• Title/Summary/Keyword: Response Surface Model (RSM)

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A Study for Design Optimization of an Automated Distribution Center using the Simulation and Metamodel (시뮬레이션과 메타모델을 이용한 자동물류센터 설계 최적화)

  • Kang, Jeong-Yun;Lee, Hong-Chul;Um, In-Sup
    • Journal of the Korea Society for Simulation
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    • v.15 no.3
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    • pp.103-114
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    • 2006
  • Now distribution centers include an ASRS (Automated Storage and Retrieving System) and automated transfer systems such as conveyors and AGV (Automated Guided Vehicle). These automated distribution centers have lots of parameters to be considered fur operating performance. The general basic parameters in the distribution centers are specifications of storage equipment, system operating rules, configuration of storage area and unit load features. In this paper, an approach using simulation and metamodeling with response Surface method to optimize the design parameters of an automated distribution center model is presented. The simulation based metamodel will constitute an efficient approximation of the system function, and the approximate function will be used to design rapid optimal parameters of the distribution center model. This paper provides a comprehensive framework for economical material flow system design using the simulation and metamodeling.

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Optimization of Submerged Culture Conditions for the Growth Increase of Ginseng Adventitious Root Containing Germanium (게르마늄 함유 인삼 부정근의 생장 증대를 위한 액체배양 조건의 최적화)

  • Chang, Eun-lung;Oh, Roon-II
    • Journal of Ginseng Research
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    • v.33 no.2
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    • pp.143-148
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    • 2009
  • This study was carried out to detennine the optimal submerged culture conditions for the growth increase of ginseng adventitious roots containing germanium by means of a fractional factorial design with four factors and three levels, using the response surface methodology (RSM). The ginseng (Panax ginseng CA. Meyer) adventitious roots were induced by plant growth regulators and cultured in a liquid SH medium. The effects of various $GeO_2$ and phosphoric acid ($H_3P0_4$) concentrations in the medium, $GeO_2$ addition time and the pH of the medium on the fresh weight of the ginseng adventitious roots were investigated. The optimum pH of the medium and the phosphoric acid concentration detennined by the partial differentiation of the model equation were 4.7 and 6.0 roM, respectively. The predicted optimal $GeO_2$ concentration was 10 ppm and the $GeO_2$ addition time did not affect the growth of ginseng adventitious roots. Under these conditions, the growth of the ginseng adventitious root containing germanium was predicted to be 2.47 g.

Trade-off Analysis in Multi-objective Optimization Using Chebyshev Orthogonal Polynomials

  • Baek Seok-Heum;Cho Seok-Swoo;Kim Hyun-Su;Joo Won-Sik
    • Journal of Mechanical Science and Technology
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    • v.20 no.3
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    • pp.366-375
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    • 2006
  • In this paper, it is intended to introduce a method to solve multi-objective optimization problems and to evaluate its performance. In order to verify the performance of this method it is applied for a vertical roller mill for Portland cement. A design process is defined with the compromise decision support problem concept and a design process consists of two steps: the design of experiments and mathematical programming. In this process, a designer decides an object that the objective function is going to pursuit and a non-linear optimization is performed composing objective constraints with practical constraints. In this method, response surfaces are used to model objectives (stress, deflection and weight) and the optimization is performed for each of the objectives while handling the remaining ones as constraints. The response surfaces are constructed using orthogonal polynomials, and orthogonal array as design of experiment, with analysis of variance for variable selection. In addition, it establishes the relative influence of the design variables in the objectives variability. The constrained optimization problems are solved using sequential quadratic programming. From the results, it is found that the method in this paper is a very effective and powerful for the multi-objective optimization of various practical design problems. It provides, moreover, a reference of design to judge the amount of excess or shortage from the final object.

Treatment of Rice Mill Wastewater Using Continuous Electrocoagulation Technique: Optimization and Modelling

  • Karichappan, Thirugnanasambandham;Venkatachalam, Sivakumar;Jeganathan, Prakash Maran;Sengodan, Kandasamy
    • Journal of the Korean Chemical Society
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    • v.57 no.6
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    • pp.761-768
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    • 2013
  • Removal of COD and TSS from rice mill wastewater was investigated using continuous electrocoagulation method (CEC). The electrical energy consumption (EEC) of the process was also examined in order to evaluate the economic viability. The Box-Behnken statistical experiment design (BBD) and response surface methodology (RSM) were used to investigate the effects of major operating variables. Initial pH, current density, electrode distance and flow rate were selected as independent variables in BBD while COD removal, TSS removal and EEC were considered as the response functions. The predicted values of responses obtained using the response function was in good agreement with the experimental data. Optimum operating conditions were found to be pH of 7, current density of 15 mA $cm^{-2}$, electrode distance of 5 cm and flow rate of 70 ml/min. Under these conditions, greater than 89% removal of COD and TSS were obtained with EEC value of 7 KWh.

