A software for parameter estimation in thin–layer drying models
Latin American Applied Research, vol.54, no.3, pp.383-388, 2024 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 54 Issue: 3
- Publication Date: 2024
- Doi Number: 10.52292/j.laar.2024.1052
- Journal Name: Latin American Applied Research
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Page Numbers: pp.383-388
- Keywords: Optimization, Parameter estimation, Pattern search, Sequential quadratic programming (SQP), Thin–layer drying models
- Ankara University Affiliated: Yes
Abstract
Drying is a highly significant process because it reduces water content, prolongs shelf life, and facilitates the transportation of fruits and vegetables. However, the absence of a mathematical evaluation of drying kinetics can lead to various issues, ranging from increased production costs to diminished product quality. Estimating parameters in thin-layer drying kinetic models through experimental data and identifying the model or models that best fit the experimental data typically involves time-consuming and experience-demanding processes. There is a pressing need for straightforward and user-friendly optimization software capable of calibrating these models. To address this need, a user-interactive graphical user interface (PEDKiM) was developed to estimate the kinetic parameters of nine thin-layer drying models. This study represents an innovative approach to the thin-layer drying process of fruits and vegetables.