Khan, Irtiza, Corbett, Finley, Gerber, Andrew, Jeans, Tiger et Carretero, Juan.
2025.
« Automated 3D propeller modeling for integration into a shape optimization workflow ».
In Proceedings of the CSME-CFDSC-CSR 2025 International Congress (Montreal, QC, Canada, May 25-28, 2025)
Coll. « Progress in Canadian Mechanical Engineering », vol. 8.
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Résumé
Marine propeller optimization is crucial for enhancingvehicle efficiency and minimizing environmental impact. This paperdemonstrates developing a robust and automated 3D propellermodeling method which can be easily integrated into a shapeoptimization workflow using automated meshing and Reynolds-AveragedNavier-Stokes (RANS) solvers. The goal is to designhigh-performance propellers with improved efficiency and reducedcavitation. By leveraging high-fidelity 3D Computational Fluid Dynamics(CFD) simulations over low-order methods, the approach canenable better wake resolution, account for hull effects, and optimizepropellers with retrofits. The paper demonstrates the automatedmodeling process, validates it with an existing propeller, and outlinesthe optimization workflow. Future efforts will focus on employing themethodology to modify existing propellers, perform multi-objectiveoptimizations, and emphasize the role of high-fidelity CFD-drivenoptimizations in advancing sustainable marine propulsion.
| Type de document: | Compte rendu de conférence |
|---|---|
| Éditeurs: | Éditeurs ORCID Hof, Lucas A. NON SPÉCIFIÉ Di Labbio, Giuseppe NON SPÉCIFIÉ Tahan, Antoine NON SPÉCIFIÉ Sanjosé, Marlène NON SPÉCIFIÉ Lalonde, Sébastien NON SPÉCIFIÉ Demarquette, Nicole R. NON SPÉCIFIÉ |
| Date de dépôt: | 18 déc. 2025 15:15 |
| Dernière modification: | 18 déc. 2025 15:15 |
| URI: | https://espace2.etsmtl.ca/id/eprint/32436 |
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