The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Recovery of lithium and cobalt from spent lithium-ion batteries using organic acids: Process optimization and kinetic aspects
Open accessAbstract
An environmentally-friendly route based on hydrometallurgy was investigated for the recovery of cobalt and lithium from spent lithium ion batteries (LIBs) using different organic acids (citric acid, Dl-malic acid, oxalic acid and acetic acid). In this investigation, response surface methodology (RSM) was utilized to optimize leaching parameters including solid to liquid ratio (S/L), temperature, acid concentration, type of organic acid and hydrogen peroxide concentration. Based on the results obtained from optimizing procedure, temperature was recognized as the most influential parameter. In addition, while 81% of cobalt was recovered, the maximum lithium recovery of 92% was achieved at the optimum leaching condition of 60°C, S/L: 30gL-1, citric acid concentration: 2M, hydrogen peroxide concentration: 1.25Vol.% and leaching time: 2h. Furthermore, results displayed that ultrasonic agitation will enhance the recovery of lithium and cobalt. It was found that the kinetics of cobalt leaching is controlled by surface chemical reaction at temperatures lower than 45°C. However, diffusion through the product layer at temperatures higher than 45°C controls the rate of cobalt leaching. Rate of lithium reaction is controlled by diffusion through the product layer at all the temperatures studied.
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Cited by
Toward sustainable and systematic recycling of spent rechargeable batteries
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Recycling of spent lithium-ion batteries in view of lithium recovery: A critical review
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Metadata
- Authors
- Golmohammadzadeh, R., Rashchi, F., & Vahidi, E.
- Venue
- Waste Management
- Publisher
- Elsevier BV
- Published
- 2017-06
- Volume
- 64
- Pages
- 244-254
- ISSN
- 0956-053X (ISSN-L)
- OpenAlex
- W2602139987
- Cited by
- 406
- References
- 43
- FWCI
- 18.99
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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