Zinc Electrolysis

Zinc electrolysis, a crucial step in zinc smelting, aims to optimize production efficiency and product quality. Current research focuses on improving process monitoring and control, particularly addressing issues like poor electrode contact, using machine learning techniques such as artificial neural networks, random forests, and support vector machines to predict key process parameters like filter cake moisture. These predictive models, trained on data from various process variables, enhance process understanding and enable more precise control, ultimately leading to increased zinc recovery and reduced waste.