Enhancing the hot-working capability of TiAl intermetallics via innovative microstructural design
Bibliographic record
Abstract
The poor hot workability of TiAl intermetallics, stemming from their high dynamic recrystallization (DRX) temperature and sluggish atomic diffusion, severely limits their application in aerospace structural components. Here, this work introduced a novel three-phase bimodal (T-B) structure achieved through triggering the cellular reaction of full lamellar microstructure, to overcome this challenge. The T-B structure lowers the DRX temperature by at least 250 °C compared to conventional microstructures in TiAl intermetallics, enabling crack-free compression at 800 °C with 60 % strain—a first for TiAl intermetallics. Notably, ultrafine grains (0.8 μm) are achieved through low-temperature thermal compression, offering unprecedented opportunities to tailor mechanical properties. It is revealed that the pearlitic-like microstructure within the T-B structure exhibits exceptional strain-hardening capacity, generating a much higher density of dislocations during hot deformation. The higher density of dislocations serves as a potent catalyst, supplying abundant driving force and ultra-fine nuclei to facilitate DRX while eliminating stress concentration at significantly reduced temperatures. Furthermore, twin-induced and grain boundary-induced DRX mechanisms are unraveled during deformation at lower temperature, highlighting the grain refinement mechanism induced by the two DRX process. Finally, a novel low-temperature thermoforming process (800–1000 °C) is proposed, circumventing the need for β -stabilizing elements and reducing oxidation risks. This work not only advances the fundamental understanding of DRX in ordered intermetallics but also provides a new pathway to improve the manufacturing process of TiAl components.
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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 | 0.000 | 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".