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Record W4409502344 · doi:10.5006/c2022-17528

Nickel Based Alloy Casting Failure in Potash Production Mill

2022· article· en· W4409502344 on OpenAlexaff
Bernard Peterson, Alireza Kohandehghan, Brian Wilson

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMetallurgy and Material Forming
Canadian institutionsStantec (Canada)
Fundersnot available
KeywordsPotashMetallurgyMillAlloyNickelMaterials scienceCastingProduction (economics)Nickel alloyEngineeringPotassiumMechanical engineering

Abstract

fetched live from OpenAlex

ABSTRACT A nickel-based alloy knife gate valve exposed to hot potash brine failed in less than two years in service. Failure was realized when the valve was unable to stop the flow. Visual examination of the valve internal body parts revealed heavy scaling and corrosion damage, although the center body part and the two knife gates were intact. Corrosion scale samples were subjected to chemical analysis by X-ray diffraction (XRD) augmented by energy dispersive X-ray spectroscopy (EDS). The XRD technique was unable to identify approximately 85% of the components in the scale due to lack of crystallinity. The crystalline portion of the scale was found to contain a mixture of molybdenum, chromium, nickel and tungsten oxides, and trace amounts of tungsten carbide and nickel sulphate. EDS analysis revealed high concentrations of oxygen, molybdenum and tungsten. Metallographic examination of the corroded surface revealed preferential attack of the inter-dendritic secondary phases in the cast microstructure. The results of the examinations show, the higher carbon content in the cast alloy had consumed a portion of the corrosion resisting alloying elements by forming carbide precipitates. This resulted in the depletion of corrosion resisting alloying elements in localized areas. These depleted localized areas were therefore susceptible to corrosion attack upon exposure to corrosive process fluids.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
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 head0.010
GPT teacher head0.187
Teacher spread0.177 · 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 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

Citations0
Published2022
Admission routes1
Has abstractyes

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