A SOFTWARE FOR PARAMETER ESTIMATION IN THIN–LAYER DRYING MODELS
DOI:
https://doi.org/10.52292/j.laar.2024.1052Keywords:
Thin–layer drying models, parameter estimation, sequential quadratic programming (SQP), pattern search, optimizationAbstract
Drying is a very important process because of reducing the water content, extends shelf life, and provides easy transportation of fruits and vegetables. However, when drying kinetics is not evaluated mathematically, causes many problems from the increase in the production cost to the decrease in the product quality. Estimating the parameters in thin–layer drying kinetic models using experimental data and determining the model/models that best fit the experimental data requires a series of studies that takes time and requires experience. It is clear that there is a need for a simple to use and user–friendly optimization software that can calibrate these models. For this purpose, a user-interactive graphical user interface (PEDKiM) was developed to estimate the kinetic parameters of nine different thin-layer drying models. This study can be seen as an innovative study for the thin layer drying process of fruits and vegetables.
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