Ice Crystal Environment Modular Axial Compressor Rig: Effect of TWC and Temperature on Accretion Growth Rate Using Digital Image Processing
Bibliographic record
Abstract
The Ice Crystal Environment-Modular Axial Compressor Rig is a purpose-built compressor rig for investigating the physics of inflight ice crystal icing of turbofan aircraft engines. Digital Image Processing (DIP) of ice accretion video in the National Research Council (NRC) Ice Crystal Environment- Modular Axial Compressor Rig (ICE-MACR) was performed on results from a Federal Aviation Administration (FAA) funded test campaign in 2023. Adaptation of the methodology previously published is described namely using a dedicated area of the video images rather than a line of pixels. This was found to provide more consistent results run to run where ice may accrete and shed in different directions from the same vane. The results are presented in graphical form from which quantitative data can be extracted from what was originally a qualitative video. Results such as build and shed cycle frequency as a function of total water content (TWC) or temperature, the rate of growth of ice accretion as function of TWC or temperature and the time to transition from build and shed to steady growth as a function of TWC and temperature can be deduced. One main conclusion is that the rate of growth of an accretion is proportional to the TWC applied provided the TWC is above a minimum threshold.
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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 | 0.000 | 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".