Optimization of Caper Drying Using Response Surface Methodology and Artificial Neural Networks for Energy Efficiency Characteristics

Optimization of Caper Drying Using Response Surface Methodology and Artificial Neural Networks for Energy Efficiency Characteristics

One of the essential factors for the selection of the drying process is energy consumption. This study intended to optimize the drying treatment of capers using convection (CD), refractive window (RWD), and vacuum drying (VD) combined with ultrasonic pretreatment by a comparative approach among arti...

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Bibliographic Details
Main Authors: Hasan Demir, Hande Demir, Biljana Lončar, Lato Pezo, Ivan Brandić, Neven Voća, Fatma Yilmaz
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Energies
Subjects:
drying of capers
response surface method
vacuum drying
specific energy consumption
artificial neural network
refractive window drying
Online Access:https://www.mdpi.com/1996-1073/16/4/1687

Internet

https://www.mdpi.com/1996-1073/16/4/1687

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