Ha Bich Trinh, Jaeryeong Lee
The metal-containing sludge generated from the printed circuit boards (PCBs) manufacturing has been recycled as a secondary resource of copper (Cu) rather than being treated as a hazardous solid waste. However, it should consider the complexity of processing and using of oxidizing or precipitation agents to dissolve and separate Cu from other impurities, especially iron (Fe). This study has combined the dissolution and separation step in one stage by integrated acid leaching and electrodeposition to simplify the recovery process, while maintaining the high efficiency of separation. The chemistry of acid leaching and electrodeposition of the metals demonstrated that the metals (Cu and Fe) in the sludge sample were dissolved in the H2SO4 electrolyte, and Cu could be selectively deposited on the cathode based on the different potential conditions to reduce it on the cathode. The important factors affecting the deposition of Cu were investigated, finding the optimal conditions (current density 15 mA/cm2, H2SO4 100 g/L, Cu 20 g/L, at 45 ◦C, and for 6 h) which could completely recover Cu from the electroly.
@article{6b57504a-8798-4c81-aede-6d75bf7f268c,
title={Selective Recovery of Copper from Industrial Sludge by Integrated Sulfuric Leaching and Electrodeposition},
author={Ha Bich Trinh and Jaeryeong Lee},
year={2021},
language={en}
}TY - JOUR TI - Selective Recovery of Copper from Industrial Sludge by Integrated Sulfuric Leaching and Electrodeposition AU - Ha Bich Trinh AU - Jaeryeong Lee PY - 2021 LA - en ER -
The leachability tests for manufacturing scrap TV boards (STVB) have indicated the release of metals beyond the limit levels with potential problems f
Ian Cameron, Mitren Sukhram
This book delves into the intricate processes involved in blast furnace ironmaking, emphasizing the analysis, control, and optimization of operations.
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
Siddhartha Mukherjee
This book provides a comprehensive overview of the critical aspects of industrial process engineering and plant design, addressing the complexities an
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