Robust design of a fan rotor blade by sweep and lean optimization with surface roughness

Author:

Yu Man1ORCID,Shi Lei1,Yu Peng2,Yao Ka34

Affiliation:

1. Sino-European Institute of Aviation Engineering, Civil Aviation University of China, Tianjin, China

2. ISAE-SUPAERO, Toulouse, France

3. Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei, China

4. Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing, China

Abstract

In order to reduce the fan rotor aerodynamic performance degradation caused by the increasing of blade surface roughness, optimal design of high bypass ratio fan rotor blade with surface roughness was carried out to improve the aerodynamic performance of the fan rotor in long-term flight operation. With the condition of surface roughness uniformly distributed on the blade, the fan blade was optimized by using sweep and lean technology, and the aerodynamic characteristics of the fan blade with different surface roughness were numerically investigated. Numerical results show that the overall aerodynamic performance of the fan rotor decreases as the equivalent sand roughness k s of the blade increasing from 3 μm to 150 μm. The isentropic efficiency of the original blade decreases by 1.56% when the surface roughness reaches 150 μm. Composite sweep and lean optimization was carried out when k s = 80 μm, the isentropic efficiency of the optimized blade at design point is increased by 0.28%, the second optimization based on the optimized blade above by using the reverse lean technology further improved the fan isentropic efficiency by 0.12%, the degradation caused by surface roughness was reduced by optimization, and the robust design of fan rotor blade was achieved.

Funder

National Key Laboratory of Science and Technology on Aerodynamic Design and Research Open Fund Project

Publisher

SAGE Publications

Subject

Mechanical Engineering,Aerospace Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3