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Transient Liquid Phase Bonding of Ceramics and Metal Matrix Composites

2006· article· en· W2036915458 on OpenAlexaff
Mathieu Brochu, Fabian Edelmann, Robin Valin, R. A. L. Drew

Bibliographic record

VenueAdvances in science and technology · 2006
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced ceramic materials synthesis
Canadian institutionsMcGill University
Fundersnot available
KeywordsMaterials scienceBrazingCeramicMicrostructureIsothermal processComposite materialAluminideAlloyPhase (matter)Liquid metalTransient (computer programming)Nickel aluminideMetallurgyIntermetallicNialThermodynamics

Abstract

fetched live from OpenAlex

Transient Liquid Phase Bonding (TLPB) is a joining process that uses liquid as medium for the establishment of an interface between two faying surfaces. In TLPB, as opposed to brazing process, the careful selection of the interlayer materials and the use of a prolonged heat treatment, allows for isothermal solidification and results in interfaces possessing potential service temperature higher than the joining temperature itself. Such a process is attractive for joining ceramics to metals and composites. In this presentation, the applicability of TLPB for various systems: Si3N4/FA-129 iron aluminide alloy, Al2O3/Al2O3, Al-Al2O3/Al-Al2O3, Al-Al2O3/Al-SiC and Al-Al2O3/Al. Results on the interface formation, interfacial microstructure and mechanical properties will be presented. A comparison of the TLPB joint properties with traditional joining for similar systems will be illustrated.

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 score0.002
Threshold uncertainty score0.008

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)0.0020.001

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 head0.005
GPT teacher head0.286
Teacher spread0.281 · 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

Citations0
Published2006
Admission routes1
Has abstractyes

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