Effect of composition and microstructure on the fatigue and creep-fatigue behaviour of Allvac 718Plus alloy
Bibliographic record
Abstract
ATI Allvac has recently developed Allvac® 718Plus™ (718Plus), a new class of nickel-base superalloy to be used in high temperature turbine engine applications. This new alloy has an in-service temperature capability that is 55°C (100°F) higher than Inconel 718 and has better processing characteristics, thermal stability, and lower raw material cost compared with other superalloys such as Waspaloy. The fatigue and creep-fatigue behaviour of three different microstructural conditions of 718Plus were investigated; the standard fine grain (ASTM 8 ±1) microstructure produced by the standard heat treatment, the standard fine grain microstructure after long term thermal exposure (732°C for 1000 h), and a fine grain microstructure with modified δ-phase particles.All three conditions of 718Plus showed a significantly improved threshold for fatigue crack propagation over the widely used disc material, Waspaloy. This is an important material property for damage tolerant engine design as it indicates that 718Plus has a potentially higher application stress range for which cracks or defects are effectively non-propagating. Waspaloy showed better creep-fatigue crack growth resistance than the 718Plus materials but prolonged thermal exposure does improve this property considerably, making it comparable to Waspaloy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".