• Title/Summary/Keyword: central composite design model

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Determination of Primary Working Area based on Working Comfort (사용 편의성에 기초한 주작업영역의 결정)

  • 박성준;정의승
    • Proceedings of the ESK Conference
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    • 1995.04a
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    • pp.155-164
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    • 1995
  • For efficient operation, vital hand controls must be easily controlled by the operator from his normal working position. The primary working area based on operator's working comfort was developed to serve as a design guideline tothe control panel layout. Ten male subjects participated in the experiment in which working comfort was measured for two controls of a lever type control and a knob type control with respect to the frontal and sagittal distances from the body center and the slope of a workplace. The response surface methodolgy using a central composite design was employed to develop a prediction model for perceived working comfort of each control. Both controls have a similar pattern of comfortable working area, but the lever type control has slightly broader working area. The concept of the proposed working area is a significant extension to the conventional working area such as Farley's or Squires' curves. It is shown that the distance toa control device and the slope have a quadratic effect to working comfort. It is noticeable that comfortable working area exists outside the conventional working area. The result of the response surface analysis also indicated that a little slope of about 15 .deg. for a control panel improves working comfort.

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Optimal Mixing Conditions of Smoothie Added Small Black Soybean Using Response Surface Methodology (쥐눈이콩 첨가 스무디의 제조조건 최적화)

  • Joo, Na-Mi;Park, So-Yeon
    • Korean journal of food and cookery science
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    • v.25 no.3
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    • pp.337-344
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    • 2009
  • The principal objective of this study was to determine the optimal mixing conditions of three different amounts of small black soybeans, sugar, and plain yogurt, for the preparation of a small black soybean smoothie. The experimental design utilized herein was based on the Central composite design methodology of response surface, which included 16 experimental points, including 2 replicates for the small black soybeans, sugar, and plain yogurt. The physiochemical and sensory properties of the test were measured, and these values were applied to the mathematical models. A canonical form and perturbation plot showed the influence of each ingredient on the mixed final product. The L value and a value decreased with increasing quantities of small black soybeans, but the b values increased with greater additions of small black soybeans. Sweetness increased with increasing amount of added sugar. The results of sensory evaluation showed very significant values for color (p<0.01), taste (p<0.05) and overall quality (p<0.05) in the predicted model. As a result, the optimum formulations by numerical and graphical methods were calculated as follows: small black soybean 79.46 g, plain yogurt 275.07 g, sugar 21.20 g.

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

  • Ki, Mi-Ra;Kim, Rae-Young;Chun, Soon-Sil
    • Journal of the East Asian Society of Dietary Life
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    • v.17 no.1
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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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Optimization of ultrasound-assisted extraction of glycyrrhizic acid from licorice using response surface methodology

  • Jang, Seol;Lee, A. Yeong;Lee, A. Reum;Choi, Goya;Kim, Ho Kyoung
    • Integrative Medicine Research
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    • v.6 no.4
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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.

Optimization of Mixing Condition of Cabbage Cream Soup (쌀가루를 첨가한 양배추 크림수프의 제조조건 최적화)

  • Park, So-Yeon;Pyo, Seo-Jin;Joo, Na-Mi
    • Journal of the Korean Society of Food Culture
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    • v.25 no.1
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    • pp.54-60
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    • 2010
  • The principal objective of this study was to determine the optimal mixing condition of two different amounts of cabbage and rice flour for the preparation of a cabbage cream soup. The experimental design was based on the central composite design methodology of response surface, which included 10 experimental points, including two replicates for the cabbage and rice flour. Physiochemical and sensory properties were measured, and these values were applied to the mathematical models. A canonical form and perturbation plot showed the influence of each ingredient on the mixed final product. Water content and pH values increased with increasing quantities of rice flour. Neither cabbage or rice flour affected the L and a values, but the b value increased with greater quantity of both ingredients. Viscosity increased with increasing added cabbage. Sensory evaluation results were significant in the predicted model for flavor (p<0.05), concentration (p<0.01) and overall quality (p<0.01). As a result, the optimum formulations by numerical and graphical methods were calculated as 111.79 g cabbage and 8.99 g rice flour.

Flat-type 와이퍼 블레이드의 내구 신뢰성 향상을 위한 연구

  • Jeong, Won-Seon;Seo, Yeong-Gyo;Kim, Hong-Jin;Jeong, Do-Hyeon
    • Proceedings of the Korean Reliability Society Conference
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    • 2011.06a
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    • pp.107-113
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    • 2011
  • The windshield wiper consists of 4 parts: a blade, an arm, a linkage and a motor. The wiper blade makes contact with the windshield and is designed to be operated normally at an angle of 30~50 degrees to the front glass. If the contact pressure between the wiper blade and windshield surface is too high, noise and wear of the rubber will result. On the other hand, if the contact pressure is too low, the performance will do badly, since foreign substances such as dust and stains will not be removed well. The pressure and friction of the wiper blade has a great influence on its effectiveness in cleaning the front window. This is due to the contact of the rubber with the window. This paper presents the dynamic analysis method to estimate the performance of the flat type blade of the wiper system. The blade has a nonlinear characteristic since the rubber is an incompressible hyper-elastic and visco-elastic material. Thus, Structural dynamic analysis using a complex contact model for the blade is performed to find the characteristics of the blade. The flexible multi-body dynamic model is verified by the comparison between test and analysis result. Also, the optimization using the central composite design table is performed.

