• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.36 no.3
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• pp.229-237
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• 2008

In this research, a MDO(multi-disciplinary design optimization) framework, which integrates aerodynamic and structural analysis to design an aircraft wing, is constructed. Whole optimization process is automated by a parametric-modeling approach. A CFD mesh is generated automatically from parametric modeling of CATIA and Gridgen followed by automatic flow analysis using Fluent. Finite element mesh is generated automatically by parametric method of MSC.Patran PCL. Aerodynamic load is transferred to Finite element model by the volume spline method. RSM(Response Surface Method) is applied for optimization, which helps to achieve global optimum. As the design problem to test the current MDO framework, a wing weight minimization with constraints of lift-drag ratio and deflection of the wing is selected. Aspect ratio, taper ratio and sweepback angle are defined as design variables. The optimization result demonstrates the successful construction of the MDO framework.

• Journal of the Korean Institute of Gas
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• v.6 no.1 s.17
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• pp.86-91
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• 2002

This study introduces a method that selects equipments, so as to reach the reliability level, carrying out an optimization analysis which considers the reliability data and cost of the equipments. A more practical optimization problem has been formed using the object function based on the discrete function and the constraints. The jacked reactor being the subject, an optimization analysis was performed on equipments that have different failure rates depending on costs in order to reach the target reliability level required by the system. The mixed-integer programming (MIP) was used for this optimization analysis. When the jacked reactors target level of reliability was $1.65{\times}10^{-4}$, the result of the analysis showed the equipments with high cost and low failure rate were selected. However when the target level of reliability was low, the result showed that by choosing the equipments with lower cost and reliability over the more expensive one, the desired target level could be reached.

• Korean Journal of Food Science and Technology
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• v.34 no.3
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• pp.437-443
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• 2002

Using agar and gelatin as wall materials, onion oil was microencapsulated using the extrusion spraying technology. A sensitive methodology was developed for quantitative determination of the microencapsulation yield through ethyl acetate extraction and gas chromatographic analyses. Optimal conditions for the microencapsulation process consisting of the ratio of [core material, Cm] to [wall material, Wm] ($X_1$), temperature of dispersion fluid ($X_2$), detergent concentration in dispersion fluid ($X_3$), and concentration of emulsifier $(X_4)$ were determined using response surface methodology. The regression model equation for the yield of microencapsulation (Y, %) of onion oil could be predicted as $Y\;=\;97.028571-0.775000\;(X_1)-0.746726\;(X_1){\cdot}(X_1)\;-\;1.100000\;(X_3){\cdot}(X_2)$. The optimal conditions for the microencapsulation of the onion oil were determined as the ratio of [core material] to [wall material] of 4.5 : 5.5 (w/w), the temperature of dispersion fluid of $17.1^{\circ}C$ detergent concentration in dispersion fluid of 0.03%, and the concentration of emulsifier of 0.42%. Results revealed the most stable microcapsule of onion oil could be formed with the highest yield of microencapsulation (more than 95%) under optimal conditions.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.02a
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• pp.296-296
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• 2012

