Hot Air Convection Drying of Emilia Apples (Malus Communis) - Analysis from a Python Programming Perspective


Abstract:

The objective of this study was to investigate convection drying using thin slices of Emilia apples (Malus communis). Mathematical modeling is determined using Python between the residual moisture index (PHR), drying time, and temperature, which allows optimal and precise control during the dehydration process without affecting the sensory properties of the product. Experimentally, the behavior of the PHR concerning drying time has been determined, using three temperatures (50, 60, and 70 ºC) at a constant speed corresponding to 2 m/s. The PHR experimental data were fitted to the Newtonian and Midilli-Kacuk drying models. A simple relationship between PHR, drying time, and temperature can be determined using the Newton model. The simplicity of Newton's model methodically illustrates a way to optimally and precisely control the dehydration of slices of Emilia apples (Malus communis).

Año de publicación:

2025

Keywords:

  • Malus communis apple
  • Midilli-Kacuk drying model
  • Newton drying model
  • proportion of remaining moisture
  • PYTHON

Fuente:

scopusscopus
googlegoogle
orcidorcid

Tipo de documento:

Other

Estado:

Acceso restringido

Áreas de conocimiento:

  • Programación de computadoras
  • Ciencia agraria
  • Ciencias de la computación
  • Análisis de datos

Áreas temáticas de Dewey:

  • Huertos, frutas, silvicultura
  • Tecnología alimentaria
  • Programación informática, programas, datos, seguridad
Procesado con IAProcesado con IA

Objetivos de Desarrollo Sostenible:

  • ODS 6: Agua limpia y saneamiento
  • ODS 12: Producción y consumo responsables
  • ODS 15: Vida de ecosistemas terrestres
Procesado con IAProcesado con IA