L. Y. Feng, X. X. Jiang
The processing of low-grade zinc oxide ores is becoming increasingly significant due to the depletion of zinc sulfide ores and the environmental considerations associated with their processing. This study investigates the effects of crushing, pelletizing, and alkaline leaching on massive low-grade zinc oxide ores, with a composition of 11.7% Zn. The methodology involved crushing the ore to a size of −0.154 mm, combining it with 5% cement by weight, and pelletizing it. Different solidification periods of 3, 10, and 45 days were tested, revealing that the leaching rates of zinc in the pellets reached up to 95.8%, 89.1%, and 76.4%, respectively. Additionally, it was found that reducing the solidification time enhances zinc dissolution and mitigates the influence of initial zinc concentration on the leaching rate. Kinetic studies indicated that the leaching process is diffusion-controlled through the gangue layer. The findings suggest that a minimum solidification time of three days is optimal for maximizing zinc recovery from low-grade zinc oxide pellets, highlighting a potential method to improve the efficiency of zinc extraction from these ores.
@article{d96b0050-d7ce-4458-ac62-6c768c7aef4f,
title={Crushing, Pelletizing and Alkaline Leaching of Massive Low Grade Zinc Oxide Ores},
author={L. Y. Feng and X. X. Jiang},
year={2023},
language={en}
}TY - JOUR TI - Crushing, Pelletizing and Alkaline Leaching of Massive Low Grade Zinc Oxide Ores AU - L. Y. Feng AU - X. X. Jiang PY - 2023 LA - en ER -
Alain Vignes
This book provides a comprehensive overview of the various processing operations and routes in extractive metallurgy. The objective is to present a de
David Pollard, Geoff Dunlop
The MetPlant 2008 conference focused on advancements in metallurgical processing of ores, emphasizing plant design, operation strategies, and innovati
Unknown, Unknown
This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu
Rajesh Jha, Bimal Kumar Jha
This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t
Unknown, Unknown
This study focuses on the fundamental characteristics of solid iron, which is predominantly composed of iron atoms and provides a basis for understand