Rotor airfoil aerodynamic design and evaluation software HRADesign

SUN Junfeng; LU Fengshun; HUANG Yong; JIANG Xiong; MOU Bin; XU Yong

doi:10.7638/kqdlxxb-2019.0106

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Rotor airfoil aerodynamic design and evaluation software HRADesign

更新时间：2026-05-28

- Rotor airfoil aerodynamic design and evaluation software HRADesign
- Vol. 39, Issue 4, Pages: 59-68(2021)
- 作者机构：
  
  中国空气动力研究与发展中心,绵阳,621000
- 作者简介：
- 基金信息：
- DOI：10.7638/kqdlxxb-2019.0106
  CLC： V211.3
- Published：2021
- 稿件说明：
移动端阅览
孙俊峰, 卢风顺, 黄勇, 等. 旋翼翼型气动设计与评估软件HRADesign[J]. 空气动力学学报, 2021, 39(4): 59−68.

SUN Junfeng, LU Fengshun, HUANG Yong, et al. Rotor airfoil aerodynamic design and evaluation software HRADesign[J]. 2021, 39(4): 59-68.
孙俊峰, 卢风顺, 黄勇, 等. 旋翼翼型气动设计与评估软件HRADesign[J]. 空气动力学学报, 2021, 39(4): 59−68. DOI： 10.7638/kqdlxxb-2019.0106

SUN Junfeng, LU Fengshun, HUANG Yong, et al. Rotor airfoil aerodynamic design and evaluation software HRADesign[J]. 2021, 39(4): 59-68. DOI： 10.7638/kqdlxxb-2019.0106.

摘要

HRADesign系统作为通用旋翼翼型气动设计和评估系统，研制目的主要是为工业设计环境提供通用、高效、鲁棒的优化设计架构，应用于各类旋翼翼型族的设计，提高旋翼翼型设计的效率和精度，以满足先进直升机对高性能旋翼翼型的迫切需求。旋翼翼型设计技术是直升机旋翼设计的核心技术，旋翼翼型的优化设计具有多点、多目标、强约束的特点。HRADesign系统针对旋翼翼型设计的特点，发展了多目标进化算法、PCA多目标降维技术、Kriging代理模型、基于CST方法的翼型参数化技术以及高精度CFD等优化设计技术，构建了基于进化算法的多目标优化流程。通过详细介绍平台的系统架构、主要的功能模块以及多目标优化流程，展现了系统架构设计的灵活性和功能模块的完备性。通过ADODG基准测试算例、某厚度旋翼翼型常规多目标优化算例和考虑多目标降维的优化算例进行了系统功能验证，优化结果表明，在满足约束的条件下，优化后的旋翼翼型和基准翼型相比，综合性能都有明显改善，验证了优化设计系统的有效性、可靠性。

Abstract

The HRADesign is a general-purpose rotor airfoil aerodynamic design and evaluation software platform. The main purpose of developing this platform is to provide an universal

efficient

high-fidelity

and robust design optimization framework for designing high-performance rotor airfoils of advanced helicopters. Rotor airfoil design

which is a multi-point

multi-objective

and strong-constrained process

is one of the core techniques of helicopter rotor aerodynamic design. According to the characteristics of rotor airfoil design

the HRADesign has developed multi-objective evolutionary algorithms

a PCA multi-objective dimensionality reduction technique

an airfoil parameterization based CST method

Kriging surrogate models

high-fidelity CFD analysis tools and so on

and has also constructed a multi-objectives optimization process based on evolutionary algorithms. By introducing the platform architecture

the main functional modules

and the multi-objective optimization process in detail

the flexibility of the system architecture design and the completeness of the functional modules are demonstrated. At last

system functions had been verified through three examples including a ADODG benchmark case

a conventional multi-objective rotor-airfoil optimization

and an optimization test considering multi-objective dimensionality reduction. The results show that the overall performance of the optimized rotor airfoil is significantly improved under the constraints

which verifies the effectiveness and reliability of the optimization system.

关键词

Keywords

references

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