An Adaptive Seat Suspension System for the Mitigation of Whole-Body Vibration
Bibliographic record
Abstract
This paper presents the development, and design optimization of a novel MRE-based semi-active seat suspension system to mitigate the whole-body vibration (WBV) transmitted to the helicopter’s pilot. The semi-active seat suspension system includes an MRE-based isolator along with “parallel-series passive springs” to mitigate the vibration transmitted to human body. The proposed suspension system permits relatively large strokes for the suspension system to tolerate the human body’s weight, while maintaining the MRE to be operated within its linear deformation range. To this end, several MRE samples with 25% volume fraction of iron particles were fabricated and characterized under shear mode. A field- and frequency-dependent phenomenological model is developed to predict the MREs’ mechanical properties (storage and loss moduli) as functions of the excitation frequency and applied magnetic field. The proposed model permitted design optimization of a C-shaped MRE vibration isolator. The MRE isolator along with the three passive springs were optimally designed with large strokes of 15mm. Results showed that by increasing the applied current from 0 to 2A, the equivalent stiffness of the adaptive seat suspension increased from 8.94kN/m to 17.5kN/m. The system resonance frequency shift from 1.76Hz to 2.27Hz, corresponding to a frequency shift percentage of 29%.
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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 | 0.000 |
| 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 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".