Drying Time, Energy and Exergy Efficiency Prediction of Corn (<i>Zea mays</i> L.) at a Convective-Infrared-Rotary Dryer: Approach by an Artificial Neural Network

Drying Time, Energy and Exergy Efficiency Prediction of Corn (<i>Zea mays</i> L.) at a Convective-Infrared-Rotary Dryer: Approach by an Artificial Neural Network

Energy consumption in the drying industry has made drying an energy-intensive operation. In this study, the drying time, quality properties (color, shrinkage, water activity and rehydration ratio), specific energy consumption (S.E.C), thermal, energy and exergy efficiency of corn drying using a hybr...

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מידע ביבליוגרפי
Main Authors: Yousef Abbaspour-Gilandeh, Safoura Zadhossein, Mohammad Kaveh, Mariusz Szymanek, Sahar Hassannejad, Krystyna Wojciechowska
פורמט: Article
שפה:English
יצא לאור: MDPI AG 2025-02-01
סדרה:Energies
נושאים:
corn
energy efficiency
exergy efficiency color
rehydration ratio
גישה מקוונת:https://www.mdpi.com/1996-1073/18/3/696

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https://www.mdpi.com/1996-1073/18/3/696

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