Study on the Influencing Factors and Moisture Variation of Maize Deep-layer Drying
The poor understanding of the moisture change in the process of maize drying caused the limited automation level of the drying control of grain drying equipment in the actual production.This study focuses on investigating the variations of moisture of high moisture corn with the temperature,humidity,and the frequency of grain discharge during the drying process by a cross-flow and counter-flow hot air dryer.Pearson correlation analysis is employed to verify the correlation between moisture content and temperature/humidity during the drying sections.Process simulation software is utilized to analyze the drying process.The effects of heating temperature and drying temperature on energy consumption and energy efficiency during the drying process are studied.Moreover,the energy distribution during the drying process is also analyzed.The results indicated that a strong correlation between the moisture of corn and the temperature/humidity during the drying stages.When the grain discharge frequency was 10 Hz,the drying time of maize decreased from about 225 min to 135 min due to the drying temperature increased from about 80℃ to 90℃.Besides,when the grain discharge frequency was high(20 Hz),the change of maize moisture exhibited similar case at different drying temperatures.In addition,after 30 mins drying of maize,the calculated R values of moisture with temperature/humidity were all more than 0.90,indicating a strong correlation between the moisture of maize and the temperature/humidity during the drying processes.The calculation results further show energy efficiency of maize drying processes increased from 54.8％to 73.0％due to the increase of air temperature from 70℃ to 100℃.While energy efficiency decreased from73.0％to 66.4％after increasing of drying temperature is 45℃ to 50℃.It can be seen that increasing the heating temperature and reducing the drying temperature can reduce air heat loss,which contributes to reducing energy consumption and improves the energy efficiency of maize drying processes.
law of moisture changePearson correlationmathematical modelenergy consumption and energy efficiency
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