Computational Fluid Dynamic Modeling and Simulation of Red Chili Solar Cabinet Dryer

Abstract

Red chilies are important sources of nutrients for human diet. It is known that improper handling of the produces causes a significant loss. Drying is a primary and suitable preservation system of chili products before storage to minimize mold/mycotoxin development. This study investigates the potential of solar cabinet chili dryer through rigorous computational fluid dynamic modeling by considering red chili as porous media. The k-ε turbulence model was utilized to effectively predict the uniformity of drying air velocity, pressure and mass transfer. It was found that the CFD simulation gives accurate prediction of the drying air and velocity and pressure distribution in each tray at inlet air velocity of 1.5m/s. The solar absorber temperature was reached up to 54 o C and the drying chamber temperature was in the range of 34 -38 o C. The performance of the dryer was very promising to keep the quality of the dried red chili products.

CFD Simulation of Airflow Distribution in a Heat Pump-Assisted Deep-Bed Paddy Dryer

“…Many researchers have focused on developing mathematical models for deep-bed drying technologies (Ranjbaran et al, 2014;Sitompul and Widiasa, 2001;Zare et al, 2006;Liu et al, 2015;Ghiaus and Gavriliuc, 2007;Amantéa et al, 2013;Harchegani et al, 2012). But fewer researchers have used simulation software to develop the CFD models and predict the drying parameters (Ranjbaran et al, 2014;Liu et al, 2015;Sapto et al, 2015;ElGamal et al, 2013;Misha et al, 2015;Getahun et al, 2019;Salvatierra-Rojas et al, 2021).…”