作者: Dariush Zare , Hossein Naderi , Mohsen Ranjbaran
DOI: 10.1080/07373937.2014.962143
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摘要: The kinetics of combined hot-air/infrared thin-layer drying paddy was studied. mechanical quality aspects kernels dried at different conditions were evaluated in terms percentage cracked and also required failure force obtained from bending tests. well-known Artificial Neural Network (ANN) modeling technique applied to predict the time, variations moisture content, percentages kernels, values conditions. best ANN topologies, transfer functions, training algorithms determined for prediction mentioned parameters. In addition product aspects, specific energy consumption (SEC) estimated all results indicated that application a low-intensity IR radiation (2000 W/m2), together with lower inlet air temperature (30°C) moderate velocity (0.15 m/s), can effectively improve ...