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Record W4416884562 · doi:10.37665/srbqspx21537

The Study of Corrosion Behaviour of Cu In Some Commercial Beverages By Chemical and Electrochemical Measurement

2013· article· W4416884562 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSoldering and Reliability Conferences · 2013
Typearticle
Language
FieldMaterials Science
TopicCorrosion Behavior and Inhibition
Canadian institutionsUniversity of WaterlooBlackberry (Canada)
Fundersnot available
KeywordsTafel equationCorrosionCopperElectrochemistryMetalPolarization (electrochemistry)Phosphoric acid

Abstract

fetched live from OpenAlex

ABSTRACT The corrosion behaviour of pure copper in 16 selected commercial beverages was studied. Experiments were also conducted in the presence of citric and phosphoric acids to investigate their role in the corrosion process in these beverages. Two experimental approaches were used to investigate the corrosion behavior: a chemical method in which the dissolved metal concentration was measured after immersion of a sample in a beverage and an electrochemical method using the Tafel extrapolation technique. The metal surfaces were also examined by SEM/EDX after the immersion tests and electrochemical polarization. Among the important conclusions from this research are that the order in which the various beverages affect the corrosion rate as evaluated by Tafel extrapolation of the polarization curves did not agree with the order based on measurement of the dissolved metal concentration as determined by the immersion tests. Second, the ranking of the beverages according to their ability to dissolve copper based on shortterm immersion tests (1 day) did not agree with that based on long-term tests (~5 or 7 days). These discrepancies likely stem from the complicated dynamics of the corrosion of metal and the various physical, chemical and electrochemical processes that take place in these beverages. No simple correlation was found between the beverage properties and composition and the dissolved copper concentrations after immersion, whether based on shortterm or long-term tests. However, the corrosion rate of copper in the 7 soft drinks as determined by the Tafel extrapolation method was found to depend on the pH, but not in other beverages such as juices, hot drinks, milk and alcohol. SEM examination of copper surfaces showed that they corroded uniformly in all test beverages. Evidence for the formation of corrosion products containing chlorine was found in both the immersion test and the polarization scan when the applied potential increased to 1.0 V above the open-circuit potential. Of the beverages considered in this study, Gatorade was consistently found to be the most corrosive for copper.

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.

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)0.001
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 score0.036
Threshold uncertainty score0.725

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.022
GPT teacher head0.252
Teacher spread0.230 · 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