Design and Analysis of Fuel Tank Baffles to Reduce the Noise Generated From Fuel Sloshing
Why this work is in the frame
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Bibliographic record
Abstract
<div class="htmlview paragraph">Fuel slosh inside an automotive fuel tank was found to generate unpleasant noise. This paper presents the analysis of several baffle designs to suppress the fuel slosh by using a commercial Computational Fluid Dynamics software, FLOW-3D<sup>®</sup>, and performing slosh experiments. Estimated mean kinetic energy and average turbulent kinetic energy of the fluid obtained from the computer simulations were used to compare with sound measurements obtained from the slosh experiments. The slosh experiments were recorded using high speed video equipment enhanced with a data acquisition system to take sound measurements. The simulation results showed that approximately 70% energy reduction from the No-baffle configuration could be achieved with the best baffle configuration. The experimental results demonstrated that at low fluid level, the performance of different baffle configurations was approximately the same. At high fluid level, the best baffle configuration can reduce the sound level by approximately 15 decibels.</div>
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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