Predicting the formation characteristics of titanium alloy self-locking nuts
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Bibliographic record
Abstract
Titanium alloy is important for the aerospace industry because of its high specific strength as well as excellent anti-corrosion and anti-oxidative properties. In this paper, a three-dimensional thermo-mechanical coupled simulation was carried out to predict the formation characteristics of a TC4 titanium alloy self-locking nut during the upset forging process. The stability of the upset-forged material was analyzed, and the influences of initial temperature and deformation velocity on the quality of the formed material were investigated. The results show that if the length:diameter ratio of the sample is less than 3.27, the upset-forged material tends to be stable, so we selected a length:diameter ratio of 2.89. Additionally, the properties of the TC4 self-locking nut improved when the initial temperature was increase, and decreased when the velocity of the upper die was increased. Our results provide a theoretical guidance for the formation of TC4 titanium alloy nuts using upset forging.
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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) | 0.000 | 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 it