The purpose of this study was to optimize dough properties using response surface methodology (RSM) and to demonstrate the performances of dough prepared under optimized conditions. Dough mixed with yeast, margarine, salt, sugar and wheat flour was prepared by fermentation process. Hardness, cohesiveness and springiness of dough were selected as critical quality attributes. The critical formulations (yeast and water) and process (fermentation time) variables were selected as critical input variables based on preliminary experiment. Box-Behnken design (BBD) was used as RSM. As a result, the quardratic, the squared and the linear model respectively provided the most appropriate fit (R2>90) and had no significant lack of fit (p>0.05) on critical quality attributes (hardness, cohesiveness and springiness). The accurate prediction of dough characteristics was possible from the selected models. It was confirmed by validation that a good correlation was obtained between the actual and predicted values. In conclusion, the methodologies using RSM in this study might be applicable to the optimization of fermented foods containing various wheat flour and yeast.

The purpose of this study was to optimize dough properties using response surface methodology (RSM) and to demonstrate the performances of dough prepared under optimized conditions. Dough mixed with yeast, margarine, salt, sugar and wheat flour was prepared by fermentation process. Hardness, cohesiveness and springiness of dough were selected as critical quality attributes. The critical formulations (yeast and water) and process (fermentation time) variables were selected as critical input variables based on preliminary experiment. Box-Behnken design (BBD) was used as RSM. As a result, the quardratic, the squared and the linear model respectively provided the most appropriate fit (R2>90) and had no significant lack of fit (p>0.05) on critical quality attributes (hardness, cohesiveness and springiness). The accurate prediction of dough characteristics was possible from the selected models. It was confirmed by validation that a good correlation was obtained between the actual and predicted values. In conclusion, the methodologies using RSM in this study might be applicable to the optimization of fermented foods containing various wheat flour and yeast.

Airline schedules are highly dependent on various factors of uncertainties such as unfavorable weather conditions, mechanical problems, natural disaster, airport congestion, and strikes. If the schedules are not properly managed to cope with such disturbances, the operational cost and performance are severely affected by the delays, cancelations, and so forth. This is described as a disruption. When the disruption occurs, the airline requires the feasible recovery plan returning to the normal operations in a timely manner so as to minimize the cost and impact of disruptions. In this research, an Ant Colony Optimization (ACO) algorithm with re-timing strategy is developed to solve the recovery problem for both aircraft and passenger. The problem consists of creating new aircraft routes and passenger itineraries to produce a feasible schedule during a recovery period. The suggested algorithm is based on an existing ACO algorithm that aims to reflect all the downstream effects by considering the passenger recovery cost as a part of the objective function value. This algorithm is complemented by re-timing strategy to effectively manage the disrupted passengers by allowing delays even on some of undisrupted flights. The delays no more than 15 minutes are accepted, which does not influence on the on-time performance of the airlines. The suggested method is tested on the real data sets from 2009 ROADEF Challenge, and the computational results are compared with the existing ones on the same data sets. The method generates the solution for most of problem set in 10 minutes, and the result generated by re-timing strategy is discussed for its impact.

PURPOSES: Pavement Management System contains the data that describe the condition of the road. Under limited budget, the data can be utilized for efficient plans. The objective of this research is to develop a mixed integer program model that maximizes remaining durable years (or Lane-Kilometer-Years) in road maintenance planning. METHODS: An optimization model based on a mixed integer program is developed. The model selects a cluster of sectors that are adjacent to each other according to the road condition. The model also considers constraints required by the Seoul Metropolitan Facilities Management Corporation. They select two lanes at most not to block the traffic and limit the number of sectors for one-time construction to finish the work in given time. We incorporate variable cost constraints. As the model selects more sectors, the unit cost of the construction becomes smaller. The optimal choice of the number of sectors is implemented using piecewise linear constraints. RESULTS: Data (SPI) collected from Pavement Management System managed by Seoul Metropolitan City are fed into the model. Based on the data and the model, the optimal maintenance plans are established. Some of the optimal plans cannot be generated directly in existing heuristic approach or by human intuition. CONCLUSIONS: The mathematical model using actual data generates the optimal maintenance plans.

Piezodialysis involves the preferential permeation of ions over water molecules through charge mosaic membranes (CMM). This energy-efficient process incites interest as an alternative route to water desalination. But the development of effective CMMs remains a challenge due to their difficult fabrication. Herein, preparation of the positive and negative domains of a CMM were optimized. Negative poly(sodium styrene sulfonate) was blended in poly(vinyl alcohol) matrix, same as that of the positive poly(diallyldimethyl ammonium chloride). Results reveal that a balance between the two domains is critical for the CMM to achieve high salt enrichment and mechanical stability. This work was supported by NRF funded by the Korea government (MSIP) (No. 2017R1A2B2002109) and Basic Science Research Program of Ministry of Education (2009-0093816).

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℃ 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.

