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Record W2364781414

Effect of alloy powder on microstructures and mechanical properties of the K640 brazed joints

2008· article· en· W2364781414 on OpenAlexaff
LI Da-bin

Bibliographic record

VenueElectric Welding Machine · 2008
Typearticle
Languageen
FieldEngineering
TopicHigh Temperature Alloys and Creep
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsBrazingEutectic systemMaterials scienceJoint (building)MicrostructureAlloyMetallurgyBase metalNeckingFracture (geology)Stress (linguistics)Composite materialWeldingStructural engineering
DOInot available

Abstract

fetched live from OpenAlex

The cast cobalt-based high temperature alloy,named K640,was brazed by conventional brazing and wide-gap brazing respectively.The micpostructures of the joints were observed and analyzed by means of SEM and EDX.The results showed that obvious composition segregation occured in the capillary joint,and lots of compounds as well as low-melting eutectic phases accumulated in the central part of the joint.Whereas,the microstructure of the joint was remarkably improved with the addition of alloy powder,in particular,the amount of compounds and low-melting eutectics decreased sharply.This is favorable to the improvement of the joint strength.However,the formation of a few small holes in the brazing seam would unavoidablely weaken the joint.The average stress-rupture life of the conventional brazed joints was 19h48min,and fracture occurred at the brazing seam with some necking.On the other hand, the average stress-rupture life of the wide-gap brazed joints came up to 21 h 43 min,and in the case the fracture occurred at the base metal.

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 head0.004
GPT teacher head0.178
Teacher spread0.174 · 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
Published2008
Admission routes1
Has abstractyes

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