基于粒子群优化算法的翼型反设计

Fifth International Conference on Computer Information Science and Artificial Intelligence Pub Date : 2023-03-28 DOI:10.1117/12.2667289

Qinghe Zhao

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引用次数: 0

摘要

粒子群优化算法具有全局寻优的特点。采用带CST翼型参数化的欧拉方程，保证了光滑翼型的生成。建立了基于粒子群优化算法的翼型反设计优化系统。设计实践表明，本文提出的优化算法可以大大提高优化设计的效率，具有良好的工程实用价值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Airfoil inverse design based on particle swarm optimization algorithm

Particle swarm optimization algorithm has the characteristics of global optimization. The Euler equation with CST airfoil parameterization is used to ensure the generation of smooth airfoil. The airfoil reverse design optimization system is build based on particle swarm optimization algorithm. The design practice shows that the optimization algorithm developed in this paper can greatly improve the efficiency of optimization design and has good practical value in engineering.

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Fifth International Conference on Computer Information Science and Artificial Intelligence

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