Optical Contouring of an Acrylic Surface for Pipe-Flow Visualization Experiments
Bibliographic record
Abstract
In this work, an acrylic surface was optically contoured to correct for the optical distortion caused by a curved surface. This method can be applied to non-invasive viewing/imaging techniques for ∞uid-∞ow experiments. Software tools were developed to aid in the design of an optically contoured acrylic test section for pipe-∞ow experiments. Numerical models were computed for a standard acrylic pipe, inner diameter 57.15 mm, with water enclosed. A corrective optic prototype was machined on a 5-axis CNC machine, and polished with 1„m-15„m diamond paste, alleviating any surface imperfections without signiflcantly altering the contoured surface. Experiments were then performed to measure the emerging optical wavefront for three test cases: (1) an acrylic half-pipe with no enclosed liquid; (2) an acrylic half-pipe fllled with water; and, (3) an acrylic half-pipe/corrective optic assembly fllled with water. The optical wavefront was found to emerge planar when utilizing a corrective optic test section. It was determined that the wavefront was corrected to within 10 wavelengths of a Helium-Neon (He-Ne) laser beam.
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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 | 0.000 | 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 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".