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Record W7028044806

Effect of gas temperature on the microstructure and properties of cold sprayed copper coatings

2009· article· en· W7028044806 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueNPARC · 2009
Typearticle
Languageen
FieldMedicine
TopicBiomedical and Chemical Research
Canadian institutionsMcGill University
FundersMcGill University
KeywordsMicrostructureGas dynamic cold sprayCopperIndentation hardnessCoatingPorosityRecrystallization (geology)Deposition (geology)
DOInot available

Abstract

fetched live from OpenAlex

Cold spray is a relatively new coating technology by which metallic coatings can be produced using low-temperature (300-800 °C) processing gas and high-velocity (500-1200 m/s) powder particles. In this paper, copper coatings were produced under the same gas pressure but different gas temperatures (100, 200, 400 and 600 °C). The properties and microstructure of assprayed coatings were tested and characterized to investigate the effect of gas temperature. We found that in higher gas temperature the deposition efficiency is increased and the porosity is decreased. The microhardness of the coatings can be decreased with increasing gas temperature, which is interpreted in terms of recrystallization in the cold spray 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 score0.012
Threshold uncertainty score0.128

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 head0.261
Teacher spread0.251 · 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