Highly corrosion and wear-resistant NiW–SiC–CeO <sub>2</sub> composite coating
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".