High Current Arc Modeling for Silicon Submerged Arc furnaces

This thesis provides a comprehensive analysis of high current arc modeling in silicon submerged arc furnaces, emphasizing the significance of accurate simulations in optimizing the efficiency and performance of these industrial systems. The objective of this research is to develop a reliable mathematical model that can predict arc behavior under varying operational conditions. Utilizing advanced computational techniques and existing theoretical frameworks, an innovative simulation methodology was implemented, enabling detailed investigation of arc stability, temperature distribution, and overall energy efficiency. The results indicate a marked improvement in the understanding of arc dynamics, with the new model demonstrating enhanced predictive capabilities compared to previous models. Additionally, the findings highlight the influence of material properties and operational parameters on arc behavior, providing valuable insights for the design and implementation of silicon submerged arc furnaces. This work not only contributes to the academic field of electrical engineering and materials science but also serves as a practical guide for industry stakeholders aiming to enhance their furnace operations through improved modeling techniques.