基于复合弯掠技术的轴流风机叶轮优化

胡俊; 金光远; 崔政伟; 陈海英

doi:10.7638/kqdlxxb-2017.0197

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基于复合弯掠技术的轴流风机叶轮优化

研究论文 | 更新时间：2026-05-28

- 基于复合弯掠技术的轴流风机叶轮优化
- Composite optimization of lean and sweep for axial flow fan impeller
- 空气动力学学报 2019年37卷第6期页码：966-973
- 作者机构：
  
  江南大学机械工程学院,江苏,无锡,214122
- 作者简介：
  
  胡俊(1993-), 男, 湖北仙桃人, 硕士研究生, 研究方向:叶轮机械气动和声学特性.E-mail:hujun123edu@163.com
  金光远(1979-), 女, 辽宁铁岭人, 副教授, 研究方向:叶轮机械气动声学性能及叶片弯掠控制技术.E-mail:gyuanjin@jiangnan.edu.cn
- 基金信息：
  
  国家自然科学基金（21606109）;中央高校基本科研业务费专项资金（JUSRP51634B）;江苏省自然科学基金青年基金项目（BK20130150）
- DOI：10.7638/kqdlxxb-2017.0197
  中图分类号： TH432.1
- 纸质出版：2019
- 稿件说明：
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胡俊, 金光远, 崔政伟, 陈海英. 基于复合弯掠技术的轴流风机叶轮优化[J]. 空气动力学学报, 2019, 37(6): 966-973.

HU Jun, JIN Guangyuan, CUI Zhengwei, et al. Composite optimization of lean and sweep for axial flow fan impeller[J]. 2019, 37(6): 966-973.
胡俊, 金光远, 崔政伟, 陈海英. 基于复合弯掠技术的轴流风机叶轮优化[J]. 空气动力学学报, 2019, 37(6): 966-973. DOI： 10.7638/kqdlxxb-2017.0197.

HU Jun, JIN Guangyuan, CUI Zhengwei, et al. Composite optimization of lean and sweep for axial flow fan impeller[J]. 2019, 37(6): 966-973. DOI： 10.7638/kqdlxxb-2017.0197.

摘要

基于叶轮机械全三维优化设计平台NUMECA/Design 3D，采用人工神经网络和遗传算法相结合的方法，通过复合弯掠技术对一低压轴流风机叶轮空间弯掠积叠线进行三维优化设计。优化目标为在设计工况点保持风机流量不变，尽可能提高气动效率和全压升。结果表明：复合弯掠优化使叶轮设计工况点的效率和全压升分别提升约1.92%和3.98%。复合弯掠优化使叶片负荷重新分布，改善了叶顶和叶根区域的流动，同时抑制了叶轮近吸力面叶根角区的流动分离和减小了叶顶泄漏涡的强度和影响范围，降低了流动损失，提高了叶轮气动性能。

Abstract

Based on the full three dimensional optimization software of NUMECA/Design 3D

both artificial neural network (ANN) and genetic algorithm (GA) were used to optimize axial flow rotor by using the three dimensional combination of lean and sweep stacking line. The optimization objective is to maximize efficiency and total pressure rise at design operation point while maintaining mass flow. Results revealed that

based on the three dimensional combination of lean and sweep optimization

the overall aerodynamics performance of the optimized rotor was improved. It is found that the efficiency of the optimized rotor is increased by 1.92% and its total pressure is increased by 3.98% at design operation point. The composited optimization of lean and sweep could adjust load distributions on the blade surface

improve the flow near the blade tip and hub

and suppress the flow separation near the corner area of blade root. Furthermore

the optimization reduced the strength and the influence range of the tip leakage vortex

which reduced the flow loss and enhanced the blade working ability.

关键词

Keywords

references

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