Evaluation of an Uncooled Focal Plane Array Infrared Camera for Effusion Cooling Research
Bibliographic record
Abstract
This study assessed a low-cost, uncooled ferroelectric detector infrared camera for effusion cooling research. Advances in uncooled IR technology have led to applications previously limited to research-grade cameras. The imager operated in the 7–14μm waveband and sampled up to 30 frames per second. Thermal images were made of a matte-black flat plate, downstream of two cylindrical jets with injection angles of α = 30° and 90°, and L/D = 6. Thermocouple calibration was specific to each image. Statistical analysis and image analysis yielded detailed temperature maps with uncertainty as small as 0.9°C, a spatial resolution of 0.4mm, and a sensitivity of 0.1 °C. The system compared favorably with established infrared systems. Advantages include minimal instrumentation, on-line results, and a high degree of accuracy and resolution, at significantly reduced cost.
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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 | 0.001 | 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 | 0.000 |
| 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".