Laser Digitizer/Stereo Vision Methods for Simultaneous Measurement/Analysis of Sheet Metal Forming Strain/Geometry
Bibliographic record
Abstract
Conventionally, strain has been measured using scribed, etched, or printed grids together with a ruler and dividers or a graduated, transparent Mylar® overlay. Touch trigger probe equipped Coordinate Measuring Machines (CMMs) are used to measure geometry. More recently, stereo computer vision has been proposed, but, because accuracy quickly diminishes with camera distance to the part, application has been limited to small test samples. On CMMs, laser digitizers are growing in use. To date, however, accurate, simultaneous measurement / analysis of both strain and geometry has not been reported. This paper presents two new CMM based research methods that address this. The laser digitizer method uses a circle grid, and the stereo computer vision approach uses a square grid. Parallel computing is used to accelerate computer processing time. A dual thickness tailor welded steel test dome, an aluminum test dome, and a wrinkled double layer truck part illustrate practical application.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".