Slotted hydrofoil design optimization to minimize cavitation in amphibious aircraft application: A numerical simulation approach

  • Conesa, Fernando Roca;Liem, Rhea Patricia
    • Advances in aircraft and spacecraft science
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    • v.7 no.4
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    • pp.309-333
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    • 2020
  • The proposed study aims to numerically investigate the performance of hydrofoils in the context of amphibious aircraft application. In particular, we also study the effectiveness of a slotted hydrofoil in minimizing the cavitation phenomenon, to improve the overall water take-off performance of an amphibious aircraft. We use the ICON A5 as a base model for this study. First, we propose an approach to estimate the required hydrofoil surface area and to select the most suitable airfoil shape that can minimize cavitation, thus improving the hydrodynamic efficiency. Once the hydrofoil is selected, we perform 2D numerical studies of the hydrodynamic and cavitating characteristics of a non-slotted hydrofoil on ANSYS Fluent. In this work, we also propose to use a slotted hydrofoil to be a passive method to control the cavitation performance through the boundary layer control. Numerical results of several slotted configurations demonstrate notable improvement on the cavitation performance. We then perform a multiobjective optimization with a response surface model to simultaneously minimize the cavitation and maximize the hydrodynamic efficiency of the hydrofoil. The optimization takes the slot geometry, including the slot angle and lengths, as the design variables. In addition, a global sensitivity study has been carried and it shows that the slot widths are the more dominant factors.

Thermal Characteristic Analysis of Induction Motors for Machine Tool Spindle for Motion Error Prediction (운동오차 예측을 위한 공작기계 스핀들용 유도전동기의 발열량 해석)

  • Seong, Ki-Hyun;Cho, Han-Wook;Hwang, Jooho;Shim, Jongyoub
    • Journal of the Korean Society for Precision Engineering
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    • v.32 no.2
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    • pp.141-147
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    • 2015
  • This paper deals with thermal characteristic analysis of induction motors for machine tool spindle for motion error prediction. Firstly, the inverse design of general induction motors for machine tool spindle has been performed by design principles. Characteristics considering VVVF inverter of induction motors were analyzed. Secondary, power loss and thermal characteristics of induction motors analyzed by equivalent thermal resistance model from Motor-CAD S/W. To develop a second-order fitted power-loss distribution model for the constant-torque operating range of the induction motor, we employed the design of experiment and response surface methodology techniques. Finally, the analysis results were experimentally verified, and the validity of the proposed analysis method was confirmed.

Optimization for Hot Water Extraction Process of Cordyceps militaris using Response Surface Methodology (반응표면분석법에 의한 동충하초 열수추출공정의 최적화)

  • 윤광섭;정용진;이기동;신승렬;구재관
    • Food Science and Preservation
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    • v.9 no.2
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    • pp.184-188
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    • 2002
  • This study was conducted to optimize hot water extraction process of cordyceps militaris for development beverage. Optimal condition for hot water extraction was investigated with changes in extraction concentration and temperature by response surface methodology. The content of soluble solid was effected with concentration. The efficiency of extraction for turbidity, total sugar, reducing sugar and protein increased with low concentration. The response variables had significant with concentration and the established polynomial model was suitable (p>0.05) model by lack-of-fit analysis. Optimal extraction conditions as the limited renditions of 2.0∼2.4% extractable solids, 1.5∼2.0% brix, l14∼120 $\mu\textrm{g}$/g total sugar, 10.5∼11.0 $\mu\textrm{g}$/g reducing sugar and 110∼l15 $\mu\textrm{g}$/g protein were 95∼100$\^{C}$ and 4.0∼4.1% of concentration.

