Performance Improvement of a Heat Sink for Battery Thermal Management System
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Dissipating heat generated by onboard battery systems is a key thermal management challenge for hybrid/electric aircraft. The National Research Council Canada is collaborating with Calogy Solutions, Ltd. (Sherbrooke, Quebec, Canada) to support their development of a novel aviation battery module. The goal of the project is to optimize the heat sink design for battery thermal management system by minimizing thermal resistance as well as reducing overall weight, considering fabrication cost to be used by the industry. In this research, the original heat sink used by Calogy (plate-fin type) was numerically simulated using commercial software and the results were compared with the experiment. This was done to validate the numerical simulation was accurate enough to be used for future simulations. The heat transfer of the heat sink was enhanced by optimizing fin dimensions and spacing, and fin design modification (a first in this application), based on system analysis of a kW scale hybrid/electric aircraft. The selected model as the optimized heat sink resulted in about 34% improvement in heat transfer coefficient, and about 24% reduction in weight comparing with the original plate-fin type heat sink.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it