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Record W3112280606 · doi:10.1080/02670836.2020.1852665

Microstructural aging and property degradation of service-exposed 1Cr–1/2Mo Coke Drum steel

2020· article· en· W3112280606 on OpenAlex
Leijun Li, Rangasayee Kannan, Yiyu Wang, Nitin Kumar Sharma

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMaterials Science and Technology · 2020
Typearticle
Languageen
FieldMaterials Science
TopicMetal Alloys Wear and Properties
Canadian institutionsUniversity of Alberta
FundersSuncor Energy Incorporated
KeywordsMaterials scienceIntergranular corrosionMetallurgyCarbideGrain boundaryPearliteCreepDuctility (Earth science)Ferrite (magnet)CokeAusteniteComposite materialMicrostructure

Abstract

fetched live from OpenAlex

After long-term service, boat samples of 1Cr-1/2Mo steel seemed to have aged, evidenced by the spheroidisation of carbides in the pearlite region, and a dispersion of fine M 23 C 6 precipitation in the ferrite matrix. The yield strength of the cracked boat samples was two to three times the reported values of new A387 Grade 12 Class 2 material. The ductility is less than 0.5 times the reported values of the new grade. The intergranular fracture mode was likely due to the fine carbide precipitation inside the ferrite grains that strengthened the metal matrix, and the coarse intergranular CrMo-rich carbides that weaken the precipitate/grain boundary interfaces. Cavities similar to creep were observed along the grain boundaries in some of the boat samples, suggesting a possible creep-oxidation damage mechanism for coke drum steels.

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 score0.006
Threshold uncertainty score0.368

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.025
GPT teacher head0.225
Teacher spread0.200 · 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