Parametric simulation of tool and workpiece interaction in broaching operation
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Bibliographic record
Abstract
The main objective of the presented paper is developing a new methodology for analytical simulation of broaching operation for the given profiles of workpiece. By utilising B-spline parametric functions, the generalised parametric approach which is developed in this paper is able to represent a broaching tool cutting edge with any arbitrary profile. The instantaneous tool-workpiece engagement is then automatically extracted for the provided broaching tool geometry using analytical parametric curve intersection approach. The chip area can be used directly to predict the cutting forces in orthogonal broaching or it can be segmented into elements to predict the cutting forces in oblique broaching. The results of the proposed method have been validated by series of experiments. These results have also been verified against the results of previously published works. The good agreement between the predicted engagement parameters and those which obtained from the experimental measurements confirms the validity of the proposed methodology.
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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 | 0.001 | 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 it