Project 2

Project 2 focuses on advancing the understanding and efficiency of high-current arc plasma processes used in green metal production. The project will leverage advanced simulation models and experimental investigations to enhance the knowledge and control of plasma-solid interactions within metallurgical processes.

Current literature predominantly features 2D simulations of high-intensity current arcs. These simulations have explored the behavior of arcs in different gases, revealing that atmospheric air optimally transfers arc heat to metal baths, whereas nitrogen is less effective. Despite advancements, such models have often presumed temperature-independent arc properties, limiting their accuracy. Recent efforts by the project partners have achieved detailed 3D simulations, unveiling non-Gaussian, complex arc shapes that sometimes split into multiple paths.

The chaotic nature of arcs in industrial settings, characterized by varied regimes such as diffusive, concentrated, pretzel-shaped, and split arcs, poses a significant challenge. No existing model accurately predicts transitions between these arc regimes or the dynamics of multiple arcs at high currents.

The primary objective is to develop multi-dimensional simulation models that can predict arc behavior with high fidelity, considering the interaction between arcs and metal baths. The project aims to create 2D and 3D models that incorporate fluid dynamics, plasma chemistry, radiation, and electrode interactions. These models will be validated against experimental data to ensure their accuracy and reliability.

The project involves several strategic research tasks including the setup and testing of model arc experiments, the completion of measurements for arc dynamics, the development and validation of multi-fluid models, and the creation of detailed 2D and 1D simulations.

The outcomes of this project are expected to significantly improve the efficiency and environmental impact of metal production. By providing more precise control over arc processes, the project will contribute to reducing energy consumption and emissions in metallurgical industries. The validated models and experimental data will be instrumental for future research and industrial applications, promoting sustainable and green metal production practices.