Phase stability, microstructure, and mechanical properties of the ultra-strong lightweight eutectic AlCr1.3TiNi2 alloy
Bibliographic record
Abstract
Thermal stability of the newly developed AlCr 1.3 TiNi 2 lightweight complex concentrated alloy (CCA) was assessed through a retention study of the phase composition, microstructure and mechanical properties after thermal exposures up to 1100 °C. The as-cast alloy with a density of 6.42 g/cm 3 , hardness of 669 HV, yield stress, ultimate compressive strength, and fracture strain of 1364 MPa, 2384 MPa and 19 %, respectively, displayed a near eutectic predominantly lamellar structure consisting of the Heusler-like L2 1 phase rich in Ni, Al, and Ti, and BCC phase rich in Cr. Although there was a partial change from lamellar to rod-like morphology during heating with some spheroidization, the overall coarsening of the lamellae was limited, and the initial lamellae width of 200–250 nm still remained below 500 nm after 10 h exposure at 1100 °C. The phase and microstructural stability was accompanied by the high retention rate of mechanical properties where the alloy retained about 95 % of its initial hardness, 94 % of yield stress and 66 % of ultimate compressive strength after exposures up to 1100 °C. Despite the anomaly of strength retention, the specific properties of this alloy are advantageous than that for conventional superalloys, high entropy alloys and CCAs designed for high temperature service.
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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) | 0.000 | 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".