Preliminary Evaluation of Drag Reduction Performance for Functional Surfaces with 60-degree Riblets Subjected to Taylor-Couette Flows
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study outlines the initial development of a drag-reducing surface with a 60 triangular riblet-groove design.The research covers the design, microfabrication, and performance evaluation phases.The riblet-groove surface, designed with a lateral spacing of 57.8 m and a depth of 50 m, was based on optimized parameters from literature.Two acrylic drums were fabricated using high precision multi-axis single-point diamond turning technology, achieving excellent surface quality and form accuracy (< 2 m).One drum had a flat surface, while the other featured the riblet-groove design.The functional performance was evaluated using a rheometer-based Taylor-Couette system, which recorded torque, angular position, and normal force synchronously and simultaneously in time domain.At high angular velocities, air naturally incorporated into the Taylor vortices, leading to an unexpected drag reduction of 39.7%, likely due to air bubbles trapped in the riblet valleys acting as a lubricant.Before air inclusion, the maximum drag reduction observed was 7.1%.Further research is needed to understand this significant improvement in drag reduction and explore its potential applications in aerospace, automotive, marine, energy, and biomedical industries.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 it