Advances of Digital Transformation Tools in Food Engineering Research: Process Simulation and Virtual Reality Applications in Production Processes

Abstract

The food industry, research and education, along with the development of technologies, are faced with very broad and complex application areas. In order to meet the nutritional needs and expectations of the growing world population and to ensure food quality and food safety expectations, there is an increasing need for computer applications in the control, modeling, optimization, and data analysis of production systems. In this context, digital transformation tools have a significant impact on food engineering research and education, as well as industrial applications. The aim of this study is to examine the role of digital transformation tools in food engineering, especially process simulation and virtual reality applications in production processes. Process simulation makes it possible to analyze (technical, economic, and environmental) various scenarios by creating mathematical models of production processes in a digital environment. When process simulations communicate with real-world production systems, digital twins are created. With this application, production efficiency increases, waste is reduced, and quality is improved. Virtual and augmented reality can be used in various areas, such as training, simulation, design, and inspection in production facilities. This technology allows users to simulate real-world scenarios and understand production processes more effectively. In the next part of the study, a framework is proposed for the integration of process simulation and virtual/augmented reality applications with other digital transformation tools. It is concluded that this framework will provide a powerful structure for optimizing and improving production processes in the food industry.

Keywords

• Artificial Intelligence
• Digital Twin
• Process Simulation
• Virtual Reality
• Internet of Things

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