters are sorted according to their importance. Moreover, the ANFIS using Takagi-Sugeno fuzzy system was employed. Finally, all methods were compared, and the effective parameters and associated relationships were extracted. In contrast to the other approaches, the ANFIS provided the best efficiency and high accuracy with the minimum desired errors. Comparatively, it was obtained that the ANN method is more effective than the RSM and has a higher regression coefficient and lower statistical errors.