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Record W4324055461 · doi:10.1080/00084433.2023.2187200

Highly corrosion and wear-resistant NiW–SiC–CeO <sub>2</sub> composite coating

2023· article· en· W4324055461 on OpenAlexaff
Mina Dadvand, O. Savadogo

Bibliographic record

VenueCanadian Metallurgical Quarterly · 2023
Typearticle
Languageen
FieldEngineering
TopicElectrodeposition and Electroless Coatings
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsMaterials scienceCorrosionComposite numberCeramicCurrent densityMetallurgyCoatingComposite materialVoid (composites)

Abstract

fetched live from OpenAlex

Crack-free and uniform NiW composite coatings filled with ceramic particles such as SiC and CeO2 were deposited on brass substrates by applying direct current (DC) and a well-designed pulse reverse current waveforms (PRC). PRC coatings displayed the noblest corrosion potential and lowest current density compared to DC electrodeposited coatings. Among all PRC coatings, PRC–NiW–SiC–CeO2 demonstrated the highest corrosion resistance and the lowest current density. It also seems that the addition of ceramic particles to the NiW matrix enhanced the wear resistance of the coatings and the lowest wear volume of about (14.119 × 103 µm3) and the friction coefficient of 0.25 was obtained due to the formation of the uniform, void-free and packed structures with high content of SiC and CeO2 particles in the deposit.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.623
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.005
GPT teacher head0.182
Teacher spread0.177 · 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.

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

Citations3
Published2023
Admission routes1
Has abstractyes

Explore more

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