NUMERICAL SIMULATION TECHNIQUES FOR PHYSICAL SYSTEMS IN AGRI-FOOD ENGINEERING

The application of numerical simulation in agri-food engineering is gaining momentum as a powerful tool for optimizing processes and improving efficiency. This study explores the use of numerical methods to model, analyze, and optimize physical systems within the agri-food sector. By focusing on critical processes such as food processing, storage, transportation, and environmental control, this research demonstrates how simulation techniques can enhance decision-making, reduce energy consumption, and ensure product quality. Various computational approaches, including finite element analysis (FEA), computational fluid dynamics (CFD), and discrete element modeling (DEM), are applied to simulate real-world scenarios in agriculture and food engineering. The results of these simulations provide insights into process optimization, enabling better design of equipment, reduction of post-harvest losses, and improvement in food safety. This paper highlights the growing role of numerical simulation as a crucial tool in addressing challenges in agri-food systems, promoting innovation, sustainability, and productivity.