Analyses of Non-Kinematic Conical Roll Bending Process With Conical Rolls
Bibliographic record
Abstract
High quality cones can be successfully obtained in kinematic conical roll bending process due to the no-sliding between the conical rolls and the plate. However, the performance of the process is limited because the conical rolls cannot be reused to produce other cones with different size. For the purpose of reusing the existing conical rolls to reduce the manufacturing cost, an attachment is added to the top edge of the plate. In such configuration, the top side of the conical rolls slides over the plate to reduce the local velocity near the top edge. The appropriate velocity near the top edge of the plate makes it possible to roll the plate as using the kinematic conical roll bending process. This paper deals with the modeling and simulation of such non-kinematic conical roll bending process based on the finite element method. The numerical simulation results give the relation between the gap size of the bent cone and the friction at the plate/attachment contact. Well bent cones were obtained compared with the ideal cones.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".