LCD panel 검사를 위한 Probe unit은 대형 TV 및 모바일용 스마트폰을 중심으로 각광을 받고 있는 소모성 부품으로 최근 pitch의 미세패턴화가 급속히 진행되고 있다. 본 연구에서는 Slit Wafer 제작 공정을 최적화하기 위해 25 um pitch의 마스크를 설계, 제작하였다. 단공과 장공을 staggered 형태로 배열하여 25 um/25 um line/space pitch로 설계하였다. 또한 단위실험을 위해 직접 25 um pitch로 설계하여, 동일한 실험조건을 적용하여 최적 조건을 찾고자 하였다. 반응변수는 Etch rate 및 profile angle로 결정하였으며, 약 200~400 um 에칭된 slit의 상단과 하단의 폭, 그리고 식각깊이를 SEM 측정사진을 통해 정한 후 etch rate 및 profile angle을 결정하였다. 인자는 식각속도 및 wall의 각도를 결정하는 식각 및 passivation 가스의 유량, chamber 압력(etching/passivation), 식각시간 등으로 정하였으며, 이들의 최대값과 최소값 2 수준으로 실험계획을 설계하였다. 식각 조건에 따라 8회의 실험을 수행하였다. 가스의 유량은 SF6 400 sccm, C4F8 400 sccm, 식각 싸이클 시간은 5.2~10.4 sec, passivation 싸이클시간 4 sec로 하였으며, 압력은 식각시 7.5 Pa, passivation 시 10 Pa로 할 경우가 가장 sharp하게 나타났다. Coil power 와 platen power는 각각 2.6 KW, 0.14 KW로 하였으며, 최적화를 위한 인자의 값들은 이 범위에서 조절하였다. 이러한 인자의 조건 조절을 통해 etch rate는 5.6 um/min~6.4 um/min, $88.9{\sim}89.1^{\circ}$의 profile angle을 얻을 수 있었다.

• Journal of the Korean GEO-environmental Society
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• v.8 no.4
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• pp.19-25
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• 2007

Process analysis with ASM3 (Activated Sludge Model3) was performed to offer basic data for the optimization of aerated biofilter (ABF) process design and operation. This study was focused on the simulation of the nitrification reaction in ABF which was a part of the advanced nutrient treatment process using bio-adsorption. The ABF process has been developed for the removal of suspended solids and nitrification reaction in sewage. A GPS-X (General Purpose Simualtor-X) was used for the sensitivity analysis and operation assessment. Sensitivity of ASM3 parameters on ABF was analysed and 4 major parameters ($Y_A$, $k_{sto}$, ${\mu}_A$, $K_{A,HN}$) were determined by dynamic simulation using 70 days data from pilot plant operation. The optimized values were 0.14 for $Y_A$, 3.5/d for $k_{sto}$, 2.7/d for ${\mu}_A$ and 1.1 mg/L for $K_{A,HN}$, respectively. Simulation with optimized parameter values were conducted and TN, $NH_4{^+}-N$ and $NO_3{^-}-N$ concentrations were estimated and compared with measured data at the range of 10 min to 4 hrs of hydraulic retention time (HRT). The simulated results showed that optimized parameter values could represent the characteristics of ABF process. Especially, the ABF showed relatively high nitrification rate (60%) under very short HRT of 10 min. As a consequence, the ABF was thought to be successfully used in the site which having high variation of influent loading rate.

• Korean Chemical Engineering Research
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• v.58 no.2
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• pp.235-247
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• 2020

Simulation study and validation on 50 L/hr pilot-scale Bunsen process was carried out in order to investigate thermodynamics parameters, suitable reactor type, separator configuration, and the optimal conditions of reactors and separation. Sulfur-Iodine is thermochemical process using iodine and sulfur compounds for producing hydrogen from decomposition of water as net reaction. Understanding in phase separation and reaction of Bunsen Process is crucial since Bunsen Process acts as an intermediate process among three reactions. Electrolyte Non-Random Two-Liquid model is implemented in simulation as thermodynamic model. The simulation results are validated with the thermodynamic parameters and the 50 L/hr pilot-scale experimental data. The SO₂ conversions of PFR and CSTR were compared as varying the temperature and reactor volume in order to investigate suitable type of reactor. Impurities in H₂SO₄ phase and HI_X phase were investigated for 3-phase separator (vapor-liquid-liquid) and two 2-phase separators (vapor-liquid & liquid-liquid) in order to select separation configuration with better performance. The process optimization on reactor and phase separator is carried out to find the operating conditions and feed conditions that can reach the maximum SO₂ conversion and the minimum H₂SO₄ impurities in HI_X phase. For reactor optimization, the maximum 98% SO₂ conversion was obtained with fixed iodine and water inlet flow rate when the diameter and length of PFR reactor are 0.20 m and 7.6m. Inlet water and iodine flow rate is reduced by 17% and 22% to reach the maximum 10% SO₂ conversion with fixed temperature and PFR size (diameter: 3/8", length:3 m). When temperature (121℃) and PFR size (diameter: 0.2, length:7.6 m) are applied to the feed composition optimization, inlet water and iodine flow rate is reduced by 17% and 22% to reach the maximum 10% SO₂ conversion.

