Bearing test rig oil flow calibration
Bibliographic record
Abstract
The Institute for Aerospace Research has recently commissioned a rig for testing rolling element turbine bearings up to a shaft speed of 36000 RPM. Oil can be supplied to the bearing through the inner race or through a number of jets adjacent to the bearing. The rate at which the oil flows is an important measurement that must be made during a test. To measure the oil flow, a turbine flowmeter was installed in the oil supply line. Initially, the turbine meter was calibrated using an OT-150 ballistic flowmeter calibrator located in the laboratory. However, a 2% offset was observed during a calibration check that was performed with a weigh scale and stopwatch. It was anticipated that the variation in the viscosity (~1 at 20°C) of the fluid used in the OT-150 calibrator relative to the oil (~5 at 100°C) was the primary cause of the offset (Baker, 1991). As no reliable correction method could be found from a literature search, an in-situ calibration was performed on the rig with the use of the weigh scale and stopwatch. This report summarizes the calibration method and includes an uncertainty assessment.
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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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.006 |
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".