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Record W2626465154 · doi:10.5006/c2015-05559

Unexpected Corrosion of a Nickel-base Alloy in Acid Refiner Environments: a Mill Case Study

2015· article· en· W2626465154 on OpenAlexaff
Matthew Tunnicliffe, Neville Stead, C.D. Thompson, Douglas Singbeil

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicCorrosion Behavior and Inhibition
Canadian institutionsFPInnovations
Fundersnot available
KeywordsCorrosionMetallurgyAlloyNickelMillMaterials scienceBase (topology)EngineeringMechanical engineering

Abstract

fetched live from OpenAlex

Abstract The repeated failures of a wear sleeve in a primary refiner processing hardwood chips for bleached chemithermomechanical pulp (BCTMP) high-yield pulp is costly, and required scheduling for maintenance and replacement. Nickel-chromium thermal sprays can be used to protect wear sleeves in this environment because of their resistance to abrasion and aqueous corrosion. The formation of acetic or sulphuric acids within the refining zone was suspected as a corrodant due to naturally occurring acetyl groups during the pulping process, or from decomposition of residual sulphite impregnation liquor. This report describes a liquor drop test which that simulated vapor phase corrosion and demonstrate the ability of the acids to corrode the wear sleeve alloy. Surface morphologies were analyzed using a scanning electron microscope (SEM) with energy dispersive spectroscopy (EDS). Corrosion products were measured using x-ray fluorescence spectroscopy (XRF) and x-ray diffraction (XRD). The tests showed that the nickel phase in the coating is vulnerable to corrosion by both weak acids. This is circumstantial evidence that acid condensation in the refining zone is possible. Based on the test reported here, the two weld overlays tested are promising candidates for wear sleeve service in hardwood high-yield pulping.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0020.001
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 head0.047
GPT teacher head0.286
Teacher spread0.239 · 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 designObservational
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
Published2015
Admission routes1
Has abstractyes

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