• Journal of the Korea Society for Simulation
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• v.22 no.4
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• pp.21-28
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• 2013

This paper describes the method to solve the optimization problems for stochastic simulation which is represented by military simulations. For this reason, the test fitness function reflecting the characteristics of military simulations, complex and stochastic results, is defined and PSO is used to solve the test fitness function. To control the known weak point of PSO for stochastic simulations, this paper proposes a technique which reevaluates the value of global optimum. By using the technique, the result shows notable improvements. From the simulation results, interactions among the calculation conditions which affect the accuracy and speed of optimization are analyzed. And the strategy for the optimization of stochastic simulations is proposed.

• The Korean Journal of Food And Nutrition
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• v.30 no.2
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• pp.319-325
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• 2017

In this study, we optimized the coffee extraction conditions for instant coffee production in two stage percolators, which is the most common coffee extractor for instant coffee production. A central composite design was used to build mathematical model equations for response surface methodology (RSM). In these equations, the yield and overall acceptability of the coffee extracts were expressed as second-order functions of three factors, the feed water temperature, draw-off factor (DOF), and extraction time (cycle time). Based on the result of RSM, the optimum conditions were obtained with the use of desirability function approach (DFA) which find the best compromise area among multiple options. The optimum extraction conditions to maximize the yield and overall acceptability over 40% of yield were found with $163^{\circ}C$ of feed water temperature, 4.3 of DOF and 27 minutes of extraction time (cycle time). These results provide a basic data for the coffee extraction conditions for the competitive instant coffee in the industry.

• Korean Journal of Food Science and Technology
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• v.23 no.2
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• pp.167-174
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• 1991

Cultural conditions for the biopolymer production by an alkali tolerant Bacillus sp. isolated from soil were investigated and determination of optimal conditions was carried out by response surface method. The maximal production of biopolymer was obtained after cultivation at $30^{\circ}C$ for 36hrs in the mixture of 8% soluble starch, 0.75% yeast extract, 0.1% $NaNO_3$, 0.05% $MgSO_4\;7H_2O$ and 1% $Na_2CO_3$ adjusted to pH 10. Under these conditions, about 44 g/l of biopolymer were produced. From the results of response surface analysis, optimal condition for the production of biopolymer were obtained at stationary point with 15.16 of C/N ratio, $34.62^{\circ}C$ of temperature and 9.50 of pH. On the basis of these conditions, it was estimated that 66.84 g/l of the biopolymer could be produced.

• Journal of the Korean Society of Food Science and Nutrition
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• v.33 no.6
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• pp.1068-1073
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• 2004

Response surface methodology (RSM) was used to monitor characteristics of hot water extracts from Hericium erinaceus. A central composite design was applied to investigate the effects of independent variables, extraction temperature (X$_1$), sample ratio (X$_2$) and extraction time (X$_3$) on dependent variables such as soluble solid (Y$_1$), total phenols (Y$_2$), crude protein (Y$_3$) and electron donating ability (Y$_4$) of the extracts. As the sample ratio increased, the soluble solid content increased, while extraction temperature played a minor role. As a whole total phenols and crude protein contents increased with increasing the sample ratio. Electron donating ability increased in proportion to extraction temperature and sample ratio, which didn't increase at certain period. Then ranges of optimum extraction conditions for maximized physicochemical properties were 91.5∼96.5$^{\circ}C$ in extraction temperature and 3.5∼4.2 g/100 mL in sample ratio. Predicted values at the optimized conditions were coincident with experimental values.