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Record W4299729743 · doi:10.31399/asm.cp.itsc2004p0645

Splat Formation in Wire Arc Spraying

2004· article· en· W4299729743 on OpenAlex
A. Pourmousa, S. Chandra, J. Mostaghimi

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 scienceSubstrate (aquarium)Deposition (geology)CoatingAluminiumComposite materialSplashAdhesionPorosityParticle (ecology)MetallurgyGas dynamic cold spray

Abstract

fetched live from OpenAlex

Abstract An experimental study was conducted to study the effect of impact velocity and substrate temperature on splat morphology using a wire arc spraying system. Aluminum was sprayed onto polished AISI304L substrates held at various temperatures. In-flight particle parameters (size, velocity, temperature) were measured using a DPV 2000 system. Individual splats deposited on the substrate were photographed. Comparisons between the in-flight particle size distribution and the final splat size distribution showed that increasing substrate temperature results in increased mean spread factor. A transition temperature from splash to disk splats was determined. Coatings were also produced at various substrate temperatures and porosity levels measured. The effect of substrate temperature on deposition efficiency and coating adhesion was measured. Increasing substrate temperature was found to improve both deposition efficiency and adhesion strength.

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 score0.091
Threshold uncertainty score0.516

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 head0.010
GPT teacher head0.216
Teacher spread0.206 · 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