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Abstract Kiln-dried fruit drying time is readily predicted from initial moisture content since the environment is tightly controlled. For uncontrolled environments, such as a greenhouse solar dryer, a product's drying time varies depending on ambient conditions and is thus more difficult to predict. Prediction of the drying time is needed to better schedule dryer use. Data was obtained from a set of wireless scales that weigh the waste during solar drying after initial moisture content measurement of a sample. A set of linear and quadratic models for drying rate are tested with the best yielding a 39% reduction in RMSE over traditional models. The results indicate that the modelling approach is likely to be useful for open solar dryers where the temperature, and thus the drying rate, is not controlled.
Bibliographical noteNOTICE: this is the author’s version of a work that was accepted for publication in Journal of Food Engineering. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Food Engineering ,VOL 237, (2018)DOI: 10.1016/j.jfoodeng.2018.05.012
© 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
- Drying kinetics
- Drying rate
- Fruit drying
- Internet of Things
- Solar drying
ASJC Scopus subject areas
- Food Science
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- Research Centre for Computational Science and Mathematical Modelling - Professor of Computer Science
Person: Teaching and Research