MétaCan
Menu
Back to cohort
Record W2088652813 · doi:10.1179/174328407x185929

Formation of eutectic-type microconstituent during transient liquid phase bonding of nickel: Influence of process parameters

2008· article· en· W2088652813 on OpenAlexfundno aff
Mohamed M. Abdelfatah, O.A. Ojo

Bibliographic record

VenueMaterials Science and Technology · 2008
Typearticle
Languageen
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsnot available
FundersUniversity of Manitoba
KeywordsEutectic systemMaterials scienceEutectic bondingIsothermal processMicrostructurePhase (matter)Melting pointComposite materialNickelMetallurgyThermodynamics

Abstract

fetched live from OpenAlex

Transient liquid phase bonding of nickel by a filler material containing phosphorus as a melting point depressant was performed to study the effects of process parameters on the joint microstructure. Insufficient holding time for complete isothermal solidification of liquated insert resulted in formation of eutectic-type microconstituent along the joint centreline region. An increase in the eutectic thickness with increase in initial filler gap size was observed in joints prepared at a constant temperature and holding time. The eutectic was observed to serve as a preferred continuous path for crack initiation and/or propagation. Two different observation of influence of bonding temperature on the eutectic formation was made, one in which increase in bonding temperature resulted in formation of thicker centreline eutectic and the second in which preclusion of the eutectic was achieved at a shorter time relative to a lower temperature.

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)0.000
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 score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.011
GPT teacher head0.242
Teacher spread0.230 · 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

Citations33
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueMaterials Science and TechnologySame topicElectronic Packaging and Soldering TechnologiesFrench-language works237,207