Optimal synthesis of a two-stage asymmetric damper of an automotive suspension considering wheel camber variations
Bibliographic record
Abstract
The influences of damper asymmetry on the camber angle variations of a double wishbone type of suspension, together with the dynamic responses under measured urban road inputs at different vehicle velocities, were investigated. Simulation studies employing a kineto-dynamic quarter-car model comprising a bilinear damper revealed complex dependence of the dynamic and kinematic responses on the vehicle forward velocity. The study further revealed an increase in camber angle variations with an increase in damper asymmetry, while this increment showed a non-linear relationship with the suspension deflection. The camber angle variation under road inputs thus poses an additional design compromise apart from those associated with the well-established conflicting measures of ride comfort, rattle space, and road-holding properties. The study also investigated the synthesis of an optimal two-stage asymmetric damper to yield a compromise between these conflicting performance measures under road inputs at different vehicle forward velocities with consideration of minimal camber angle variations. A composite performance index, comprising the ride comfort and road-holding measures with limit constraint on camber angle variation, was formulated to seek optimal damper parameters. The results showed that an optimal asymmetric damper could be identified to yield acceptable design compromise over a wide speed range.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".