Please use this identifier to cite or link to this item: https://doi.org/10.1081/DRT-120025512
Title: An artificial neural network model for prediction of drying rates
Authors: Islam, R. 
Sablani, S.S.
Mujumdar, A.S. 
Keywords: ANN
Diffusion
Liquid diffusivity
Model
Neural net
Issue Date: Oct-2003
Source: Islam, R., Sablani, S.S., Mujumdar, A.S. (2003-10). An artificial neural network model for prediction of drying rates. Drying Technology 21 (9) : 1867-1884. ScholarBank@NUS Repository. https://doi.org/10.1081/DRT-120025512
Abstract: 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.
Source Title: Drying Technology
URI: http://scholarbank.nus.edu.sg/handle/10635/59423
ISSN: 07373937
DOI: 10.1081/DRT-120025512
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