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Record W2149094033 · doi:10.1002/cjce.5450800314

Flow‐assisted corrosion of API X‐52 steel in 3.5% NaCl solution

2002· article· en· W2149094033 on OpenAlexvenueno aff
Amarnath, T.K.G. Namboodhiri, S. N. Upadhyay

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2002
Typearticle
Languageen
FieldEngineering
TopicMetallurgical Processes and Thermodynamics
Canadian institutionsnot available
Fundersnot available
KeywordsCorrosionReynolds numberScanning electron microscopeMaterials scienceRotor (electric)CylinderAlloyCarbon steelMass transferFlow (mathematics)MetallurgyMechanicsComposite materialGeometryPhysicsMathematicsTurbulenceMechanical engineeringEngineering

Abstract

fetched live from OpenAlex

Abstract Corrosion behaviour of API X‐52 grade High Strength Low Alloy (HSLA) steel in 3.5% NaCl solution under flow conditions was studied. Rotating cylinder‐, rotating disk‐ and flat plate‐type rotors were used to observe the effect of rotor geometry. The empirically obtained mass transfer correlations are in agreement with those for standard geometry. An empirical relation between Reynolds number (Re) and weight loss has also been developed for the parallel disk rotor. Scanning electron microscopy of the corroded surface revealed that corrosion proceeds through an initiation of pit‐like regions and their subsequent growth.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.221
Threshold uncertainty score0.360

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 head0.011
GPT teacher head0.167
Teacher spread0.156 · 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 designSimulation or modeling
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

Citations3
Published2002
Admission routes1
Has abstractyes

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