Finite Element Simulation for Electric-Car Chassis Development from Scratch
Bibliographic record
Abstract
Indonesian engineers need to design and build their electric car chassis from scratch. These cars need to possess high torsional stiffness and maximum Von Mises Stress value. Therefore, this determines the value of Torsional Stiffness and Von Mises Stress from an electric car scratch chassis using Finite element simulation. A twist load was placed in front, with back support used to determine the torsional stiffness. The stress was analyzed using three types of loading, namely; vertical, lateral, and braking. Meanwhile, the JIS G 3141 galvanized plate with a thickness of 1 mm and 1.2 mm from Indonesia's marketplace was the chassis material used. The simulation results showed that the maximum Von Mises Stress value with a thickness of 1.2 mm produces safe strength, with a torsional stiffness of 11735 Nm/deg. In conclusion, the rigidity and strength of the chassis with a plate thickness of 1.2 mm is in a proper category. Furthermore, this chassis can be used for the development from scratch of an electric car.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".