Study of laser cold-wire welding of thick aluminum sheets along different gap size and laser-to-wire position
Bibliographic record
Abstract
In recent years, there has been growing interest in joining thick aluminum sheets in various markets such as railcar, shipbuilding and aerospace. Laser cold-wire (LCW) welding was developed in this study to join 5.0 mm thick AA6005-T6 aluminum sheets in butt joint configuration. To investigate the gap bridging ability of LCW technique, a process parameter optimization was performed for three different gaps ranging from (I) 0.25-0.50 mm, (II) 0.50-0.70 mm and (III) 0.70-1.00 mm. The effect of a linear misalignment was also studied by applying a 0.75 mm misalignment (15% of the sheet thickness) during joint preparation. The result of this study showed that the LCW can easily sustain the gap and misalignment tolerances of 0.75 mm. The welded joint integrity with different gaps and misalignments was characterized in terms of the weld bead geometry, defects, macrostructure, hardness and tensile strength.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".