Corrosion Behaviour of Electron Beam Melted Ti6Al4V: Effects of Microstructural Variation
Bibliographic record
Abstract
Microstructural analysis and electrochemical measurements were carried out on longitudinal and transverse planes of an additively manufactured (AM) Ti–6Al–4V rod printed in the horizontal direction by electron beam melting (EBM), and compared with those performed on a commercially available alloy. Microstructural differences in the planes parallel and perpendicular to the build direction were characterized using optical and scanning electron microscopy, X-ray diffraction, and transmission electron microscopy coupled with energy dispersive spectroscopy. The microstructures of three different locations along the transverse axis on the EBM samples were also studied. The starting point, the middle, and the end of the sample in the build direction consisted primarily of α-phase and a small amount of β-phase. On progressing from the starting point towards the end of the build, the size of both phases increased and the elemental distribution of alloying elements showed more segregation of vanadium and iron into the β-phase. The electrochemical behaviour was studied as a function of time using electrochemical impedance spectroscopy and potentiodynamic polarization. The film resistance of the wrought sample was slightly better than those of the EBM samples. The film resistance of the EBM-transverse sample improved slightly more with exposure time than that of the longitudinal sample.
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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 | 0.001 |
| 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) | 0.001 | 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".