Parametric study of cold wire tandem submerged arc welding of heavy gauge X70 linepipe steel
Bibliographic record
Abstract
Abstract Cold wire tandem submerged arc welding (CWTSAW) has been developed to improve the productivity (i.e., deposition rate and travel speed), and to control the weld and heat-affected zone (HAZ) geometry and mechanical properties of heavy gauge pipe. A series of CWTSAW trials were conducted on thick-wall American Petroleum Institute (API) X70 steel plates to investigate the effect of cold wire feed speed (CWFS), heat input (HI) and bevel design (BD) on the resulting geometry (e.g., height of reinforcement area (HRA), bead toe angle (BTA) and coarse grain heat-affected zone (CGHAZ) area) and micro-hardness of the weld and HAZ. The phase fraction of martensite-austenite (MA) constituents was measured using optical microscopy (OM) and scanning electron microscopy (SEM). Vickers micro-hardness measurements were taken of the weld metal and across the HAZ. The geometry and hardness measurements were statistically correlated with the weld parameters using Taguchi methodology. The results showed that the weld bevel design (BD) was the dominant factor influencing the HRA, CGHAZ area and BTA. Cold wire feed speed (CWFS) had a strong influence on the micro-hardness and phase fraction of MA constituents in the CGHAZ.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".