An Inspection Approach for Nonrigid Mechanical Parts
Why this work is in the frame
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Bibliographic record
Abstract
Nowadays, a complicated and expensive conformation jig is needed to inspect the nonrigid parts. In a free-state condition, these parts may have a significant different shape than their nominal model (CAD) due to gravity loads and residual stress. In this paper, we present a new method for automatic fixtureless inspection of nonrigid parts. The inspection in our case is limited to the profile deviation as required by ASME Y14.5 standard and the defects are dent shapes. Our method combines the curvature estimation, one of the intrinsic properties of the geometry, with the Thomson statistical test in order to identify the defects due to the inherent variations of the manufacturing process from the deformations due to the flexibility of the part. The method is tested and validated on a simulated flexible part representing a typical sheet metal from the transport industry.
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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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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