Zare, Dariush and Chen, Guangnan (2009) Evaluation of a simulation model in predicting the drying parameters for deep-bed paddy drying. Computers and Electronics in Agriculture, 68 (1). pp. 78-87. ISSN 0168-1699
Abstract
A simulation model for deep-bed batch drying of paddy was developed to predict the profiles of grain
moisture content, grain temperature, air temperature and air humidity during the drying process. In order
to evaluate the validity of this model, a laboratory-scale deep-bed batch dryer was designed and fabricated.
Comprehensive drying experiments were carried out in three replications under different drying
conditions with two independent drying variables, namely, drying air temperature (at two levels of 45 and
50 ◦C) and air mass flow rate (at three levels of 0.1, 0.16 and 0.22 kgm−2 s−1). Good agreement was found
between the simulation results and the experimental data. After validation of the model, the dryer performance
was optimized by minimizing specific energy consumption under identical moisture removal using the simulation model. Based on this criterion, the treatment with mass flow rate of 0.03 kgm−2 s−1 and air temperature of 35 ◦C was found to be the optimal drying condition.
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