Bibliographic record
Abstract
In this study we report an experimental determination of the segregation coefficients of some elements in commercial titanium alloys. The methods used are point analysis of as-cast alloys and analysis of zone-melted samples. The as-cast samples for point analysis consisted of laboratory arc-cast ingots and also of sections of as-cast vacuum-arc remelted ingots of conventional industrial sizes. The zone-melted samples were prepared from either an optical furnace system or from an induction zone refiner. In both these cases the melting was carried out under argon of 35 kPa pressure to prevent volatilization of alloy elements. We find that the values of segregation coefficients determined differ significantly from those derived from binary phase diagrams, due to the strong inter-element interactions in these systems, but follow the general trends to be expected from the reported liquidus/solidus relationships. The implications of the results in terms of the segregation to be expected in commercial ingots prepared by either vacuum arc remelting or by hearth remelting is discussed and it is concluded that proposed new alloy compositions containing substantial amounts of Fe and Cr will prove difficult to manufacture with adequate composition control as a result of the segregation of these elements during solidification.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".