4.7 Article

Experimental and Numerical Study of a Turbulent Air-Drying Process for an Ellipsoidal Fruit with Volume Changes

Journal

FOODS
Volume 11, Issue 13, Pages -

Publisher

MDPI
DOI: 10.3390/foods11131880

Keywords

convective drying process; simulation and optimization; process engineering; transport phenomena; energy consumption

Funding

  1. FONDECYT-Chile [11200398]

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It is common to ignore volume changes in numerical simulations of food drying, leading to lower accuracy. This study develops a three-dimensional model that incorporates volume changes and considers the asymmetry of shrinkage. Experimental data on fruit drying kinetics and asymmetric shrinkage mode support the model's effectiveness, reducing the relative error by over 4 times compared to simulations without volume changes. This proposed model proves to be a useful method for more accurate modeling of drying processes.
It is common in the numerical simulations for drying of food to suppose that the food does not experience a change of volume. The few numerical studies that include volume changes assume that the shrinkage occurs symmetrically in all directions. Therefore, this effect has not been fully studied, and it is known that not considering it can be detrimental for the accuracy of these simulations. The present study aims to develop a three-dimensional model for the simulation of fruits that includes the volume changes but also takes into consideration the asymmetry of the shrinkage. Physalis peruviana is taken as the subject of study to conduct experiments and imaging analyses that provided data about the drying kinetics and asymmetric shrinkage mode. The effective diffusion coefficient is found to be between 10(-12) m(2) s(-1) and 1.75 x 10(-9) m(2) s(-1). The shrinkage occurs essentially in only one direction, with an average velocity of 8.3 x 10(-5) m/min. A numerical modelling scheme is developed that allows including the shrinkage effect in computer simulations. The performance of the model is evaluated by comparison with experimental data, showing that the proposed model decreases more than 4 times the relative error with respect to simulations that do not include volume changes. The proposed model proves to be a useful method that can contribute to more accurate modeling of drying processes.

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