Test rig for high speed electromechanical flywheels in Sub Saharan Africa
Bibliographic record
Abstract
This paper presents a test rig designed at the University of Cape Town to evaluate the performance of a high speed electromechanical flywheel for energy storage. The electromechanical flywheel is specifically designed to enhance rural electrification through improving the energy storage component in solar home systems. A safe, flexible and low vibration test rig has been designed. Modal analysis using an FE package ANSYS was used to validate the low vibrations at high speed rotation. Special attention was given to the alignment issues and this was done to avoid imbalance in the rig. The rig has the ability to test up to 40,000 rpm flywheel with maximum diameter of 0.55 m as is. With changes in the bearings, much faster flywheels can be tested. In addition, the rig was built to ensure testing under various operating environments. A thermal model was developed for the rig and simulated with analytical and FE packages. Sensors are installed in the containment to monitor performance of flywheel system.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".