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Record W1971016198 · doi:10.1179/136217104225012175

Effect of gap size and process parameters on diffusion brazing of Inconel 738

2004· article· en· W1971016198 on OpenAlexfundno aff
O.A. Ojo, N.L. Richards, M.C. Charturvedi

Bibliographic record

VenueScience and Technology of Welding & Joining · 2004
Typearticle
Languageen
FieldEngineering
TopicHigh Temperature Alloys and Creep
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceBrazingEutectic systemIntermetallicInconelSuperalloyMetallurgyMicrostructureAlloyDiffusionCarbideVolume fractionComposite materialThermodynamics

Abstract

fetched live from OpenAlex

The influence of gap size and brazing parameters (temperature and time), on the microstructure and properties of diffusion-brazed Inconel 738 (IN-738) superalloy, was investigated using two commercial brazing alloys, Amdry ‘DF3’ and Nicrobraz 150. The residual liquid present at brazing temperature was observed to transform on cooling into centreline eutectic constituents in ‘NB 150’ brazement while three different dispersed intermetallic phases were observed in the ‘DF3’ joint. The volume fraction of the second phases increased with gap size in both ‘NB 150’ and ‘DF3’ brazements. In addition to the centreline eutectic constituents, nickel and chromium rich borides were observed at the melt back zone in samples brazed below the Ni 3 B eutectic temperature of 1093°C, and above this temperature only chromium rich borides were observed. Joints containing the second phase intermetallics in ‘NB 150’ and ‘DF3’ brazed materials were found to exhibit tensile properties inferior to that of the base alloy.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.004
GPT teacher head0.226
Teacher spread0.222 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations100
Published2004
Admission routes1
Has abstractyes

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