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Record W2892932388 · doi:10.22215/etd/2015-11012

Development and Evaluation of Anti-Abrasion Polymer Coatings for Circulation Coins

2015· dissertation· en· W2892932388 on OpenAlexaboutno aff
Ayman Ibrahim

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicTribology and Wear Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsBrassPolyurethaneMaterials scienceAbrasion (mechanical)Composite materialSiliconCoatingMetallurgy

Abstract

fetched live from OpenAlex

The Royal Canadian Mint (RCM) has always been active in finding and supporting new and advanced coin production technologies. Most recently it revealed interest in polymer based coatings for its circulation coins. The motivation behind this development is to provide antiabrasion, anti-corrosion and anti-bacterial abilities thus increasing the life span of coins in circulation. Polyurethane, polytetrafluoroethylene, advanced liquid glass, standard liquid glass and silicon R-2180 are selected and applied onto brass plated blank coins (loonies) and their wear resistance is investigated. Following coating application using a WS-650 spin coater, polyurethane, advanced liquid glass and silicon R-2180 showed satisfactory visual appearance in compliance with standards set by the Royal Canadian Mint. Pin-on-disc wear test is conducted on coated brass blanks; both advanced liquid glass and polyurethane exhibits superior results when compared to silicon R-2180. An additional abrasion test is carried out using a tumbling machine. Periodic tumbling is carried out in increments of 5 hr for 25 hr to assess the wear resistance of the three candidate materials. Over all, advanced liquid glass maintains 40% of the coating after 25 hr of tumbling compared to only 20% and 5% for polyurethane and silicon R-2180, respectively.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.366
Threshold uncertainty score0.431

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.034
GPT teacher head0.305
Teacher spread0.271 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2015
Admission routes1
Has abstractyes

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