Deformation Behavior and Microstructure Evolutions in Ti-6Al-4V Extrusion
Bibliographic record
Abstract
The metal-forming behavior and microstructure evolution in Ti-6Al-4V during backward extrusion for tube making are investigated. 2-D FE simulation was used. Dynamic materials model (DMM) including instability criterion and the modified Cockcroft-Latham criterion were employed to predict the forming defects and to predict the crack formation inside or outside the extruded tube. The soundness and microstructure of the backward-extruded tubes are affected by process parameters, such as billet temperature, extrusion speed, die geometry and temperature, lubrication and heat transfer conditions. Local microstructures in the deformed tubes were simulated based on the specimen-base compression tests in relation to the process parameters. The simulation results for the backward extrusion were compared with the experimental observations. The die chilling and deformation heating showed a great influence on the deformation mode and the evolution of microstructures. The changes and non-uniformities in the microstructure of extruded tubes were attributed to non-uniform distribution of strain and temperatures in the extruded tubes for the given test conditions.
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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".