Some Considerations In Modeling Axisymmetric Deep Drawing And Redrawing Process And LDR Prediction
Bibliographic record
Abstract
The drawability of sheet material in deep drawing followed by redrawing has not been studied theoretically in detail. In addition, the clamping force during deep drawing has not been properly simulated by FE method in the past due to the neglect of the operating machine stiffness. Both of these aspects are studied in this work. A new FE model for deep drawing and redrawing has been developed, which accounts for the operating machine stiffness. In this model, the draw die is connected to a semi‐rigid component of the test frame by spring elements so that the stiffness of the operating machine can be controlled by the stiffness of these springs. Also, a mathematical model to determine the limiting drawing ratio (LDR) of deep drawing and redrawing processes has been derived based on the extension of an existing analytical model and Hill’s anisotropic criterion. The results of the mathematical model have been validated by corresponding experimental and FE simulation work in terms of punch load and clamping force versus punch displacement and thickness distributions along the product profile.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 teacher head, 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".