Bird strike analysis on jet engine fan blade
Bibliographic record
Abstract
Bird strike otherwise called as avian ingestion is the collision between the bird and the aircraft. It is a very dangerous situation in the field of aviation. Bird strike usually occurs at low altitude during take-off and landing of the aircraft. The bird strike in the jet engine is very dangerous because when a bird hits the fan blade the fan blade is displaced into other fan blade causing the cascading failure. The main objective of this project is to analyze bird strike on the aircraft jet engine Fan blade. Hemispherical Model is used to design the Bird Model. The Canadian goose and GE-NX 2B engine Fan Blade is taken to perform the analysis. The Calculation of the dimensions of the bird model is done. The fan Blade and Bird Model is designed and then assembled using CATIA V5R20. The material Properties is defined for both Bird Model and Fan Blade. The analysis is done and an attempt is made to discuss Deformation, Stress, and Strain on the Fan Blade depending on the Relative Velocity. ANSYS- Explicit Dynamics was used to analyze the Model.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.003 | 0.001 |
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".