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Simulation of Wheat Circulating Cross-flow Dryer
Kim, Oui-Woung,Kim, Hoon,Kim, Woong,Lee, Hyo-Jai,Han, Jae-Woong Korean Society for Agricultural Machinery 2015 바이오시스템공학 Vol.40 No.3
Purpose: In Korea, wheat is dried using circulating cross-flow grain dryers. However, there is no research on wheat drying which can be utilized for the dryers. Therefore, this study developed and evaluated a simulation of the circulating cross-flow dryer, and examined the effects of various factors on drying performance. Methods: The simulation program was developed using drying models and was evaluated against wheat-drying experiments with a dryer having a 30-ton capacity. The influence of drying temperature, air volume, and grain falling rate on drying performance were examined through the simulation. Results: The experimental results validated the simulation program by showing the same root mean square error (RMSE) for moisture content (0.286%) and drying rate (0.056%/h) in both the experimental data and the simulation values. The appropriate wheat-drying parameter values, considering drying conditions, were determined to be $50^{\circ}C$ for drying temperature, $500m^3/min$ for air volume, and a grain falling rate of $36.0m^3/h$. Conclusions: The developed simulation program for circulating cross-flow dryers analyzed the influences of performance factors such as drying temperature, air volume, and falling rate on drying performance.
Thin Layer Drying Model of Sorghum
Kim, Hong-Sik,Kim, Oui-Woung,Kim, Hoon,Lee, Hyo-Jai,Han, Jae-Woong Korean Society for Agricultural Machinery 2016 바이오시스템공학 Vol.41 No.4
Purpose: This study was performed to define the drying characteristics of sorghum by developing thin layer drying equations and evaluating various grain drying equations. Thin layer drying equations lay the foundation characteristics to establish the thick layer drying equations, which can be adopted to determine the design conditions for an agricultural dryer. Methods: The drying rate of sorghum was measured under three levels of drying temperature ($40^{\circ}C$, $50^{\circ}C$, and $60^{\circ}C$) and relative humidity (30%, 40%, and 50%) to analyze the drying process and investigate the drying conditions. The drying experiment was performed until the weight of sorghum became constant. The experimental constants of four thin layer drying models were determined by developing a non-linear regression model along with the drying experiment results. Result: The half response time (moisture ratio = 0.5) of drying, which is an index of the drying rate, was increased as the drying temperature was high and relative humidity was low. When the drying temperature was $40^{\circ}C$ at a relative humidity (RH) of 50%, the maximum half response time of drying was 2.8 h. Contrastingly, the maximum half response time of drying was 1.2 h when the drying temperature was $60^{\circ}C$ at 30% RH. The coefficient of determination for the Lewis model, simplified diffusion model, Page model, and Thompson model was respectively 0.9976, 0.9977, 0.9340, and 0.9783. The Lewis model and the simplified diffusion model satisfied the drying conditions by showing the average coefficient of determination of the experimental constants and predicted values of the model as 0.9976 and Root Mean Square Error (RMSE) of 0.0236. Conclusion: The simplified diffusion model was the most suitable for every drying condition of drying temperature and relative humidity, and the model for the thin layer drying is expected to be useful to develop the thick layer drying model.
Kim, Hoon,Kim, Oui-Woung,Kwak, Han Sub,Kim, Sang Sook,Lee, Hyo-Jai Wiley Blackwell (Blackwell Publishing) 2017 Journal of sensory studies Vol.32 No.4
<P>Practical applicationsDeveloped models is an appropriate to be a basic method for install sensory evaluation machinery for rice. The results will cover various rice cultivars and freshness because models were derived from properties of milled rice and cooked rice together. This study will be more useful with study of rough rice freshness according to storage conditions.</P>
차압예냉에서 청과물 상자의 적재방법에 따른 송풍저항 예측모델 개발
김의웅 ( Oui Woung Kim ),김훈 ( Hoon Kim ),한재웅 ( Jae Woong Han ),이효재 ( Hyo Jai Lee ) 한국식품저장유통학회(구 한국농산물저장유통학회) 2013 한국식품저장유통학회지 Vol.20 No.3
차압예냉시스템을 설계하기 위해서는 송풍저항을 정확하게 예측해야 하며, 송풍저항은 청과물의 적재방법에 따라 크게 달라진다. 본 연구는 차압예냉시스템에서 송풍량에 따른 송풍저항식과 상자의 적재방법별로 송풍저항을 측정할 수 있는 모델을 개발하기 위하여 수행되었다. 공을 퇴적한 모형상자에서의 송풍저항은 빈 상자에서의 송풍저항과 공 퇴적층만의 송풍저항을 합한 값보다 1.5배 정도 높게 나타났다. 또한 적재상자에서의 송풍저항은 통기폭방향 적재상자수의 증가에 따라 지수적으로 증가하였으나 적재길이와 적재높이의 영향은 거의 받지 않았다. 상자를 2열로 적재하는 차압예냉시스템에서 송풍저항은 1개 상자에서의 송풍저항을 기초로 예측이 가능하였으며, 예측모델을 제시하였다. The capacity of a pressure fan can be designed based on the air flow resistance of containers packed with fruits and vegetables in a pressure cooling system. This study was conducted to develop an air flow resistance model that was dependent on changes in the air flow rate and the method fo stacking containers. The air flow resistance of a container packed with uniformly shaped balls was 1.5 times greater than the sum of the air flow resistance of a vacant container and that of a wire net container packed with only balls. In addition, the air flow resistance increased exponentially as the width of the stacks increased; however, the air flow resistance did not increase greatly as the length and height of the stacks increased, which indicates that the air flow resistance is primarily influenced by the width of the stack in the air flow direction. The air flow resistance in two lines of stacking was up to 17% less than that of the width of the stack. It was also possible to determine the air flow resistance using a function of the air flow resistance through a single container and develop a prediction model. A prediction model of air flow resistance that is dependent on the stacking method and the air flow resistance of a single container was developed.