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Microstructures and properties of Mg alloy/DP600 steel dissimilar refill friction stir spot welds

2015· article· en· W2034956284 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

VenueScience and Technology of Welding & Joining · 2015
Typearticle
Languageen
FieldEngineering
TopicAdvanced Welding Techniques Analysis
Canadian institutionsNatural Resources CanadaUniversity of Waterloo
Fundersnot available
KeywordsMaterials scienceMicrostructureSpot weldingMetallurgyAlloyComposite materialWelding

Abstract

fetched live from OpenAlex

Joining of ZEK100 Mg alloy and Zn coated DP600 steel sheets is studied using refill friction stir spot welding (RFSSW). The RFSSW process involves a tool with independently moving sleeve and pin components, which rotate at a constant speed and penetrate into only the top sheet. Welds could be achieved, which exceeded 4.7 kN shear strength, using the following process parameters: 1800 rev min − 1 tool speed, 3.0 s welding time and 1.5 mm of penetration into the upper ZEK100 sheet. Scanning electron (SEM) and transmission electron microscopy (TEM) are used to characterise the Mg/steel interface. It is revealed that a continuous layer of FeAl 2 particles accommodate bonding of the sheets, which appears to have originated from the galvanised coating on the DP600.

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 score0.027
Threshold uncertainty score0.392

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.018
GPT teacher head0.235
Teacher spread0.217 · 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