Thermo-Elastic mechanics of Morphing Lattice Structures with Application in Shape Optimization of BLI Engine Intakes
Bibliographic record
Abstract
The boundary layer ingesting (BLI) engine configuration has been theoretically proven to reduce fuel burn compared to conventional engine configuration. This reduced fuel burn, can be potentially offset by reduced stability and efficiency of the fan stages due to the distorted flow. This thesis presents a novel shape morphing strategy of a BLI engine’s duct employing 3D lattice materials. The aircraft's intake engine duct morphs from an ideal shape with minimized flow distortion to a shape that optimizes pressure recovery. The duct was modeled using bi-material lattices with varying elastic, thermal conductivity and thermal expansion properties. The lattices and the external thermal boundary were varied functionally while subjected to convective and aerodynamic boundary conditions. The shape morphing was achieved which targeted radial expansion of the ducts where majority of the duct sections are morphed to a shape that is within 1% of the duct diameter of the targeted optimum shape.
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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 | 0.001 |
| 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".