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Estimation of drying rate constant from static bed moisture profile by neural network inversion CIGR Journal
Hazarika, Manuj K.; Datta, A. K..
This study aims at extracting a mathematical expression for describing the moisture loss kinetics from grains dried in the form of a static bed, based on a measured grain moisture profile across the bed, and validating its reliability in predicting the drying times.  The target expression for moisture transfer is the Lewis equation with Arrhenius type dependence of the drying rate constant on temperature, thereby reducing the problem to the determination of two coefficients (i.e., Ea and K0) for the drying rate constant.  The scheme of numerical solution of the non-equilibrium model of the deep bed drying process is represented as a trained neural network, with the values of the coefficients as inputs and the sum squared error (SSE) in the prediction of...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Food Engineering; Drying; Neural Network Modeling Static bed drying; Non-equilibrium model; Drying rate constant; Bed moisture profile; Neural network inversion; Sum squared error.
Ano: 2014 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/2487
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Performance evaluation of hybrid thin layer solar tunnel-windmill dryer in the drying of brined and non-brined Tafi (Siganussutor) Fish CIGR Journal
Odote, Peter; Kituu, Gareth M.; Obiero, Maurice; Ruwa, R; Honell, N H.
Studies were carried out to evaluate the performance of hybrid solar tunnel-windmill dryer in thin layer drying of brined and non-brined Tafi (Siganus spp.) fish. The fish were, eviscerated, and split into pieces of approximately 6cm by 4cm by 5mm was soaked in brine at 0 and 5% concentrations. The samples were dried in the dryer for 44 hours. The moisture content of the drying fish was evaluated by the AOAC oven drying procedure. In addition, analysis was carried out to establish the best thin layer drying model that describes the drying of fish in the hybrid wind-solar tunnel dryer. The moisture content of the drying fish was found to reduce linearly from 4.2 and 3.9kg/kg (db), respectively for brined and non-brined fish to 0.8kg/kg (db).  A two way...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Agricultural Engineering; Food Science and Technology Fish; Hybrid wind-solar tunnel dryer; Diffusivity; Modelling; Moisture content; Drying rate constant.
Ano: 2015 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3093
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