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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".