Vibro-Fluidized Bed Drying of Pumpkin Seeds: Assessment of Mathematical and Artificial Neural Network Models for Drying Kinetics

Pumpkin seeds were dried in a vibro-fluidized bed dryer (VFBD) at different temperatures at optimized vibration intensity of 4.26 and 4 m/s air velocity. The drying characteristics were mapped employing semiempirical models and Artificial Neural Network (ANN). Prediction of drying behavior of pumpki...

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Auteurs principaux: Priyanka Dhurve, Ayon Tarafdar, Vinkel Kumar Arora
Format: article
Langue:EN
Publié: Hindawi-Wiley 2021
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Accès en ligne:https://doaj.org/article/351b0737d403492880c1358e2d20868b
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