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Record W2314570322 · doi:10.1299/kikaia.79.1122

Production of Sintered Bearing by Unification Powder Forming from Different Metals Powder

2013· article· en· W2314570322 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

VenueTRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series A · 2013
Typearticle
Languageen
FieldEngineering
TopicPowder Metallurgy Techniques and Materials
Canadian institutionsFédération des Comités de Parents du Québec
Fundersnot available
KeywordsMaterials scienceSinteringElectron microprobeMetallurgyBearing (navigation)Composite numberLayer (electronics)DiffusionComposite material

Abstract

fetched live from OpenAlex

To develop the composite journal bearings (CJB) with high strength and high wear resistance, two different mixed powders were compacted in the shape of a double-layers cylinder. A mixed powder of Fe-Cu was used for an outer layer as back-up material. In inner layer, the mixed powder of Fe-Ni-Mo-Cu was used for wear resistance. The compacted cylindrical bearing was sintered at various temperatures. EPMA analysis was conducted to identify the distribution of elemental composition near the interface between the inner and outer layers. As a result, it was confirmed that the joining between the inner and outer layers in the CJB was achieved by a diffusion mechanism and the hardness increased with increasing the sintering temperature. After the sizing process, the CJB became higher circularity than journal bearing made by conventional P/M 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 score0.217
Threshold uncertainty score0.593

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 head0.197
Teacher spread0.187 · 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