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NUMERICAL SIMULATION TECHNIQUES FOR PHYSICAL SYSTEMS IN AGRI-FOOD ENGINEERING

Azzurra Lombardi , Department of Agricultural Economics and Engineering DEIAgra, University of Bologna, Italy

Abstract

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.

Keywords

Numerical simulation, physical systems, agri-food engineering

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Azzurra Lombardi. (2024). NUMERICAL SIMULATION TECHNIQUES FOR PHYSICAL SYSTEMS IN AGRI-FOOD ENGINEERING. The American Journal of Agriculture and Biomedical Engineering, 6(10), 7–11. Retrieved from https://theamericanjournals.com/index.php/tajabe/article/view/5511