• 제목/요약/키워드: Response surface methodology

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반응표면분석법을 이용한 감귤건조칩 제조조건 최적화 (Optimization of the Manufacturing Process for Mandarin Dry Chip Using Response Surface Methodology (RSM))

  • 라하나;박가영;김하윤;조용식;김경미
    • 한국식생활문화학회지
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    • 제34권5호
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    • pp.637-644
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    • 2019
  • The purpose of this study was to optimize the mandarin dry chip manufacturing using a response surface methodology. The experiment was designed based on a CCD (Central Composite Design), and the independent variables were the drying temperature ($X_1$, $50-90^{\circ}C$), drying time ($X_2$, 12-36 hours), and microwave pretreat time ($X_3$, 0-4 minutes). The results of appearance ($Y_5$), color ($Y_6$), taste ($Y_8$) and overall acceptance ($Y_{10}$) were fitted to the response surface methodology model ($R^2=0.86$, 0.88, 0.89, and 0.84, respectively). Increasing the drying temperature and microwave treatment time were negatively evaluated for consumer acceptance. On the other hand, a high value of consumer acceptance was evaluated when the drying time was more than 24 hr. Therefore, the optimal conditions of $X_1$, $X_2$, and $X_3$ were $52.989^{\circ}C$, 24 hr, and 1 min, respectively. Under these optimal conditions, the predicted values of $Y_5$, $Y_6$, $Y_8$, and $Y_{10}$ were 5.066, 5.338, 5.063, and 5.339, respectively.

Statistical models for mechanical properties of UHPC using response surface methodology

  • Mosaberpanah, Mohammad A.;Eren, Ozgur
    • Computers and Concrete
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    • 제19권6호
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    • pp.667-675
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    • 2017
  • One of the main disadvantages of Ultra High Performance Concrete exists in the large suggested value of UHPC ingredients. The purpose of this study was to find the models mechanical properties which included a 7, 14 and 28-day compressive strength test, a 28-day splitting tensile and modulus of rupture test for Ultra High Performance Concrete, as well as, a study on the interaction and correlation of five variables that includes silica fume amount (SF), cement 42.5 amount, steel fiber amount, superplasticizer amount (SP), and w/c mechanical properties of UHPC. The response surface methodology was analyzed between the variables and responses. The relationships and mathematical models in terms of coded variables were established by ANOVA. The validity of models were checked by experimental values. The offered models are valid for mixes with the fraction proportion of fine aggregate as; 0.70-1.30 cement amount, 0.15-0.30 silica fume, 0.04-0.08 superplasticizer, 0.10-0.20 steel fiber, and 0.18-0.32 water binder ratio.

매실을 이용한 알콜 발효의 최적 조건 (Optimum Condition for Alcohol Fermentation Using Mume (Prunus mume Sieb. et Zucc) Fruits)

  • 손상수;지원대;정현채
    • 한국식품영양과학회지
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    • 제32권4호
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    • pp.539-543
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    • 2003
  • 매실을 사용하여 알콜을 생산하기 위하여 당농도, 발효온도, 발효시간의 3변수와 5수준의 fractional factorial design으로 RSM computer program을 사용하여 최적 발효조건을 조사하였다 알콜함량에 대한 회귀분석결과, $R^2$는 0.9276으로 높게 나타났다. 당농도 8.39%, 발효온도 28.86$^{\circ}C$에서 3.84일간 발효하는 것이 알코올 생성을 위하여 가장 양호하였으며, 이 조건에서의 알코올 생성 예상치는 5.24%이었다.

Statistical flexural toughness modeling of ultra high performance concrete using response surface method

  • Mosabepranah, Mohammad A.;Eren, Ozgur
    • Computers and Concrete
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    • 제17권4호
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    • pp.477-488
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    • 2016
  • This paper aims to model the effects of five different variables which includes: cement content (C), the steel fiber amount (F), the silica fume amount (SF), the superplasticizer (SP), the silica fume amount (SF), and the water to cementitious ratio (w/c) on 28 days flexural toughness of Ultra High Performance Concrete (UHPC) as well as, a study on the variable interactions and correlations by using analyze of variance (ANOVA) and response surface methodology (RSM). The variables were compared by fine aggregate mass. The model will be valid for the mixes with 0.18 to 0.32 w/c ratio, 4 to 8 percent steel fiber, 7 to 13 percent cement, 15 to 30 percent silica fume, and 4 to 8 percent superplasticizer by fine aggregate mass.

반응표면분석에 의한 단감식초 제조조건의 모니터링 (Monitoring for the Fermentation Conditions of Sweet Persimmon Vinegar using Response Surface Methodology)

  • 정용진;서권일;이기동;윤광섭;강미정;김광수
    • 동아시아식생활학회지
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    • 제8권1호
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    • pp.57-65
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    • 1998
  • To utilize deteriorated sweet persimmon effectively, response surface methodology(RSM) was used to determine the optimal vinegar fermentation conditions and monitored by a divided two stage fermentation. The optimum conditions for maximum alcohol content were obtained when the first stage (alcohol fermentation) was carried out with an initial sugar concentration of 18.5$^{\circ}$Brix, agitation rate of 140.8 rpm, fermentation time of 127.6 hr. When sugar concentration was 14$^{\circ}$Brix maximum alcohol content(7.1%) was predicted at fermentation conditions of 160 rpm in agitation rate, 140hr in fermentation time. The optimum conditions for maximum acidity were obtaiend when second stage(vinegar fermentation)was carried out 249.5 rpm in agitation rate, 148.8 hr in fermentation time. Predicted values at the optimum conditions were similar to experimental values.

