High strain-rate deformation of laser powder bed fused Ti5553 alloy
Bibliographic record
Abstract
• LPBF-Ti5553 alloy tested under dynamic impact loading at strain rates of 900-2150 s⁻¹. • Strength and ductility increased simultaneously with strain rate. • Grain refinement and texture softening contributed to enhanced plasticity. • EBSD revealed lattice distortion and dislocation accumulation. This study investigates the dynamic impact loading behavior of laser powder bed fused (LPBF) Ti-5Al-5 V-5Mo-3Cr (Ti5553) alloy using a Split Hopkinson Pressure Bar (SHPB) system at strain rates of 900–2150 s −1 . Microstructural characterization by OM, SEM, XRD, and EBSD was performed to assess the grain morphology, crystallographic texture, and deformation mechanisms. Results revealed a strain-rate-dependent increase in the yield strength, ultimate compressive strength (UCS), and ductility, attributed to strain-rate hardening, grain refinement, thermal softening, and a texture transition toward the 〈110〉 orientation. The UCS increased from 1230 MPa to 1385 MPa (12.6 %) as the strain rate rose from 900 s −1 to 2150 s −1 , while strain rose from 0.075 to 0.196, indicating enhanced ductility and impact resistance. EBSD revealed progressive lattice distortion and dislocation accumulation with increasing strain rate. Macro and micro texture analyses showed a transition from a solidification-driven 〈001〉 texture to a strain-induced 〈110〉 orientation, suggesting that slip along {1 1 0}〈111〉 systems can be a major deformation mechanism. No adiabatic shear banding was detected, confirming thermal and microstructural stability under dynamic impact loading under the tested conditions. These findings provide new insights into the high strain-rate response of LPBF-Ti5553 and support its potential for demanding aerospace and structural applications.
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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) | 0.001 | 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 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".