Features of real-time modeling of steelmaking processes using unreal engine 5

Abstract

This paper explores the features of real-time modeling of steelmaking processes using Unreal Engine 5, focusing on the visualization and simulation of continuous casting machine (CCM) operations. The study highlights the advantages of interactive and virtual reality (VR) technologies in the training and optimization of metallurgical processes, providing a safer and more cost-effective alternative to traditional training methods. A detailed approach to 3D modeling of CCM components is presented, including the tundish, mold, secondary cooling system, and roller sections, with a focus on their realistic visualization and optimization for real-time performance. The implementation of physical simulations using Chaos Physics and Niagara in Unreal Engine 5 allows for an accurate rep-resentation of molten steel flow, solidification dynamics, and temperature gradients. Addi-tionally, gamification elements have been integrated to enhance user interaction, enabling students and engineers to explore various operational parameters in a controlled virtual envi-ronment. The research also assesses the efficiency of digital simulation techniques compared to conventional learning methods in metallurgical training programs. The use of VR-based in-teractive learning modules improves engagement and comprehension by allowing users to manipulate casting parameters and observe the impact on the final product in real-time. The paper concludes that Unreal Engine 5 provides an effective platform for modeling complex industrial processes, offering high-quality visual representation, dynamic interaction, and immersive training experiences for metallurgical professionals. Future work will focus on enhancing AI-driven adaptive learning, expanding the simu-lation scope to include additional steelmaking stages, and integrating augmented reality (AR) tools to bridge the gap between virtual training and real-world applications.