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Record W4408625092 · doi:10.5006/mp2016_55_3-58

Nonuniform Corrosion of Steel Pipe with a Fluid Flow Containing Carbon Dioxide

2016· article· en· W4408625092 on OpenAlexaff
Qiang Li, Y. Frank Cheng

Bibliographic record

VenueMaterials performance · 2016
Typearticle
Languageen
FieldMaterials Science
TopicCorrosion Behavior and Inhibition
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCorrosionCarbon steelCarbon dioxideMetallurgyMaterials scienceFluid dynamicsFlow (mathematics)Petroleum engineeringEngineeringMechanicsChemistryPhysics

Abstract

fetched live from OpenAlex

This work presents results of a corrosion investigation of X65 (UNS K03014) steel pipe conveying carbon dioxide (CO2)-saturated, single-phase brine water in an in-house designed flow loop. Steel electrodes installed at the top and bottom of a testing unit, which is part of the flow pipe, exhibited different corrosion activities. The electrode at the bottom of the pipe experienced greater corrosion than the one at the top of the pipe. Thus, corrosion of the flow pipe is nonuniform at individual cross sections. Fluid dynamics do not contribute to the nonuniformity of corrosion; instead, the greater hydrostatic pressure at the bottom of the pipe appears to play a key role.

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 categoriesInsufficient payload (model declined to judge)
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 score0.003
Threshold uncertainty score1.000

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)0.0010.000

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 head0.012
GPT teacher head0.217
Teacher spread0.205 · 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.

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

Citations0
Published2016
Admission routes1
Has abstractyes

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