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Record W4241082886 · doi:10.1149/ma2018-01/4/617

Recycling of Rare Earth Elements from Nickel Metal Hydride Battery Utilizing Supercritical Fluid Extraction

2018· article· en· W4241082886 on OpenAlexaff
Yuxiang Yao, Nina F. Farac, Gisele Azimi

Bibliographic record

VenueECS Meeting Abstracts · 2018
Typearticle
Languageen
FieldEngineering
TopicExtraction and Separation Processes
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPraseodymiumMischmetalBattery (electricity)RemanufacturingEnvironmental scienceHydrideRenewable energyWaste managementAnodeNeodymiumCeriumProcess engineeringEngineeringMaterials scienceAlloyElectrical engineeringChemistryPower (physics)MetalMetallurgyHydrogen storageManufacturing engineering

Abstract

fetched live from OpenAlex

Nickel Metal Hydride (NiMH) batteries are widely used in hybrid vehicles. The anode of this battery consists a mischmetal alloy of lanthanum (La), cerium (Ce), praseodymium (Pr), and neodymium (Nd) [1]. These four elements are part of rare earth elements group, and among them, praseodymium and neodymium are considered critical materials, since they are in increasing high demand and facing supply uncertainty and near zero recycling. On the basis of the historic data, the annual demand for REEs has been increasing at a rate of 8.6% annually [1,4], and it is predicted that the rate could increase to above 20% annually to accommodate the increased utilization of renewable power generation (in particular wind and solar) and electrified transportation in the society [5]. To address the sustainability hurdles associated with NiMH battery and REE supply, new strategies have been initiated to mine these elements from secondary sources. Waste electrical and electronic equipment (WEEE) including NiMH batteries contain considerable amounts of REEs, which make them an attractive source. The number of NiMH batteries manufactured up to this date is significant, and the global annual production is also increasing, as Toyota plans to increase the sale of Prius hybrid model by 2020 [2]. Although REEs account for more than 30 wt% of a NiMH battery, the global recycling rates of REEs from end of life NiMH batteries is less than 1% [1,3]. Considering the great opportunity, it is essential to develop efficient processes for the recovery of REEs from this class of WEEE. Current recycling practices rely on either pyrometallurgy or hydrometallurgy. The former in highly energy intensive and the latter relies on large volumes of acids and organic solvents, generating large volumes of hazardous residues. This study is focused on developing an innovative and sustainable process for the urban mining of REEs from NiMH battery. The developed process relies on supercritical fluid extraction (SCFE) utilizing carbon dioxide as the solvent, which is inert, safe, and abundant. This process is very efficient because it runs at low temperature, and does not produce hazardous waste, while recovering about 90% of REEs. Furthermore, we proposed a mechanism for the SCFE of REEs, where we considered a trivalent REE state bonded with three Tri-n-butyl phosphate (TBP) molecules and three nitrates model for the extracted rare earth TBP complex. The SCFE process is an efficient and environmentally friendly process to valorize postconsumer NiMH battery without utilizing hazardous reagents; therefore, it minimizes the negative impacts of process tailings. This novel process proves to be a promising technique that can help realize the technological potential of REE recovery from post consumer WEEE, particularly NiMH battery References: [1] Tunsu, C.; Petranikova, M.; Gergorić, M.; Ekberg, C.; Retegan, T. Reclaiming rare earth elements from end-of-life products: a review of the perspectives for urban mining using hydrometallurgical unit operations. Hydrometallurgy 2015, 156, 239–258. [2] Toyota. Worldwide sales of TMC hybrids top 5 million units, URL: http://corporatenews.pressroom.toyota.com/releases/worldwide+toyota+hybrid+sales+top+6+million.htm?view_id=35924. [3] Ekberg, C.; Petranikova, M.; Koniecko, I. H.; Retegan, T.; Tunsu, C. Hydrochemical routes to recycle NiMH batteries and fluorescent lamps. In Critical Metal Symphosium; Sendai, Japan, 2016; pp 1–6. [4] Tang, K. Recycling the rare earth elements from waste NiMH Batteries and magnet scraps by pyrometallurgical processes. 2014, No. November 2015. [5] Alonso, E.; Sherman, A. M.; Wallington, T. J.; Everson, M. P.; Field, F. R.; Roth, R.; Kirchain, R. E. Evaluating rare earth element availability: a case with revolutionary demand from clean technologies. Environ. Sci. Technol. 2012, 46, 3406–3414.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.283
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2018
Admission routes1
Has abstractyes

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