Optimization of the Morphogenetic Approach for In-flight Icing
Bibliographic record
Abstract
Recent improvements to the Morphogenetic approach, a Lagrangian stochastic ice accretion method, are presented. First, the mechanism of determining droplet impingement is redone in a way consistent with Eulerian droplet solvers, secondly, multi-shots have been enabled during the simulation process, and, finally, multiple mesh topologies have been enabled. The numerical method is evaluated for a NACA0012 airfoil and a GLC305 swept wing. In particular, the ability of the approach to simulate horns, feathers and of “lobster tails” or “scallops” is investigated. Numerical tests are performed to assess the accuracy of the proposed method and comparison with experimental data. An improvement in the shapes of ice is seen particularly at icing conditions where feathers are favored in two dimensions, and the lobster tails are expected to appear in three dimensions.
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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 | 0.001 |
| 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".