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

机译:基于MOGA和CFD的系列螺旋桨参数化设计与变形优化

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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:螺旋桨系列的传统手动设计过程很麻烦,有时效果会很差。它不能满足设计和制造技术的发展要求,不利于螺旋桨的性能分析和效率优化。为了方便灵活地实现这一过程,本文开发了一种方法,该方法是从串联螺旋桨的水动力试验图推导出来的,并将MOGA和CFD应用于优化。通过自行开发的CAD程序生成粒子群,以方便,准确地建立数学模型。为了进一步优化,变形过程提取了四个变量,这些变量改变了螺旋桨前倾角和偏斜角的径向分布。高度参数化和自动化的建模技术为质量CFD提供了大量3D变形螺旋桨模型,而且由于PBM的存在,它也可以快速,自动地工作。本文中的方法以一定的鲁棒性将螺旋桨的设计过程完全数字化,具有当今实际的设计意义。

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