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Record W2515123580 · doi:10.1149/ma2016-02/14/1355

The Influence of Copper Coatings on the Corrosion of Carbon Steel Substrates

2016· article· en· W2515123580 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueECS Meeting Abstracts · 2016
Typearticle
Languageen
FieldEngineering
TopicGeophysical Methods and Applications
Canadian institutionsNuclear Waste Management OrganizationWestern University
Fundersnot available
KeywordsCorrosionCoatingMaterials scienceCarbon steelMetallurgyCopperComposite material

Abstract

fetched live from OpenAlex

Within the multi-barrier system proposed for the permanent disposal of spent nuclear fuel, the primary engineered barrier is the sealed metallic container. The proposed Canadian container design involves a carbon steel vessel coated with 3 mm of Cu. Since they will be buried ~500 m below ground, the carbon steel provides the necessary structural support, while the Cu coating provides corrosion resistance. 1 The coatings will be formed by either electrodeposition or a cold spray technique. Despite a considerable amount of research into the corrosion behaviour of the outer Cu coating, 2 the impact of a defect in the coating on the corrosion of steel remains largely unstudied. Should a defect simultaneously expose both Cu and steel to groundwater, galvanically accelerated corrosion of the steel could increase the accumulation of corrosion damage, by either corrosion propagation through the steel or de-adhesion of the Cu coating from the steel. The goal of this research is to determine the influence of the coating process on these modes of damage accumulation when a through-coating defect is present. To simulate this scenario, Cu-coated carbon steel specimens with a small hole (0.5 mm in diameter) drilled through the coating to the Cu-steel interface are being used. Since strongly saline ground waters are possible, the specimens are exposed to 3 M NaCl solutions with various concentrations of dissolved O 2 . Using X-ray microtomography, a non-destructive 3D imaging technique, the progression of corrosion damage at the base of the simulated defect is being monitored both in-situ and ex-situ. The corrosion process is also being followed electrochemically by monitoring the corrosion potential and periodically recording the polarization resistance using the linear polarization technique. The potential reflects the relative rates of the chemical reactions occurring on the sample surface and the polarization resistance values reflect the changes in the overall corrosion rate. Results to date show that galvanically accelerated steel corrosion occurs, as expected, in oxygenated solutions, with the corrosion rate and distribution of damage being dependent on the dissolved O 2 concentration. The corrosion behaviour also differs depending on the nature of the coating. Coatings produced by a cold spray process exhibited damage propagation along the Cu/steel interface, while electrodeposited coatings did not. Despite this difference in geometry, the overall extent of corrosion is very similar based on damage volume measurements obtained from the X-ray microtomography imaging. The long term goal of this project is to develop a computational model to determine the extent of corrosion damage which could occur on a waste container emplaced in a repository ~500 m below ground in which the redox conditions are evolving from oxic to anoxic. With this goal in mind, a finite element model (based on a COMSOL framework) is being developed to describe the galvanic corrosion process. (1) Scully, J. R.; Edwards, M. Review of the NWMO Copper Corrosion Allowance ; NWMO TR-2013-04; NWMO: Toronto, ON, 2013. (2) King, F. Critical Review of the Literature on the Corrosion of Copper by Water ; TR-10-69; SKB: Stockholm, Sweden, 2010.

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)0.000
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 score0.111
Threshold uncertainty score0.153

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 head0.014
GPT teacher head0.238
Teacher spread0.224 · 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