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Weibull distribution for modeling drying of Angelicae Sinensis Radix and its application in moisture dynamics / 中国中药杂志
Article в Zh | WPRIM | ID: wpr-337974
Ответственная библиотека: WPRO
ABSTRACT
To establish the water dynamics model for drying process of Angelicae Sinensis Radix, the Weibull distribution model was applied to study the moisture ratio variation curves, and compared the drying rate and drying activation energy with the drying methods of temperature controllable air drying, infrared drying under different temperatures (50, 60, 70 degrees C). The Weibull distribution model could well describe the drying curves, for the moisture ratio vs. drying time profiled of the model showed high correlation (R2 = 0. 994-0. 999). The result proved that the drying process of Angelicae Sinensis Radix belonged to falling-rate drying period. For the drying process, the scale parameter (a) was related to the drying temperature, and decreased as the temperature increases. The shape parameter (β) for the same drying method, drying temperature had little impact on the shape parameter. The moisture diffusion coefficient increase along with temperature increasing from 0.425 x 10(-9) m2 x s(-1) to 2.260 x 10(-9) m2 x s(-1). The activation energy for moisture diffusion was 68.82, 29.60 kJ x mol(-1) by temperature controllable air drying and infrared drying, respectively. Therefore, the Weibull distribution model can be used to predict the moisture removal of Angelicae Sinensis Radix in the drying process, which is great significance for the drying process of prediction, control and process optimization. The results provide the technical basis for the use of modern drying technology for industrial drying of Angelicae Sinensis Radix.
Тема - темы
Полный текст: 1 База данных: WPRIM Основная тема: Water / Chemistry / Angelica sinensis / Desiccation / Methods / Models, Theoretical Тип исследования: Prognostic_studies Язык: Zh Журнал: China Journal of Chinese Materia Medica Год: 2015 Тип: Article
Полный текст: 1 База данных: WPRIM Основная тема: Water / Chemistry / Angelica sinensis / Desiccation / Methods / Models, Theoretical Тип исследования: Prognostic_studies Язык: Zh Журнал: China Journal of Chinese Materia Medica Год: 2015 Тип: Article