Development and Evaluation of Anti-corrosion and Anti-bacterial Polymer Coatings for Circulation Coins
Bibliographic record
Abstract
Loonies and quarters, made of a carbon steel core with multi-ply brass plating and nickel plating, have been used as Canadian circulation coins for decades. More recently, the Royal Canadian Mint has proposed additional requirements for the coins to have anti-wear, anti-corrosion and anti-bacterial functions. Therefore an effective coating with such functions is explored in this study. Five candidate polymers are investigated; they are polyurethane, advanced liquid glass, silicone R-2180, polytetrafluoroethylene, and standard liquid glass. Among them, only polyurethane, advanced liquid glass and silicone R-2180 have passed the preliminary appearance examination and are subjected to further testing. Anti-corrosion test in artificial human sweat environment is conducted on the coated coins. The experimental results demonstrate that these three polymer coatings have good anti-corrosion ability on quarters, and for loonies, the advanced liquid glass and silicone coatings exhibit better performance. Anti-bacterial test is performed on the advanced liquid glass coating by adding E. coli onto the coin specimens, and then the amounts of bacteria left on the specimens are calculated after certain durations. The experimental results show that the advanced liquid glass coating has better bacterial resistance than uncoated quarters, but it is not as good as loonies with brass plating.
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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".