Functionalized Cocos nucifera L shell particulate enhancement on the nanocrystalline and anticorrosion performance of Zn-Al2O3-CSP on mild steel for extended application
Bibliographic record
Abstract
The degradation of mild steel in corrosive environments necessitates innovative, eco-friendly protective coatings. This study aims to enhance the corrosion resistance and mechanical properties of mild steel by developing a Zn-Al 2 O 3 nanocomposite coating reinforced with functionalized coconut shell particulates (CSP: 0, 2, 4, 6 g) constant-current electrodeposition (1.5 A/cm 2 ). The coatings were characterized for corrosion behavior in 3.65 % NaCl using linear polarization resistance (LPR) and open circuit potential (OCP), while hardness, microstructure, and phase composition were assessed via Brinell hardness testing, scanning electron microscopy (SEM), and X-ray diffraction (XRD). Results revealed that Zn-20Al 2 O 3 -6CSP significantly outperformed uncoated steel, with polarization resistance increasing from 23.5 Ω cm 2 to 97.2 Ω cm 2 and corrosion rate decreasing from 9.98 mm/year to 1.16 mm/year. Hardness improved by 92 % (to 261.8 kgf/mm 2 ) due to reduced voids and intermetallic phases (ZnO, Al 2 O 3 , MgO, FeO). These findings position CSP as a promising sustainable additive for advanced anti-corrosion coatings, warranting further exploration in marine applications.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 teacher head, 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".