Evaluating the effectiveness of interference fit connections in automotive transmission component design
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
Interference fit connections are a critical aspect of automotive transmission component design, providing a robust and reliable means of joining components. This manuscript evaluates the design considerations, analysis techniques associated with interference fit connections of planetary gear carrier assembly used in automotive transmissions. The study explores the impact of interference fit on the resulting deformation and stress distribution of the component. Finite element analysis (FEA) was employed using NX NASTRAN software to simulate the assembly process and predict the stress and deformation patterns within the components. Additionally, the accuracy of the FEA predictions was studied using various test cases and validated using calculations based on Lame’s theory. The findings of this research provide valuable insights into the optimal design and manufacturing of interference fit connections in planetary gear carrier, contributing to the development of more durable and efficient powertrain systems.
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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