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Record W4406436276 · doi:10.29391/2025.104.008

The Effect of CWTSAW on the Toughness of Heavy-Gauge X70: Part I – Correlating HAZ Microstructure with Cold Wire Feed Rate

2025· article· en· W4406436276 on OpenAlexfundno aff
Tailin Ren, J. B. Wiskel, Douglas G. Ivey, LEIJUN LI, HANI HENEIN, Laurie Collins, GREG LEHNHOFF, M. Gaudet, Eric Willett

Bibliographic record

VenueWelding Journal · 2025
Typearticle
Languageen
FieldEngineering
TopicSilicon and Solar Cell Technologies
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMicrostructureMetallurgyToughnessMaterials scienceGauge (firearms)WeldingComposite material

Abstract

fetched live from OpenAlex

The effect of cold wire feed rate (CWFR) on martensite-austenite (MA) constituent morphology and prior austenite grain (PAG) size in the heataffected zone (HAZ) of heavy gauge (19.1 mm thick) X70 microalloyed steel welded by cold-wire tandem submerged-arc welding (CWTSAW) was studied. A series of single-pass CWTSAW trials were made using cold wire feed rates (CWFRs) of 0 mm/s, 16.9 mm/s, and 33.9 mm/s, which corresponded to effective heat inputs of 2.9 kJ/mm, 2.6 kJ/ mm, and 2.3 kJ/mm, respectively. The PAG size and MA constituent morphology (area and aspect ratio distribution) were measured using optical microscopy. The average PAG size in the coarsegrained HAZ (CGHAZ) was reduced from 139 μm to 83 μm as the CWFR was increased from 0 mm/s (2.9 kJ/mm) to 33.9 mm/s (2.3 kJ/mm). The total number of MA constituents and the area fraction of MA in the CGHAZ were lowest for the intermediate CWFR of 16.9 mm/s (2.6 kJ/mm).

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)0.001
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 score0.257
Threshold uncertainty score0.293

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.004
GPT teacher head0.195
Teacher spread0.191 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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