Issue |
E3S Web Conf.
Volume 273, 2021
XIV International Scientific and Practical Conference “State and Prospects for the Development of Agribusiness - INTERAGROMASH 2021”
|
|
---|---|---|
Article Number | 07028 | |
Number of page(s) | 9 | |
Section | Agricultural Machinery | |
DOI | https://doi.org/10.1051/e3sconf/202127307028 | |
Published online | 22 June 2021 |
Potato thin layer convective dehydration model and energy efficiency estimation
1 University of Kragujevac, Faculty of Agronomy, Department of Food Technology, Cara Dušana 34, Čačak, Serbia
2 Don State Technical University, square Gagarin 1, Rostov on Don, 344003 Russian Federation
3 Tashkent state technical University named after Islam Karimov, 100095, 2, str. University Tashkent, Uzbekistan
* Corresponding author: marko.petkovic@kg.ac.rs
The dehydration parameters (temperature, thickness, and mass load) statistically significantly (p<0.05) affect the thin-layer convective dehydration of potato slices. The slices with thicknesses of 3, 5, and 8 mm were dehydrated as monolayers at different temperatures (30, 50, and 70 °C) and mass load (1.00, 0.63, and 0.38 kg m-2). The results showed that the shortest dehydration time (183 minutes), the smallest energy consumption (0.176 kWh), and the smallest emission of carbon dioxide (0.17 kg) had the dehydration model of potato slices with a 3 mm thickness, 0.38 kg m-2 mass load, dehydrated on the temperature of 70 °C. Dehydration of potato slices of 8 mm slice thickness dehydrated at 70 °C, with 0.38 kg m-2 mass load, showed the highest resistance to mass transfer (the maximum effective moisture diffusivity 2.3761 × 10-7 ± 4.45646 × 10-9 m2 s−1) and the minimum activation energy (27.02 kJ mol-1). Data obtained from these mathematical models could predict and optimize the thin layer dehydration of potato slices, with a dominant influence of temperature and potato slice thickness parameters as variables.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.