Study of Trimming Behavior of Automotive AZ31 and ZEK100 Sheet Materials
Bibliographic record
Abstract
The trimming behavior of AZ31 and ZEK100 automotive magnesium sheet materials was investigated using lab-based experiments. The effects of trimming process parameters; trimming speed, clearance and tool setup configuration, on quality of trimmed edge were analyzed. Experimental results indicated strong dependence of trimmed edge quality on trimming process conditions. Clearance between punch and die had the most significant influence on the trimming behavior of AZ31 and ZEK100, both the punch load peak and quality of trimmed edge decreased with increase of clearance. The larger is the clearance, the later the crack initiates. ZEK100 was more sensitive to smaller clearance compared to AZ31. Trimmed edge quality of AZ31 and ZEK100 Mg sheets improved with increase in trimming speeds up to 5 mm/sec. The tool setup configuration with cushion consistently resulted in better trimmed edge quality and especially help with burr height reduction which is a key parameter for assessing the quality of the trimmed edge.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".