MétaCan
Menu
Back to cohort
Record W4294630778 · doi:10.31399/asm.cp.itsc2003p0509

The Use of Tungsten Carbide Materials for Oil Sand Wear Applications

2003· article· en· W4294630778 on OpenAlexaff
M.J. Anderson, S. Chiovelli, R. Llewellyn

Bibliographic record

VenueThermal spray · 2003
Typearticle
Languageen
FieldEngineering
TopicAdvanced materials and composites
Canadian institutionsNational Research Council CanadaSyncrude (Canada)
Fundersnot available
KeywordsHardfacingMaterials scienceTungsten carbideAbrasion (mechanical)MetallurgyWeldingCoatingCarbideComposite numberTungstenCeramicThermal sprayingComposite material

Abstract

fetched live from OpenAlex

Abstract The unique wear protection properties of tungsten carbide metal matrix composite materials are resulting in their increasing use in the oilsand industry to combat severe low stress sliding abrasion and various types of slurry abrasion and erosion. Their successful application, mainly in bulk welding and spray coating forms, has extended component service lives, improved reliability and reduced maintenance costs. Increased use of tungsten carbide metal matrix composite hardfacing deposits in oil sands applications is the direct result of understanding carbide thermal degradation and the processes used to deposit these materials. Plasma transferred arc welding (PTAW) has proven to be an effective process for applying these materials. Current and future work on PTAW and other candidate processes to establish the optimum carbide hardfacing method will be reviewed.

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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 head0.018
GPT teacher head0.217
Teacher spread0.199 · 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

Citations6
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueThermal spraySame topicAdvanced materials and compositesFrench-language works237,207