Anti-wear and Hardness Values of Functional Value-Added Zn-ZnO-Rice Husk Ash Composite Coating of Mild Steel
Bibliographic record
Abstract
This paper presents the anti-wear and hardness values of electrodeposited Zn-ZnO- XRHA composite coating. Chloride-based bath was employed for the deposition bath. The deposition parameters were 0g, 10g and 20g rice husk ash (RHA) particulate loading, 15 minutes deposition, 1.4A current, 400 rpm stirring rate and 75℃ bath temperature. The composition, morphology, occurred phases, hardness and wear resistance for the RHA, mild steel substrate and developed coatings were studied. Equipment used for analyzing the coatings properties were x-ray fluorescence spectrometer, scanning electron microscope (SEM) with attached energy dispersive spectrometer (EDS), X-ray diffractometer (XRD), EMCO Test Dura-scan microhardness tester and CERT UMT-2 tribological tester. Results showed that the Zn-ZnO-20RHA coated substrate had the highest hardness result toping the bare substrate by about 170% increment value. The trend of the wear loss for the developed Zn-ZnO-XRHA descended relative to increased particulate loading.
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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) | 0.001 | 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".