Effects of Various Geometric Designs on the Flow Characteristics of a Triangular Rotary Engine
Bibliographic record
Abstract
Although rotary engines can potentially be used as hydrogen fuel engines, the contact condition between the casing and the apex seal on the triangular rotor impacts sealing performance, which then directly affects leakage problems. In this paper, therefore, a rotary engine’s internal gas flow characteristics are investigated by using the CFD package FLUENT to construct a fluid analysis model. For comparative convenience, assuming that the simulated gas is air, and then, using a set circular radius outside the casing, analyze three different cases with various geometric design parameters (the K factor) and their effects on the internal pressure, streamlining, and leakage. The results indicate that the K factor design produces different rotor profiles with different working chamber volumes: the lower the K factor, the larger the working chamber volume. Nevertheless, although this design can improve the combustion and compression efficiencies, it may lead to increased internal pressure variation and raised pressure. In addition, when the clearance is small, it may result in a larger leakage problem, negatively affecting rotary engine performance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".