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Parametric Design and Deformation Optimization of Series Propellers Based on MOGA and CFD

机译:基于MOGA和CFD的系列螺旋桨参数设计和变形优化

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摘要

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.
机译:传统的手动设计过程螺旋桨繁琐,有时结果可能很差。它未能满足设计和制造技术的进化要求,对螺旋桨的性能分析和效率优化不太有利。为了容易且灵活地促进该过程,本文开发了一种方法,该方法是源自串联螺旋桨的流体动力学测试图,并且MOGA和CFD应用于优化。粒子群由自我开发的CAD程序产生,以方便和准确地建立数学模型。至于进一步优化,变形过程提取四个变量,这改变了螺旋桨耙和歪斜的径向分布。高度参数化和自动建模技术为大规模CFD提供了大量的3D变形螺旋桨型号,这也归功于PBM。本文中的方法充分地将螺旋桨设计过程与某些稳健性进行了数字化,目前具有实用意义。

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