Large Eddy Simulation of an Open Rotor Fan Blade

空气动力学 转子(电动) 雷诺平均Navier-Stokes方程 推进器 唤醒 大涡模拟 起飞 计算流体力学 流动分离 湍流 层流 空气声学 航空航天工程 工程类 螺旋桨 计算机科学 机械 物理 机械工程 声学 海洋工程 声压
作者
Stephan Priebe,Trevor H. Wood,Junsok Yi,Arash Mousavi
标识
DOI:10.1115/gt2022-80538
摘要

Abstract Open rotor fan blades, when exercised across a range of operating conditions and design options, present a variety of complex flow physics including leading-edge flow separation, wake evolution and interaction effects, and laminar-to-turbulent transition. In this paper, we present a large-eddy-simulation (LES) study of a three-dimensional open rotor fan blade at realistic conditions. Specifically, we focus in this paper on takeoff conditions, run at a Reynolds number representative of a subscale rig typically used for aeroacoustic technology maturation testing, to explore the flow behavior and its effects on takeoff aerodynamic performance and aeroacoustics that contribute to community noise. The simulations were performed using GENESIS, a high-order unstructured LES solver. The convergence of the solution is assessed by varying the polynomial order of the solution from low to high order. The analysis presented in the paper focuses on the evolution of the flow near the blade surface and the subsequent mixing downstream in the wake for a realistic blade design that exhibits the full three-dimensionality of these flow physics. A detailed understanding of these flow features is most useful for the aerodynamic and acoustic design of open rotor propulsors and the related implications of the LES results relative to conventional RANS-based CFD/CAA predictions is discussed.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
2秒前
4秒前
彭于晏应助学无止境采纳,获得10
5秒前
小小发布了新的文献求助10
6秒前
搜集达人应助行云采纳,获得10
6秒前
我是老大应助轻松的雁枫采纳,获得10
6秒前
Lucas应助wwwwwwww采纳,获得10
6秒前
7秒前
7秒前
8秒前
9秒前
老实的棉花糖完成签到,获得积分10
9秒前
10秒前
10秒前
TwinQ完成签到,获得积分10
11秒前
12秒前
潇洒稚晴完成签到,获得积分10
13秒前
深入肺腑完成签到,获得积分10
13秒前
laoji发布了新的文献求助10
14秒前
14秒前
15秒前
好好好发布了新的文献求助10
15秒前
啊aa发布了新的文献求助10
16秒前
榴莲发布了新的文献求助10
16秒前
emmm发布了新的文献求助10
16秒前
科研通AI6.4应助神明采纳,获得10
17秒前
Akim应助神明采纳,获得10
17秒前
云岫完成签到,获得积分10
17秒前
SciGPT应助年轻的跳跳糖采纳,获得10
17秒前
18秒前
学无止境发布了新的文献求助10
18秒前
嘻嘻发布了新的文献求助30
19秒前
20秒前
20秒前
21秒前
21秒前
22秒前
发发发布了新的文献求助10
22秒前
Gary发布了新的文献求助10
23秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Scientific Writing and Communication: Papers, Proposals, and Presentations 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6371119
求助须知:如何正确求助?哪些是违规求助? 8184815
关于积分的说明 17269319
捐赠科研通 5425601
什么是DOI,文献DOI怎么找? 2870327
邀请新用户注册赠送积分活动 1847364
关于科研通互助平台的介绍 1694018