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Response Surface-Optimized Isolation of Essential Fatty Acids via Castor Oil Dehydration

  • Suratno, Lourentius;Imanuel, Anugerahwan;Brama, Andika;Adriana Anteng, Anggorowati;Ery Susiany, Retnoningtyas;Kiky Corneliasari, Sembiring;Wiyanti Fransisca, Simanullang
    • 대한화학회지
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    • 제67권1호
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    • pp.28-32
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    • 2023
  • The reaction conditions optimization, including the temperature of the reaction, amount of catalyst required, and reaction time for the linoleic acids (LAs) and conjugated linoleic acids (CLAs) production by catalytic dehydration of castor oil via saponification was investigated by response surface methodology (RSM). It was confirmed that all three parameters (temperature, time, and amount of catalyst) were influential factors in isolating LAs and CLAs. When the temperature was increased, the iodine value increased, and the reaction time and catalyst amount increased. The optimal reaction conditions were: 240 ℃, 2.2 h reaction time, and 7 wt% catalyst amount. The maximum iodine value reached 156.25 with 91.69% conversion to the essential fatty acids.

A Graphical Method for Evaluating the Effect of Outliers, Missing Observations, and Design Augmentation in the Slope Estimation of Response Surface Designs

  • Jang, Dae-Heung;Park, Sang-Hyun
    • 품질경영학회지
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    • 제19권2호
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    • pp.17-39
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    • 1991
  • In many application of response surface methodology, good estimation of the derivatives of the response function may be as important or perhaps more important than estimation of mean response. Using a graphical method, we have studied the effect of outliers, missing observations, and design augmentation with respect to the slope estimation in the response surf ace designs.

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Improving the Quality of Response Surface Analysis of an Experiment for Coffee-supplemented Milk Beverage: II. Heterogeneous Third-order Models and Multi-response Optimization

  • Rheem, Sungsue;Rheem, Insoo;Oh, Sejong
    • 한국축산식품학회지
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    • 제39권2호
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    • pp.222-228
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    • 2019
  • This research was motivated by our encounter with the situation where an optimization was done based on statistically non-significant models having poor fits. Such a situation took place in a research to optimize manufacturing conditions for improving storage stability of coffee-supplemented milk beverage by using response surface methodology, where two responses are $Y_1$=particle size and $Y_2$=zeta-potential, two factors are $F_1$=speed of primary homogenization (rpm) and $F_2$=concentration of emulsifier (%), and the optimization objective is to simultaneously minimize $Y_1$ and maximize $Y_2$. For response surface analysis, practically, the second-order polynomial model is almost solely used. But, there exists the cases in which the second-order model fails to provide a good fit, to which remedies are seldom known to researchers. Thus, as an alternative to a failed second-order model, we present the heterogeneous third-order model, which can be used when the experimental plan is a two-factor central composite design having -1, 0, and 1 as the coded levels of factors. And, for multi-response optimization, we suggest a modified desirability function technique. Using these two methods, we have obtained statistical models with improved fits and multi-response optimization results with the predictions better than those in the previous research. Our predicted optimum combination of conditions is ($F_1$, $F_2$)=(5,000, 0.295), which is different from the previous combination. This research is expected to help improve the quality of response surface analysis in experimental sciences including food science of animal resources.

Extraction Yields and Functional Properties of Garlic Extracts by Response Surface Methodology

  • Lim, Tae-Soo;Do, Jeong-Ryong;Kwon, Joong-Ho;Kim, Hyun-Ku
    • Food Science and Biotechnology
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    • 제17권2호
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    • pp.379-383
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    • 2008
  • Extraction characteristics of garlic and functional properties of corresponding extract were monitored by response surface methodology (RSM). Maximum extraction yield of 26.41% was obtained at microwave power of 146.29 W, ethanol concentration of 63.31 %, and extraction time of 5.88 min. At microwave power, ethanol concentration, and extraction time of 114.84 W, 58.83%, and 1.42 min, respectively, maximum electron-donating ability (EDA) was 72.86%. Maximum nitrite-scavenging ability was 94.62% at microwave power, ethanol concentration, and extraction time of 81.83 W, 2.65%, and 3.83 min, respectively. Superoxide dismutase (SOD) showed maximum pseudo-activity of 49.12% at microwave power of 34.23 W, ethanol concentration of 33.11 %, and extraction time of 4.40 min. Based on superimposition of 4-dimensional RSM with respect to extraction yield, electron-donating ability, nitrite-scavenging ability, and pseudo-activity of SOD, optimum ranges of extraction conditions were microwave power of 0-100 W, ethanol concentration of 40-70%, and extraction time of 2-8 min.

Optimization of Jelly Made with Rubus coreanus (Bokbunja) Using Response Surface Methodology

  • Joo, Na-Mi;Lee, Sun-Mee;Jeong, Hee-Sun
    • Preventive Nutrition and Food Science
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    • 제14권2호
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    • pp.148-155
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    • 2009
  • The purpose of this study was to find new applications for Rubus coreanus and to produce new products. Jelly prepared with Rubus coreanus was studied and analyzed with regard to its composition, rheology and sensory evaluation. The technique of response surface methodology was used to analyze the results, which showed 16 experimental points including 2 replicates for Rubus coreanus juice, gelatin and sucrose. Rheological characteristics such as lightness, redness, yellowness and hardness, springness, chewiness and gumminess were shown to be significant, and these were mostly influenced by the content of Rubus coreanus juice. Significant sensory characteristics such as color, flavor, transparency, taste and the overall quality were also found to be greatly influenced by Rubus coreanus juice and gelatin in general. Based on the overlapping categories of factors that satisfied all sensory categories, the maximally optimized point was taken as the middle point. This value was determined to be 43.28 g of Rubus coreanus juice and 9.19 g of gelatin for every 140.00 g of sucrose.