雷诺数对高负荷低压涡轮叶栅流动损失的不确定性影响

doi:10.7527/S1000-6893.2021.25427

流体力学与飞行力学

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雷诺数对高负荷低压涡轮叶栅流动损失的不确定性影响

罗佳奇¹, 傅文豪¹, 曾先¹, 夏志恒²

1. 浙江大学航空航天学院, 杭州 310027;
2. 中国空气动力研究与发展中心, 绵阳 621000

收稿日期:2021-03-01 修回日期:2021-03-30 发布日期:2021-03-26
通讯作者: 罗佳奇,E-mail:jiaqil@zju.edu.cn E-mail:jiaqil@zju.edu.cn
基金资助:
国家自然科学基金(51676003,51976183);国家科技重大专项(J2019-II-0012-0032);浙江省自然科学基金(LXR22E060001)

Uncertainty impact of Reynolds number on flow losses of high-lift low-pressure turbine cascade

LUO Jiaqi¹, FU Wenhao¹, ZENG Xian¹, XIA Zhiheng²

1. School of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310027, China;
2. China Aerodynamics Research and Development Center, Mianyang 621000, China

Received:2021-03-01 Revised:2021-03-30 Published:2021-03-26
Supported by:
National Nature Science Foundation of China (51676003, 51976183); National Science and Technology Major Project (J2019-II-0012-0032); Natural Science Foundation of Zhejiang Province (LXR22E060001)

摘要/Abstract

摘要： 高空巡航时高负荷低压涡轮(LPT)雷诺数较低,在逆压梯度作用下叶背极易发生层流分离转捩并恶化LPT的气动性能。重点开展雷诺数扰动对高负荷LPT流动损失的不确定性影响研究。首先通过求解γ-Re_θt模型方程对高负荷LPT叶栅进行数值模拟,通过精度分析及对比评估数值模拟的可靠性。之后分析不同湍流度条件下雷诺数对动能损失系数(KELC)的影响并建立KELC的自适应响应模型,计算KELC的统计均值、标准差等并对比分析KELC的不确定性影响规律。最后开展基于蒙特卡罗模拟的流场统计研究,通过分析雷诺数扰动对流动分离和转捩的影响,揭示雷诺数对高负荷LPT流动损失不确定性变化的作用机制。

关键词: 不确定性, 低压涡轮, 雷诺数, 流动损失, 边界层分离转捩

Abstract: The Reynolds number of the high-lift Low-Pressure Turbine(LPT) is small when the aircraft is cruising at a high altitude. Under the effect of the adverse pressure gradient, laminar flow separation and transition tend to occur on the suction side, deteriorating the aerodynamic performance of LPTs. The uncertainty impact of Reynolds number variations on the flow losses of high-lift LPTs is investigated in this study. The flow of a high-lift LPT cascade is first numerically simulated by solving the γ-Re_θt transition model equations. The computed flow losses are then analyzed, and compared with the experimental results to evaluate the reliability of the numerical results. Then the effects of the Reynolds number on the Kinetic Energy Loss Coefficient(KELC) are studied with different turbulent intensities. An adaptive surrogate model with a high response accuracy is constructed, which is applied to the calculation of the statistical mean and variance of KELC, and the study of the uncertainty impact of the Reynolds number on KELC. Statistical analysis of flow solutions by Monte Carlo simulation is finally presented. The investigation into the influence of Reynolds number variations on flow separation and transition demonstrates the mechanisms of uncertainty impact on the flow losses of high-lift LPTs.

Key words: uncertainty, low-pressure turbines, Reynolds number, flow losses, boundary-layer separation transitionhttp

中图分类号:

V231.3
O354

罗佳奇, 傅文豪, 曾先, 夏志恒. 雷诺数对高负荷低压涡轮叶栅流动损失的不确定性影响[J]. 航空学报, 2022, 43(7): 125427.

LUO Jiaqi, FU Wenhao, ZENG Xian, XIA Zhiheng. Uncertainty impact of Reynolds number on flow losses of high-lift low-pressure turbine cascade[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(7): 125427.

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雷诺数对高负荷低压涡轮叶栅流动损失的不确定性影响

Uncertainty impact of Reynolds number on flow losses of high-lift low-pressure turbine cascade

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