Microstructure and Mechanical Properties of Ti-6Al-4V Parts Fabricated by Electron Beam Melting under Dynamic Compression Tests
Bibliographic record
Abstract
In this research, the effect of strain rate on the microstructure evolution, mechanical properties, and deformation mechanisms of the horizontally printed Ti-6Al-4V cylindrical rods produced by electron beam melting (EBM) was investigated.The initial microstructure consists of α and β phases, and columnar prior β-grain boundaries oriented along the building direction.Dynamic compression tests at three different strain rates (690 s -1 , 1580 s -1 , and 2220 s -1 ) were performed using a Split-Hopkinson pressure bar (SHPB) apparatus.The variations in dynamic mechanical properties were correlated with the microstructural features such as αplatelet width, interlamellar spacing, and fragmentation.Adiabatic shear bands (ASBs) formed in the thermally softened areas in the samples deformed at higher strain rates, which led to the fracture.The fracture of test specimen at high strain rates is attributed to the formation of voids and their subsequent growth and coalescence under thermal instability along the adiabatic shear bands during deformation.In the fractured samples, features of both ductile (presence of dimples) and brittle (smoother surfaces) were observed.With the increase in strain rate from 690 s -1 to 2220 s -1 , yield strength (YS), ultimate compressive strength (UCS), and strain-to-fracture increased by 48%, 28%, and 286%.
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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".