Mathematical methods to model double strip cylindrical fruit preserver using water as heat absorber

Area of Science:

• Agricultural Engineering
• Food Science
• Mathematical Modeling

Background:

• Fruits degrade over time, necessitating advanced preservation techniques beyond traditional rural methods.
• Maintaining fruit quality, including vitamins and nutrients, requires effective storage solutions to prevent spoilage.

Purpose of the Study:

• To develop and evaluate a novel Cylindrical Fruit Preservation (CFP) method.
• To assess the impact of humidity, temperature, and storage duration on fruit moisture retention within the CFP system.
• To model and predict temperature distribution and moisture loss in the CFP chamber.

Main Methods:

• Development of a Cylindrical Fruit Preservation (CFP) system.
• Mathematical modeling to forecast temperature distribution and moisture loss.
• Incorporation of real-world climate data (Gondar: 22–25°C, 40–99% humidity) into the models.
• Analysis of the linear relationship between temperature, humidity, and moisture loss.

Main Results:

• A linear correlation was identified between temperature, humidity, and moisture loss during fruit preservation.
• Reducing preserver temperature from 297K to 295K decreased moisture content from 80% to 64%.
• Mathematical models accurately predicted internal temperature and moisture dynamics.

Conclusions:

• Cylindrical Fruit Preservation (CFP) offers a viable method for extending fruit shelf-life by managing key environmental factors.
• Temperature and humidity are critical, linearly correlated variables affecting moisture loss in fruit preservation.
• Advanced mathematical modeling techniques show promise for future fruit moisture conservation strategies.