Measuring Mechanical Properties of Fillet Arc T-Welded Aluminum Alloy AA7xxx Extrusions Using Digital Image Correlation
Bibliographic record
Abstract
There has been an increasing interest in fabricating automotive components from copper (Cu)-lean 7xxx-series aluminum (Al) alloys because of their relatively high strength, toughness, energy absorption, weldability, and formability. Fusion arc welding is a preferred process to join these alloys to other Al alloys during assembly. A study was undertaken to characterize the mechanical (tensile-shear) response of single-sided fillet arc T-welded joints between Cu-lean AA7xxx extrusions and AA6063 sheet made using the gas metal arc-welding (GMAW) process and ER5356 filler wire. Strain measurements were made using an ARAMIS system based on digital image correlation (DIC). An upper-bound analysis (UBA) was conducted to derive an empirical model of the upper-bound strength of the arc-welded joints. The good agreement between the predicted and experimental results shows that the empirical model can be used to evaluate the tensile-shear response of the dissimilar Al alloy arc-welded joint.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".