Buggy Role Cage – Analysis and Design
Bibliographic record
Abstract
Design and analysis of Buggy roll cage commonly used as a recreational vehicle on off road terrains have been studied. These vehicles are usually modified from their existing design to provide performance and safety. In this research paper, an attempt has been made to design a roll cage for a buggy considering different members of the roll cage. In this context roll cage has been drawn on solid works CAD software and has been analyzed using finite analysis by applying the different boundary conditions. The roll cage has been designed considering the AISI 4130 steel and carbon fiber considering five cases such as front impact, side impact, rear impact, drop test and roll over test to ensure safety of the operator to survive the impact scenario. The main significance of this study is to analyze buggy role cage from safety point of view of operator. From these results it can be concluded that carbon fiber roll cage is also one of the promising alternatives for roll cage design and can be recommended from safety point of view.
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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".