Math-based torque converter modelling to evaluate damping characteristics and reverse flow mode operation
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents math-based torque converter modelling and simulation in both forward flow mode and reverse flow mode operations. Since a torque converter plays an important role in transferring power from an engine shaft to the transmission shaft and vice versa and affects the fuel consumption and vehicle longitudinal dynamics, simulating the dynamic behaviour of this component in different operating modes is of great importance. Our torque converter model is validated with the experimental results of the Honda CRV during the forward flow mode operation. The main focus of this research is on reverse flow mode simulation, and the application of the proposed math-based torque converter model to evaluate damping characteristics of a torque converter due to undesired disturbances generated either from engine pulsations or from road bumps and potholes. The simulation results show that a torque converter efficiently damps high frequency disturbances introduced from the engine shaft to the transmission side and vice versa.
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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 | 0.000 |
| 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