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Record W2066819475 · doi:10.1177/0021998306062316

An Improved Wear-resistant PTA Hardfacing: VWC/Stellite 21

2006· article· en· W2066819475 on OpenAlex

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

VenueJournal of Composite Materials · 2006
Typearticle
Languageen
FieldEngineering
TopicAdvanced materials and composites
Canadian institutionsNational Research Council CanadaCarleton University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsHardfacingStelliteMaterials scienceTribometerMicrostructureComposite numberComposite materialMetallurgyIndentation hardnessScanning electron microscopeIndentationTribology

Abstract

fetched live from OpenAlex

A novel compound carbide, VWC, is designed to incorporate into Stellite 21, in order to achieve an improved wear-resistant composite, plasma transferred arc (PTA) hardfacing. Different contents of VWC in the composite, 5, 10, and 20% (in weight), are tested. The microstructures of the hardfacing specimens are studied using, scanning electron microscopy (SEM) plus, energy dispersive X-ray (EDX) and X-ray techniques. The influence of VWC additive on the mechanical properties of the Co solid solution in Stellite 21 matrix is investigated with a nano-indentation technique. The hardness and wear resistance of the hardfacing specimens are evaluated on a Wilson Rockwell machine and a ball-on-disc tribometer, respectively. It is found that the hardness and wear resistance of the VWC/Stellite 21 composite layer are much higher than those of pure Stellite 21. The presence of the VWC reinforcement changes the microstructure of the Stellite 21 matrix and strengthens the Co solid solution.

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)0.000
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 score0.008
Threshold uncertainty score0.969

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.004
GPT teacher head0.204
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