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Optimization of Muffin preparation upon Addition of Jerusalem Artichoke Powder and Oligosaccharide by Response Surface Methodology (돼지감자 분말과 올리고당을 첨가한 머핀 제조의 최적화)

  • Park, Geum-Soon
    • Journal of the Korean Society of Food Culture
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    • v.29 no.1
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    • pp.101-110
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    • 2014
  • This study was performed to determine the optimal composition of a muffin added with jerusalem artichoke powder and oligosaccharide. The experiment was designed based on CCD (central composite design), and evaluation was carried out by means of RSM (response surface methodology), which included 10 experimental points with three replicates each for the two independent variables jerusalem artichoke powder and oligosaccharide. The experimental muffin was prepared according to a traditional recipe, except that the flour was partially replaced by jerusalem artichoke powder (5, 15, or 25%) and the sugar was partially replaced by oligosaccharide (25, 50, or 75%). Using F-test, height, moisture, a-value, b-value, springiness, cohesiveness, texture, and overall acceptability were expressed as a linear model, whereas volume, pH, L-value, appearance, flavor and taste were expressed as a quadratic model. Increased amounts of jerusalem artichoke powder led to reduction of sensory scores for appearance, flavor, taste, texture, and overall quality. The optimum formulation determined by the numerical and graphical methods were similar: jerusalem artichoke powder 10.99%, oligosaccharide 71.40%.

Production of Lipase-catalyzed Structured Lipid from Olive Oil with Omega-3 Polyunsaturated Fatty Acids

  • Kahveci, Derya;Can, Ash;Ozcelik, Beraat
    • Food Science and Biotechnology
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    • v.18 no.1
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    • pp.79-83
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    • 2009
  • Acidolysis of olive oil with omega-3 (n-3) polyunsaturated fatty acids (PUFAs) was carried out to produce a structured lipid. Novozym $435^{(R)}$ from Candida antarctica was used as the biocatalyst. Response surface methodology (RSM) was used to determine optimum conditions for lipase-catalyzed enrichment of olive oil. Three factors, 5 levels, central composite design was used. The effects of incubation time, temperature, and substrate mole ratio on incorporation ratio (n-3 fatty acids/total fatty acids, %) were investigated. From the evaluation of response surface graphs, the optimal conditions for incorporation of long chain n-3 PUFAs into olive oil were $40-60^{\circ}C$ for temperature, 30-45 hr for reaction time, and 3:1-5:1 (n-3 fatty acids/olive oil) for substrate mole ratio. Experiments conducted under optimized conditions predicted by the model equation obtained from RSM yielded structured lipids with 50.8% n-3 PUFAs. This value agreed well with that predicted by the model. Oxidative stability tests showed that the product was more susceptible to oxidation than unmodified olive oil. Antioxidant addition improved the oxidative stability of the product.

Optimization of Sweet Rice Muffin Processing Prepared with Oak Mushroom (Lentinus edodes) Powder (표고버섯 첨가 찹쌀머핀의 최적화 및 품질특성)

  • Kim, Bo-Ram;Joo, Na-Mi
    • Journal of the Korean Society of Food Culture
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    • v.27 no.2
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    • pp.202-210
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    • 2012
  • The purpose of this study was to bake sweet rice muffins with oak mushroom ($Lentinus$ $edodes$) powder. The process included substituting sweet rice flour for cake flour and adding oak mushroom powder. This study determined the optimal mixing conditions of oak mushroom muffins by adjusting the amounts of oak mushroom powder, whole eggs, and soybean oil. The mixing conditions for the oak mushroom muffins included 3 categories: oak mushroom powder (X1), whole eggs (X2), and soybean oil (X3) by Central Composite Design (CCD) which was optimized by Response Surface Methodology (RSM). Oak mushroom muffin formulation was optimized using rheology. Yellowness (p<0.001) and redness (p<0.05) displayed a linear model pattern, whereas lightness (p<0.05) was represented by a quadratic model. Among the sensory properties, variables that appeared to show significant values such as appearance (p<0.5), texture (p<0.5), and overall quality (p<0.5) were used to identify optimums. The result of mechanical properties showed significant values in gumminess (p<0.5) and chewiness (p<0.5). The numerical and graphical methods used in this study determined that the optimum formulation for oak mushroom powder sweet rice muffins was 8.75 g of oak mushroom powder, 235.95 g of whole eggs, and 19.93 g of soybean oil.

Optimization of Alkali Pretreatment from Steam Exploded Barley Husk to Enhance Glucose Fraction Using Response Surface Methodology

  • Jung, Ji Young;Ha, Si Young;Park, Jai Hyun;Yang, Jae-Kyung
    • Journal of the Korean Wood Science and Technology
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    • v.45 no.2
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    • pp.182-194
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    • 2017
  • The optimum alkali pretreatment parameters (reaction time, reaction temperature and potassium hydroxide concentration) for facilitate the conversion into fermentable sugar (glucose) from steam exploded (severity log Ro 2.45) barley husk were determined using Response Surface Methodology (RSM) based on a factorial Central Composite Design (CCD). The prediction of the response was carried out by a second-order polynomial model and regression analysis revealed that more than 88% of the variation can be explained by the models. The optimum conditions for maximum cellulose content were determined to be 201 min reaction time, $124^{\circ}C$ reaction temperature and 0.9% potassium hydroxide concentration. This data shows that the actual value obtained was similar to the predicted value calculated from the model. The pretreated barley husk using acid hydrolysis resulted in a glucose conversion of 94.6%. This research of steam explosion and alkali pretreatment was a promising method to improve cellulose-rich residue for lignocellulosic biomass.