MétaCan
Menu
Back to cohort

Thermomechanical fatigue behaviour and mode of failure of laser welded single crystal Ni based superalloy

2013· article· en· W2042822439 on OpenAlex
J. Durocher, J. R. Cahoon, N.L. Richards

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMaterials Science and Technology · 2013
Typearticle
Languageen
FieldEngineering
TopicWelding Techniques and Residual Stresses
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceWeldingMetallurgyAlloySuperalloyLaser beam weldingCarbideHeat-affected zoneGrain boundaryParis' lawMetallographyFusion weldingComposite materialMicrostructureFracture mechanicsCrack closure

Abstract

fetched live from OpenAlex

The baseline metallography of single crystal alloy N5 was compared with laser welded material to evaluate the effect of the welding process on cracking behaviour. In addition, baseline thermomechanical fatigue data were compared with the fatigue properties of welded specimens. The solution treated and aged single crystal alloy was found to contain microporosity, Ta rich MC carbides, Cr–Mo rich grain boundary borides, gamma prime and fine secondary gamma prime. In addition, recrystallised grains were present in the weld heat affected zone and provided a path for crack propagation out of the fusion zone. The laser beam welds showed defects mainly associated with the fusion zone, while thermomechanical fatigue analysis of the laser weld data showed inferior values compared to the baseline solution treated and aged material. Metallographic analysis showed that this was due to increased defects in the fusion zone associated with surface oxidation and heat affected zone recrystallisation compared to the non-welded alloy.

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.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.265

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 head0.010
GPT teacher head0.218
Teacher spread0.209 · 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