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Record W2899420152 · doi:10.5006/c2018-10701

Stress Corrosion Cracking of Stainless Steel in Heavy Black Liquor - Mill Experience

2018· article· en· W2899420152 on OpenAlexaffabout
Stephen Clarke, Walter Bursey

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicHydrogen embrittlement and corrosion behaviors in metals
Canadian institutionsJ. D. Irving (Canada)
Fundersnot available
KeywordsStress corrosion crackingMetallurgyMillMaterials scienceCorrosionCrackingBlack liquorStress (linguistics)Composite materialEngineeringChemistryMechanical engineering

Abstract

fetched live from OpenAlex

Abstract This paper describes the cracking failure of a UNS S30403 (304L) stainless steel 72% heavy black liquor storage tank at a Canadian bleached kraft pulp mill. The tank was installed in 1995 and operated reliably for 20 years when leaks were found in the upper part of the cylindrical shell. Samples of the cracked area were removed for laboratory examination. Investigation showed that the cracking initiated on the inside surface of the tank in the “tidal” zone where the liquor level fluctuates during normal operation of the mill. The laboratory investigation showed that the cracking was chloride stress corrosion cracking. This failure is consistent with findings at other mills in that high chloride was found in the crack tips even though the bulk chloride content of the liquor is much lower (of the order of 0.28 % on a dry solids basis which equates to 0.39% in the “liquid” 72% black liquor). Analysis of the organic residue on the corroded surface indicated that the organic species in the black liquor were oxidized in the tidal zone, and formed organic acids, which combined with the concentration effect allowed stress corrosion cracking to occur.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.020
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.304
Teacher spread0.279 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2018
Admission routes2
Has abstractyes

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