Optimization of uranium biosorption in solutions by Sargassum boveanum using RSM method

  • Hashemi, Nooshin;Dabbagh, Reza;Noroozi, Mostafa;Baradaran, Sama
    • Advances in environmental research
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    • v.9 no.1
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    • pp.65-84
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    • 2020
  • The potential use of Sargassum boveanum algae for the removal of uranium from aqueous solution has been studied by varying three independent parameters (pH, initial uranium ion concentration, S. boveanum dosage) using a central composite design (CCD) under response surface methodology (RSM). Batch mode experiments were performed in 20 experimental runs to determine the maximum metal adsorption capacity. In CCD design, the quantitative relationship between different levels of these parameters and heavy metal uptake (q) were used to work out the optimized levels of these parameters. The analysis of variance (ANOVA) of the proposed quadratic model revealed that this model was highly significant (R2 = 0.9940). The best set required 2.81 as initial pH(on the base of design of experiments method), 1.01 g/L S. boveanum and 418.92 mg/L uranium ion concentration within 180 min of contact time to show an optimum uranium uptake of 255 mg/g biomass. The biosorption process was also evaluated by Langmuir, Freundlich, Temkin and Dubinin-Radushkevich isotherm models represented that the experimental data fitted to the Langmuir isotherm model of a suitable degree and showed the maximum uptake capacity of 500 mg/g. FTIR and scanning electron microscopy were used to characterize the biosorbent and implied that the functional groups (carboxyl, sulfate, carbonyl and amine) were responsible for the biosorption of uranium from aqueous solution. In conclusion, the present study showed that S. boveanum could be a promising biosorbent for the removal of uranium pollutants from aqueous solutions.

Processing of Functional Enzyme-hydrolyzed Sauce from Anchovy Sauce and Soy Sauce Processing By-products 1. Optimization of Hydrolysis Conditions by Response Surface Methodology (멸치액젓 및 간장 가공부산물을 이용한 기능성 효소분해간장의 제조 1. 반응표면분석법에 의한 가수분해물 제조조건의 최적화)

  • Kim, Hun;Lee, Jung-Suck;Cha, Yong-Jun
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.31 no.4
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    • pp.653-657
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    • 2002
  • The hydrolysis conditions (enzym $e_strate ratio, time and temperature) of the mixture of anchovy sauce residue (ASR) and soy sauce residue (SSR) after fermentation by Flavourzyme 500M $G^{TM}$ were optimized using response surface methodology (RSM) for pretreatment of processing functional enzyme-hydrolyzed sauce. A model equation obtained from RSM was hydrolysis ratio (%) = 28.157+1.929enzym $e_strate ratio+1.818time+2.038temperature-1.093temperatur $e^2$, whose stationary point showed saddle point. From the ridge analysis of the saddle point, the conditions producing the highest hydrolysis ratio was determined as follows: 0.49% enzym $e_strate ratio; 3.55hr hydrolysis time; 62.5$^{\circ}C$ hydrolysis temperature. Adding of SSR to the mixture of water and ASR improved sensory qualities of mixture, so it seemed that SSR has masking effects on off-flavor and taste of ASR.R.of ASR.R.

Study of Optimized Simultaneous Extraction Conditions for Active Component of Ginseng Berry using Response Surface Methodology (반응표면분석을 이용한 진생베리의 활성 성분 최적 추출 조건에 관한 연구)

  • Go, Hee Kyoung;Park, Junseong
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.46 no.2
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    • pp.185-194
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    • 2020
  • This study was conducted to find out the optimal extraction conditions to obtain extracts with a high content of ginsenosides and antioxidant activity using the ginseng berry. After extraction by stirring, ultrasound and microwave method using 70% ethanol and distilled water as solvents, the results of considering the content of ginsenoside Re and Rb1, total polyphenol content, antioxidant activity, and whether it is an environmentally friendly manufacturing method, it was confirmed that the microwave method using distilled water is good method of extraction. The optimization of extraction conditions for microwave method were made by response surface methodology (RSM). Microwave power (50 ~ 200 W, X1), solvent and ginseng berry ratio (5 ~ 20 times, X2) and the extraction time (30 ~ 120 s, X3) were used as independent variables. The model showed a good fit having a determination coefficient of the regression equation of 0.9 or more and a p-value less than 0.05. Estimated conditions for the maximized extraction of ginsenoside contents and total polyphenols were 200 w in microwave power, 20 times in solvent and ginseng berry ratio, and 90 s in extraction time. Predicted values at the optimum conditions were total polyphenols of 6.23 mg GAE/g, ginsenoside Re of 17.69 mg/g, and ginsenoside Rb1 of 16.01 mg/g. In the verification of the actual measurement the obtained values showed 6.33 mg GAE/g, 17.79 mg/g, and 15.59 mg/g, respectively, in good agreement with predicted values.