Multi-Material Topology Optimization of an Urban Air Mobility Vehicle Battery Pack
Why this work is in the frame
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Bibliographic record
Abstract
View Video Presentation: https://doi.org/10.2514/6.2023-1578.vid Urban air mobility (UAM) has been presented as an alternative form of transport for intra and inter-city travel in urban centers where there are significant limitations to ground travel due to traffic. Lithium-ion battery packs are used in these aircraft to provide power to the electric motors during both cruise and vertical takeoff and landing (VTOL). These battery packs contribute significantly to the overall weight of the UAM vehicle. Therefore, minimizing the mass of the battery packs contributes to the performance. The objective of this work is to create an optimized lightweight design for the battery pack housing while still meeting the structural requirements needed to protect the battery pack. A finite element model for the battery pack is used to determine the nodal forces applied on an individual battery module due to acceleration loads and the interactions with the other battery modules. Several different material combinations are tested and compared based on the minimization of both mass and compliance of the structure. Multi-material topology optimization is then performed on the individual battery module with the objective to minimize the compliance and mass of the structure subject to structural constraints. The optimized design is then evaluated using finite element analysis to ensure the structural, thermal, and material considerations are met. This work presents the final optimized design for the lightweight battery housing.
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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) | 0.001 | 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 it