NUMERICAL SIMULATION TECHNIQUES FOR PHYSICAL SYSTEMS IN AGRI-FOOD ENGINEERING

Аннотация

INTRODUCTION computational fluid dynamics (CFD), and discrete The agri-food sector faces increasing pressure to element modeling (DEM), numerical simulations enhance efficiency, reduce waste, and ensure provide valuable insights that are difficult or sustainability in response to growing global food impossible to obtain through experimental demands. Physical systems in agri-food approaches alone. engineering encompass a wide range of processes, including food production, processing, storage, and Numerical simulation facilitates a deeper transportation. These systems are inherently understanding of how physical parameters such as complex, involving the interaction of multiple temperature, pressure, flow, and mechanical physical, biological, and chemical factors. stresses affect system performance. In food Numerical simulation has emerged as a powerful processing, for example, simulations can help tool in this field, enabling engineers and optimize heat transfer, ensuring product safety and researchers to model, analyze, and optimize these quality while minimizing energy consumption. In complex systems. By leveraging computational agricultural systems, these models enable the techniques, such as finite element analysis (FEA), design of efficient storage facilities, transportation https://www.theamericanjournals.com/index.php/tajabe 7 THE USA JOURNALS THE AMERICAN JOURNAL OF AGRICULTURE AND BIOMEDICAL ENGINEERING (ISSN – 2689-1018) VOLUME 06 ISSUE10 networks, and environmental control mechanisms, mechanical properties, are characterized. A thereby reducing post-harvest losses and thorough review of relevant literature and improving food security. The ability to predict and consultation with industry stakeholders ensures analyze the behavior of physical systems under that the most critical processes and variables are various conditions allows for the design of more selected for simulation. efficient and sustainable processes. Once the systems and their parameters are defined, This study focuses on applying numerical the next step is the development of mathematical simulation techniques to key physical systems in models to simulate the physical behavior of these agri-food engineering, with a particular emphasis systems. For food processing, FEA is applied to on modeling, analysis, and optimization. Through simulate heat and mass transfer processes, case studies and real-world applications, this enabling precise control of temperature and research explores how simulation technologies can moisture gradients within food products during transform agri-food engineering by enhancing operations like drying and freezing. CFD is process efficiency, reducing resource usage, and employed for fluid dynamics simulations, ensuring product quality. The insights gained from particularly in scenarios where airflow, liquid flow, this study contribute to advancing innovation in or gas exchange are critical, such as in storage the agri-food sector, promoting a shift toward more environments or food packaging. DEM is utilized to sustainable and resilient food systems. model the behavior of particulate materials, such as grains or powders, allowing for the optimization