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...
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.
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.
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제안 방법
(1) This study developed a simulation model for a circulating cross-flow wheat dryer using the drying model, thin layer drying model, equilibrium moisture content, latent heat of evaporation, and another model.
(2) Drying experiments using a circulating cross-flow dryer with a capacity of 30.0 tons were conducted to evaluate the developed simulation. The results validated
Six levels of drying temperatures (40, 45, 50, 55, 60, and 65℃), seven levels of grain falling rates (32, 34, 36, 38, 40, 42, and 44 m3/h), and six levels of air volumes (10, 14, 18, 22, 26, and 30 m3/min·ton) were determined.
The effects of drying conditions on drying speed and energy consumption were analyzed by changing the drying air temperature, air volume, and falling rate in the simulation of the circulating cross-flow dryer. Table 2 shows the drying conditions: 30 tons of dryer capacity, 20.
The simulation was analyzed with reference values: 55°C of drying temperature, 38 m3/h of grain falling rate, and 18 m3/min·ton of air volume.
, 2010). Therefore, the purposes of this study are to develop and evaluate a simulation program for wheat dryers based on a simulation model of a circulating cross-flow dryer, and to examine the influence of the performance factors on the drying process.
2℃, and the drying speed of the experimental data was fast. Therefore, the simulation program predicted the changes in the moisture content and drying rate during wheat drying.
model for a circulating cross-flow wheat dryer. This study also verified the simulation program through experiments, and examined the effects of performance factors such as drying temperature, air volume, and flow rate on drying performance.
This study used the drying model, thin layer drying model, equilibrium moisture content, latent heat of evaporation, and another model to develop a simulation
model for a circulating cross-flow wheat dryer. This study also verified the simulation program through experiments, and examined the effects of performance factors such as drying temperature, air volume, and flow rate on drying performance.
대상 데이터
Wheat, harvested at Jeonbuk province in June, 2014, was conveyed to the storage facility, and foreign matters were screened by a paddy cleaner. The moisture content of the wheat was 18.
이론/모형
The other model used in the simulation is from the ASABE Standard (2004), and product density, specific heat, convective heat transfer coefficient, and the air resistance value of the grain layer are used. Energy consumption was calculated from the flow rate of the drying air (Kato, 1983).
성능/효과
(4) 500 m3/min of airflow rate for wheat drying was appropriate, because above this value the airflow rate showed an increased drying rate and decreased drying time. 36.
Figures 1 and 2 compare the changes in moisture content and drying rate, based on drying time, between the experimental data and predicted values from the simulation. Moisture content values from both sets of data had a tendency similar to the drying rate values, and the root mean square error (RMSE) of the moisture content and the drying rate were 0.286% and 0.056%/h, respectively. The moisture content value of the predicted model was lower than that of the experimental data, while the drying rate value of the predicted model was higher than that of the experimental data.
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