Parametric Design and Deformation Optimization of Series Propellers Based on MOGA and CFD
| Autor: | Wang Yan, Yan Wei, Jie Tong, Xin-wang Liu, Jen-shiang Kouh, Li Xiangfei |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0106 biological sciences
Computer science Rake Skew Propeller Particle swarm optimization Control engineering computer.software_genre 010603 evolutionary biology 01 natural sciences Parametric design 010104 statistics & probability Robustness (computer science) Design process Computer Aided Design 0101 mathematics computer |
| Zdroj: | 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO). |
| DOI: | 10.1109/oceanskobe.2018.8559044 |
| Popis: | The traditional manual design process of Series Propellers is cumbersome, and the results can be poor sometimes. It fails to meet the evolutionary requirements of design and manufacturing technology and is less favorable to the performance analysis and efficiency optimization of the propeller. In order to easily and flexibly facilitate this process, a method has been developed in this paper, which was derived from hydrodynamic test charts of series propellers, and the MOGA and CFD are applied to the optimization. The particle swarm is generated by self-developed CAD program in order to establish the mathematical model conveniently and accurately. As for further optimization, the deformation process extracts four variables, which alters the radial distribution of the Rake and Skew of the propeller. Highly parameterized and automated modeling technique provides plenty of 3D deformation propeller models for mass CFD, which also works quickly and automatically thanks to PBM. The method in the paper fully digitize the propeller design process with certain robustness and has practical significance design today. |
| Databáze: | OpenAIRE |
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