Characteristics and mathematical models of the thin-layer drying of paddy rice with low-pressure superheated steam
نویسندگان
چکیده
Drying paddy with low-pressure superheated steam (LPSS) can effectively increase the γ-aminobutyric acid content in paddy. This study aimed to investigate characteristics and mathematical models (MMs) of thin-layer drying LPSS. The experimentally obtained data were fitted by nonlinear regression 5 MMs commonly used for calculate goodness fit MMs. Then, LPSS was modeled two machine learning methods as a Bayesian regularization back propagation (BRBP) neural network support vector (SVM). results showed that is reduced-rate process. temperature operating pressure have significant impact on Under same pressure, increasing accelerate rate. temperature, comparison model evaluation indexes common empirical (Hederson Pabis, Page, Midilli, Logarithmic, Lewis) achieve excellent fitting effects single experimental condition. However, calculating coefficient(s) each produce poor effects. BRBP network-based slightly better than SVM-based model, both significantly MM (the Henderson Pabis model), evidenced training root mean square error (RMSE), testing RMSE, absolute (MAE), MAE, R2, R2 model. result indicates established predict moisture changes samples dried Keywords: paddy, steam, drying, characteristic DOI: 10.25165/j.ijabe.20231601.7810 Citation: Li Y, Che G, Wan L, Zhang Q Qu T Q, Zhao F Z. Characteristics rice steam. Int J Agric & Biol Eng, 2023; 16(1): 273–282.
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ژورنال
عنوان ژورنال: International Journal of Agricultural and Biological Engineering
سال: 2023
ISSN: ['1934-6352', '1934-6344']
DOI: https://doi.org/10.25165/j.ijabe.20231601.7810