MétaCan
Menu
Back to cohort
Record W2034365037 · doi:10.1149/2.090306jes

Anodic Behavior and Corrosion Resistance of the Pb-MnO<sub>2</sub>Composite Anodes for Metal Electrowinning

2013· article· en· W2034365037 on OpenAlexafffund
Maysam Mohammadi, Akram Alfantazi

Bibliographic record

VenueJournal of The Electrochemical Society · 2013
Typearticle
Languageen
FieldEngineering
TopicElectrodeposition and Electroless Coatings
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAnodeComposite numberMaterials scienceCorrosionScanning electron microscopePolarization (electrochemistry)MetalLayer (electronics)MetallurgyChemical engineeringElectrodeComposite materialChemistry

Abstract

fetched live from OpenAlex

In this study, integrity and corrosion properties of the Pb-MnO2 composite anodes fabricated through single-action powder pressing were investigated. The effects of the MnO2 content on the properties of the composite anodes were studied and compared with those of the Pb and Pb-Sn-Ca anodes. Galvanostatic experiments (50 mA/cm2) were performed in stagnant sulphuric acid solution at 37°C for the durations of 24 and 72 hours. The results indicated that the Pb-MnO2 anodes operated at lower potentials than the Pb-Sn-Ca anode. The electrocatalytic activity of the composite anodes was improved as their MnO2 content increased, however, high MnO2 contents resulted in electrochemically unstable anodes. The composite anodes showed a lower degradation rate and better corrosion resistance compared to the Pb-Sn-Ca anode. Surface morphology and structure of the anodic layer on the anodes were examined using scanning electron microscopy (SEM) and X-ray diffraction (XRD). Barrier properties of the anodic layer on the electrodes were investigated through cyclic voltammetric measurements. Results revealed that formation of the surface anodic layer was enhanced on the Pb-MnO2 anodes. The anodic layers formed on the composite anodes in 72-hour polarization were more compact than that of the Pb-Sn-Ca anode and provided higher levels of protection.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.010
Threshold uncertainty score0.515

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.004
GPT teacher head0.190
Teacher spread0.186 · 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 teacher head, 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".

Quick stats

Citations39
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueJournal of The Electrochemical SocietySame topicElectrodeposition and Electroless CoatingsFrench-language works237,207