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Record W2356150618 · doi:10.5006/2043

Stress Corrosion Cracking Behavior of 4.19%Zn-1.34%Mg (A7N01S-T5) Aluminum Alloy Welded Joints

2016· article· en· W2356150618 on OpenAlex

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.

Bibliographic record

VenueCORROSION · 2016
Typearticle
Languageen
FieldEngineering
TopicAluminum Alloy Microstructure Properties
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMetallurgyMaterials scienceAlloyStress corrosion crackingWeldingCorrosionAluminiumCrackingStress (linguistics)Composite material

Abstract

fetched live from OpenAlex

The fracture toughness behavior of Al-Zn-Mg alloy, A7N01S-T5, welded joints was investigated using three points bending test with the J integral approach. The microstructures of the welded joints were examined using optical microscopy, microhardness, and transmission electron microscopy. The heat affected zone (HAZ) had the best crack propagation resistance, and the weld zone (WZ) and base metal (BM) behaved similarly. The stress corrosion cracking (SCC) behavior of the welded joints was investigated under a constant loading condition. The threshold stress intensity factor of SCC and the cracks’ propagation rate were tested. The microstructure of the fracture was examined using optical microscope and scanning electron microscope. The results showed that both the BM and the HAZ were susceptible to SCC and the HAZ was smaller than the BM, but no cracks were detected in the WZ. A greater amount of H+ and a higher concentration of Zn and Mg accumulated at the crack front tips, which led to the SCC resistance weakening in the A7N01S-T5 welded joints.

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 categoriesMeta-epidemiology (narrow)
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 score0.011
Threshold uncertainty score1.000

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)0.0010.000

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 head0.015
GPT teacher head0.224
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