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Record W1782329327 · doi:10.1109/holm.1993.489685

Effect of electrical current on the morphology and kinetics of formation of intermetallic phases in bimetallic aluminum-copper joints

2002· article· en· W1782329327 on OpenAlexaff
M. Braunović, N. N. Aleksandrov

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicIntermetallics and Advanced Alloy Properties
Canadian institutionsHydro-Québec
Fundersnot available
KeywordsIntermetallicMaterials scienceCopperBimetallic stripAnnealing (glass)MetallurgyAluminiumKineticsIndentation hardnessComposite materialAlloyMicrostructure

Abstract

fetched live from OpenAlex

The effect of electrical current on the morphology and kinetics of formation of intermetallic compounds of bimetallic friction welded aluminum-copper joints was studied. The formation and growth of intermetallic compounds was studied in the temperature ranges 200-500/spl deg/C that was realized by heating Al-Cu joints with an AC current of different intensities (400-1000 A). The presence of an electrical field greatly accelerates the kinetics of formation of intermetallic phases and alters significantly their morphology. The formation and growth of intermetallic phases exerts a pronounced effect on the mechanical (microhardness) and electrical integrity of aluminum-copper joints. The contact resistance increases linearly with the thickness of the intermetallics. The phases formed are very hard and extremely brittle. The growth kinetics of intermetallic phases under the influence of electrical current is much higher than that under diffusion annealing in furnace.

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 score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.018
GPT teacher head0.236
Teacher spread0.218 · 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

Citations26
Published2002
Admission routes1
Has abstractyes

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