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Record W2897652029 · doi:10.2351/1.5062253

Study on laser brazing characteristics of dissimilar metals

2011· article· en· W2897652029 on OpenAlexaff
Sook Hwan Kim, Y. Zhou, Mok Young Lee, Liqun Li, Ali Nasiri

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Welding Techniques Analysis
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsIntermetallicMaterials scienceElectron microprobeBrazingUltimate tensile strengthAlloyScanning electron microscopeMetallurgyDuctility (Earth science)Optical microscopeMicroanalysisBrittlenessComposite materialChemistryCreep

Abstract

fetched live from OpenAlex

Laser brazing between commercially Al coated steel and type Mg alloy(AZ31B) has been carried out in the Mg-based and Al-based insert metals. The brazing bonds have been evaluated using light microscopy, electron probe microanalysis (EPMA), X-ray diffraction (XRD) technique and tensile shear testing. Light microscopy shows that different intermediate layers are formed in the reaction zone, and these layers changes with a kind of insert metals. EPMA revealed that, at any particular insert metal, Mg-rich phases (intermetallic phases) formed in cell boundary of the Mg alloy side, but original coated layer remained in the steel side. This microanalysis also indicated different step formations in the concentration profile of Al, Mg, Zn and Si over different composition ranges in the fusion zone indicating formation of intermetallic phases that were detected by XRD. Brittle intermetallic phases lower the strength and ductility of the brazed couples significantly. Best room temperature tensile shear fracture load, approximately 520kg. has been obtained at Mg-6.5Al-1Zn-0.3Mn due to minimal deleterious effects.

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 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.710
Threshold uncertainty score0.341

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 head0.038
GPT teacher head0.266
Teacher spread0.228 · 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 teacher head, 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
Published2011
Admission routes1
Has abstractyes

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