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Record W4301971646 · doi:10.31399/asm.cp.itsc2004p0962

Particle Diagnostics in Wire-Arc Spraying System

2004· article· en· W4301971646 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.

Bibliographic record

VenueThermal spray · 2004
Typearticle
Languageen
FieldEngineering
TopicHigh-Temperature Coating Behaviors
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMaterials scienceArc (geometry)Particle (ecology)Divergence (linguistics)Plane (geometry)CoatingRotational symmetrySymmetry (geometry)Particle-size distributionAnodeDistribution functionParticle sizeOpticsMechanicsGeometryComposite materialPhysicsElectrodeChemistryThermodynamics

Abstract

fetched live from OpenAlex

Abstract Diagnostics of particles produced from Value-Arc 100 twin-wire-arc spraying system was found using DPV2000 monitoring tool. Effect of different operating parameters on the diagnostics of the particles, namely, temperature, velocity, and size distributions, were experimentally studied and discussed. It was found that the particle characteristics are not symmetric about the center line of the plume. It was also found that the divergence angle in the plane parallel to both wires is less than the divergence angle in the symmetry plane of the wires, which is observed in the actual oval-shape coating structure and is explained by the geometry of the system. Size distribution and volumetric size distribution of particles are also analyzed and compared with log-normal distribution function. It is shown that the size distribution consists of two different peaks believed to be associated with anodic and cathodic particles in the process.

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 score0.171
Threshold uncertainty score0.672

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)0.0000.000

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 head0.009
GPT teacher head0.211
Teacher spread0.201 · 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