An artificial neural network model for prediction of drying rates

被引：51
|
作者：
Islam, MR
Sablani, SS
Mujumdar, AS
机构：
[1] Natl Univ Singapore, Dept Mech Engn, Singapore 119260, Singapore
[2] Sultan Qaboos Univ, Dept Bioresource & Agr Engn, Muscat, Oman
来源：
DRYING TECHNOLOGY | 2003年 / 21卷 / 09期
关键词：
ANN; neural net; diffusion; model; liquid diffusivity;
D O I：
10.1081/DRT-120025512
中图分类号：
TQ [化学工业];
学科分类号：
0817 ;
摘要：
Drying rate data were generated for training of an ANN model using a liquid diffusion model for potato slices of different thicknesses using air at different velocities, humidities and temperatures. Moisture content and temperature dependence of the liquid diffusivity as well as the heat of wetting for bound moisture were included in the diffusion model making it a highly nonlinear system. An ANN model was developed for rapid prediction of the drying rates using the Page equation fitted to the drying rate curves. The ANN model is verified to provide accurate interpolation of the drying rates and times within the ranges of parameters investigated.
引用
收藏
页码：1867 / 1884
页数：18
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