A software for parameter estimation in thin–layer drying models

YÜCEER A. M., GÖZ E., TOSUN E.

Latin American Applied Research, cilt.54, sa.3, ss.383-388, 2024 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 54 Sayı: 3
  • Basım Tarihi: 2024
  • Doi Numarası: 10.52292/j.laar.2024.1052
  • Dergi Adı: Latin American Applied Research
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.383-388
  • Anahtar Kelimeler: Optimization, Parameter estimation, Pattern search, Sequential quadratic programming (SQP), Thin–layer drying models
  • Ankara Üniversitesi Adresli: Evet

Özet

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.