Directed energy deposition processing of titanium alloys Ti-6242 and Beta 21S
Bibliographic record
Abstract
The objective of this research was to assess the response of two titanium alloys to directed energy deposition (DED). The alloys considered were Ti-6242 (near-alpha alloy) and Beta 21-s (beta alloy). The same experimental methods were employed for each alloy with different variable ranges. The first design of experiments (DOE) varied the laser power and traverse rate, with sample density as the dependent variable. A second DOE then varied laser power, traverse rate, hatch spacing, layer thickness and powder feed rate. The optimal parameter set determined was then utilised to prepare specimen for tensile testing and heat treatment studies. Both alloys were successfully processed, producing samples with densities >99.8% of full theoretical. The alloys also responded favourably to heat treatments, with resultant microstructures comparable to wrought. Mechanical properties were near wrought in terms of tensile strength but suffered from somewhat inferior tensile ductility.
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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".