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Record W2885781183 · doi:10.2320/matertrans.h-m2018832

Surface Properties of Intermetallic Compound Layer Formed on Titanium Alloy by AIH-FPP (Atmospheric Controlled Induction Heating Fine Particle Peening) Treatment

2018· article· en· W2885781183 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMATERIALS TRANSACTIONS · 2018
Typearticle
Languageen
FieldEngineering
TopicHigh-Temperature Coating Behaviors
Canadian institutionsnot available
FundersLight Metal Educational FoundationLight Metals Educational FoundationJapan Society for the Promotion of ScienceAlberta Innovates - Health Solutions
KeywordsIntermetallicMaterials scienceMetallurgyAlloyTitaniumTitanium alloyShot peeningPeeningLayer (electronics)Particle (ecology)Surface layerComposite material

Abstract

fetched live from OpenAlex

The effect of the intermetallic compound layer formed by atmospheric controlled induction heating fine particle peening (AIH-FPP) treatment on the wear resistance and high-temperature oxidation resistance of titanium alloy was investigated. To form an intermetallic compound layer on a titanium alloy by AIH-FPP treatment, pure titanium, aluminum and nickel particles were mechanically milled using a planetary ball mill, and the prepared particles were used as shot particles in the AIH-FPP treatment. The results showed that intermetallic compound layers, consisted of Ti3Al and Ti2NiAl3, were formed on titanium alloy by AIH-FPP treatment using the prepared particles. The wear resistance and high-temperature oxidation resistance of the AIH-FPP treated specimen were higher than those of the untreated ones.

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 score0.005
Threshold uncertainty score0.833

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 head0.025
GPT teacher head0.239
Teacher spread0.213 · 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