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Manganese recycling of spent lithium-ion batteries via solvent extraction
•Recycling of spent LiNi0.33Mn0.33Co0.33O2 (NMC) active material from lithium ion batteries.•Continuous extraction of manganese from synthetic leaching solution with 100 g/L D2EHPA.•Correlations for Sauter mean diameter and holdup.•Mass transfer for cobalt, manganese and nickel in a disc and doughnu...
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Published in: | Separation and purification technology 2021-11, Vol.275, p.119166, Article 119166 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
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Online Access: | Get full text |
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Summary: | •Recycling of spent LiNi0.33Mn0.33Co0.33O2 (NMC) active material from lithium ion batteries.•Continuous extraction of manganese from synthetic leaching solution with 100 g/L D2EHPA.•Correlations for Sauter mean diameter and holdup.•Mass transfer for cobalt, manganese and nickel in a disc and doughnut column.•Influence of feed pH value on selectivity and extraction yield.
Solvent extraction of manganese was performed in a lab-scale DN50 pulsed disc and doughnut column. Optimal conditions for hydrodynamics and mass transfer were evaluated for the separation of manganese from cobalt and nickel with 100 g L-1 D2EHPA (di-(2-ethylhexyl) phosphoric acid) as a liquid ion exchanger. In performance tests with 0.01 mol L-1 MnSO4 solution a maximum extraction yield of 94% was achieved at a phase ratio of 1.2 and a pulsation intensity of 3.2 cm s−1. Statistical analysis showed that the column loading (12 and 24 m h−1) had no significant influence on the extraction performance. The feed was a synthetic leaching solution likewise from active material of spent Li-NMC (nickel-manganese-cobalt) ion batteries. It consisted of an equimolar solution of 0.01 mol L-1 cobalt, manganese and nickel sulfate. Highest extraction yields of manganese 84% resulted at a feed pH of 2.7 or higher. At a pH of 2.2 the selectivity had its maximum at 40 and 22 for Mn to Ni and Mn to Co, respectively. A feed pH of 2.7 is recommended for optimum extraction performance and selectivity. |
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ISSN: | 1383-5866 1873-3794 |
DOI: | 10.1016/j.seppur.2021.119166 |