Affiliation:
1. Universidade Federal Rural da Amazônia, Brazil
Abstract
ABSTRACT In recent years, grain storage in Brazil underwent a 1.5% increase in its available capacity, leading to a high demand for grain treatment in the country. This study aims to evaluate two computational models for grain distribution within stored maize, comparing their ability to predict the effectiveness of ozone application. Specifically, it was investigated whether a heterogeneous model, which accounts for variations in grain density and location, provides results more compatible with experimental observations in the literature. By comparing the predictive capabilities of both models, this study will contribute to developing more effective and targeted strategies for ozone-based pest control in stored grain. In the heterogeneous model, the smaller grains accumulate in the center of the container. The study uses the Stokes-Brinkman model and ozone transport equations in porous media. It was observed that the grain distribution model affects the spatial distribution of ozone concentration inside the container. In the heterogeneous grain distribution model, the region of larger grains presents a lower ozone absorption since supposedly a smaller number of ozone elimination reactions occur on the grain surfaces.
Reference24 articles.
1. Application of ozone for degradation of mycotoxins in food: A review;Afsah-Hejri L.;Comprehensive Reviews in Food Science and Food Safety,2020
2. CFD modeling of air flow, humidity, CO2 and NH3 distributions in a caged laying hen house with tunnel ventilation system;Babadi K. A.;Computers and Electronics in Agriculture,2022
3. Grain disinfestation with ozone-air mixture;Baskakov I. V.;IOP Conference Series: Earth and Environmental Science,2022
4. Modelling of the drag force of agricultural seeds applied to the discrete element method;Binelo M. O.;Biosystems Engineering,2019
5. Effect of green and roasted coffee storage conditions on selected characteristic quality parameters;Błaszkiewicz J.;Scientific Reports,2023