Laser beam welding of titanium – A comparison of CO2 and fiber laser for potential aerospace applications
Bibliographic record
Abstract
The Laser welding process is increasingly being considered for joining titanium alloy airplane structures and also for manufacture, repair and overhaul of titanium aeroengine components. Recent advancement in gas and solid state laser technology has resulted in the availability of higher beam quality Lasers which can produce narrow welds with low heat input and high weld speeds. This paper describes a study of Laser welding of the Titanium alloys Ti6-4 and Ti5553 using two types of high power Laser - a CO2 Slab Laser and a Ytterbium-Fiber Laser. The differences between both Lasers and their effect on weld quality and performance will be explained. The weld results have been evaluated referring to AWS weld quality standards, with particular reference to porosity appearance and weld profile. In addition, micro hardness measurements and tensile test data will be shown.
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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".