생강은 오랫동안 음식과 약초로 사용되어 왔다. 생강의 주요 생리활성성분으로 gingerol과 shogaol 등이 있으며 이들은 항산화와 항염 등에 효과가 있다고 알려져 있다. 하지만 생강과육에 대한 연구는 많이 진행되고 있는 것에 반해 껍질에 대한 연구는 전무한 실정이다. 아임계수 추출은 압력을 조절하여 끓는점과 임계점 사이에서 물을 액체상태로 유지시켜 추출하는 방법으로 gingerol과 shogaol 같은 비극성 화합물을 유기용매를 사용하지 않고 추출하는데 효율적인 추출방법이다. 본 연구의 목적은 아임계수를 이용하여 생강껍질에서 생강의 주요 생리활성성분인 6-gingerol과 6-shogaol의 최대 수율을 나타내는 최적 추출 조건을 찾는 것이다. 추출은 다양한 추출 시간(5-20분) 및 온도(110-190°C)에서 Dionex Accelerated Solvent Extractor (ASE, Model 350)를 사용하여 수행하였다. 6-gingerol과 6-shogaol은 HPLC (high performance liquid chromatography)를 이용하여 분석하였으며 항산화능은 FRAP분석법에 의해 평가되었다. 6-gingerol 함량은 110°C에서 추출 시간에 따라 증가하였지만, 130°C와 150°C에서는 증가하다 시간이 길어질수록 감소했다. 이후 온도에서는 시간에 따라 함량이 감소하여 130°C에서 10분간 추출했을 때 6-gingerol이 가장 많이 함유된 추출물을 얻을 수 있었다. 6-shogaol은 110°C에서 검출되지 않았고 130°C 이상의 온도에서 검출되기 시작했다. 6-shogaol은 130°C부터 170°C까지 추출온도와 시간이 증가할수록 함량이 증가하는 경향을 보였다. 190°C에서는 15분까지 추출시간에 따라 증가하다 20분동안 추출 시 6-shogaol의 함량이 줄어 190°C에서 15분간 추출했을 시 가장 높은 수율을 보였고 이는 메탄올을 이용하여 60°C에서 2시간동안 추출한 추출물보다 높은 수율이었다. 이는 gingerol이 열에 의해 shogaol로 전환되는 성질이 있고 온도가 증가하며 6-shogaol의 추출이 이루어지다가 열에 많이 노출될 경우 6-shogaol이 다른 형태로 분해되기 때문으로 보인다. 항산화능 역시 6-shogaol의 함량과 유사한 경향을 보였으며 추출온도와 시간이 증가할수록 증가하는 경향을 보였다. 따라서 생강껍질을 190°C의 아임계수를 이용하여 15분간 추출할 경우 6-shogaol의 수율을 최대로 하여 항산화능이 높은 추출물을 얻을 수 있었다. 본 연구를 통해 오직 물만을 이용한 아임계수 추출을 이용해 생강의 부산물로 버려지던 생강껍질의 활용가능성을 확인하였다.

In this study, factors analysis is performed for reducing friction in elevation motion of a large television stand over 50 inch. The first study is for specification decision and volume compensation experiment as an apparatus for compensating of the volume of the cylinder is compressed as the volume of piston rod. The second study is for optimized piston structure development by comparison pipe orifice and labyrinth orifice. Consequently, the result of total consideration in stability problem and performance of volume compensation for specification decision and volume compensation experiment is determined the final speculation of hollow rod ∅8 x ∅4 and riveting system. and the labyrinth orifice is not founded that of the Ø0.4~0.6 orifice both tests on 300 mm intervals.

In this paper, we take into account topology optimization problems considering spatial randomness in the material property of elastic modulus. Based on 88 lines MATLAB Code, Monte Carlo analysis has been performed for MBB(messerschmidt-bo lkow-blohm) model using 5,000 random sample fields which are generated by using the spectral representation scheme. The random elastic modulus is assumed to be Gaussian in the spatial domain of the structure. The variability of the volume fraction of the material, which affects the optimum topology of the given problem, is given in terms of correlation distance of the random material. When the correlation distance is small, the randomness in the topology is high and vice versa. As the correlation distance increases, the variability of the volume fraction of the material decreases, which comply with the feature of the linear static analysis. As a consequence, it is suggested that the randomness in the material property is need to be considered in the topology optimization.

In this paper, it is covered in detail the process of generating structural alternatives with geometry change and its optimization by StrAuto. The main roof structure of the Exhibition Center is modelled parametrically and the optimal alt is derived by observing volume changes according to geometry change of main roof truss. Existing studies performed optimization process through sections and properties due to the limitations of shape change, but this study have meaning of performing the optimization with geometry changes which is the most critical skills of StrAuto. By the process of securing a sufficient margin by geometry changes and reducing volume with the optimization of sections, despite of a partial optimization of large space structure, it could be reduced by 11.7% of the total volume.

Abstract The increase of the superheat is one of several factors adversely affecting the efficiency of the refrigeration cycle. To this end, it is important to release the heat inside the compressor. Therefore, in this paper, we have increased the convective heat transfer coefficient inside the compressor by utilizing the vibration of the moving part of the compressor. The results show that reducing the gap between the shell and the moving part increases the flow velocity in the gap resulting in the increase of convective heat transfer coefficient.