CFD Study Of Boss Fins’ Effect On Performance Of Marine Propellers
Bibliographic record
Abstract
With the advancing development and progressing economy, reduction in fuel consumption has proven to be a primary concern for the marine industry. This study deals with enhancing the efficiency of ship propulsion systems by reducing vortex-related losses downstream of the propeller. The method introduces a set of fins downstream the propeller placed at strategic locations pertaining to the flow field in order to reduce the vortex intensity behind and thus enhance the thrust generated. These are generally termed PBCF (propeller boss cap fins) due to the several designs having the boss cap downstream to the propeller, however, this may vary as per the ship/propeller design. For simplicity, we will refer to the boss fins as PBCF. The retro fitment of PBCF for a ship propeller is validated and the results are elaborated. Literature has been studied for past experiments for analysis of the potential of PBCF (Propeller boss cap fins) as an effective and potential energy saving device. The initial part of the paper presents the overall process of establishing an ANSYS CFX based CFD model for the standard Potsdam Propeller Test Case (PPTC) and the model's validation using the available experimental open water test results. The paper also presents a strategic design for fins for the PPTC propeller and a deep analysis of its effect on propeller performance, primarily the thrust generated and efficiency at similar operating torques. The paper also presents a study of the obtained results for pressure and velocity fields with and without PBCF for the PPTC propeller and their correlation with the overall effect on efficiency and fuel consumption.
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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".