西安交通大学叶轮机械研究所,西安,710049
网络首发:2021-05-10,
纸质出版:2021
移动端阅览
黄明, 李军, 李志刚, 等. 动叶凹槽状叶顶气膜冷却有效度和气动性能不确定性量化研究[J]. 西安交通大学学报, 2021,55(5):181-192.
Investigations on Uncertainty Quantification of Film Cooling Effectiveness and Aerodynamic Performance of Turbine Blade Squealer Tip[J]. 2021, 55(5): 181-192.
黄明, 李军, 李志刚, 等. 动叶凹槽状叶顶气膜冷却有效度和气动性能不确定性量化研究[J]. 西安交通大学学报, 2021,55(5):181-192. DOI: 10.7652/xjtuxb202105020.
Investigations on Uncertainty Quantification of Film Cooling Effectiveness and Aerodynamic Performance of Turbine Blade Squealer Tip[J]. 2021, 55(5): 181-192. DOI: 10.7652/xjtuxb202105020.
结合非嵌入式多项式混沌展开方法、稀疏网格技术、Sobol Indic敏感度分析方法以及RANS方程求解方法
提出了涡轮动叶凹槽状叶顶气热性能不确定性量化分析方法
数值模拟与实验数据吻合一致验证了本文方法预测凹槽状叶顶气热性能的有效性。在量化几何参数叶顶间隙和运行参数主流进口总温以及吹风比的不确定性的基础上
对GE-E
3
动叶叶顶的气动以及换热性能进行不确定性量化
详细分析了不确定性输入量对平均气膜冷却有效度、间隙泄漏量以及下游总压损失系数的影响
并且通过Sobol Indic方法对各不确定性变量对叶顶气热性能不确定性的贡献进行量化研究。不确定性分析的结果表明:叶顶前缘区域的泄漏量对不确定性输入不敏感
但是尾缘区域泄漏量的不确定性偏差可达到25%; 下游总压损失系数总体受不确定性波动的影响较小; 在几何及工况不确定性的影响下
叶顶气膜冷却有效度的统计均值相比于设计值下降29.52%
并且其偏离设计值10%的概率高达91.83%。敏感度分析的结果表明:叶顶间隙的偏差是叶顶气动性能不确定性的主导变量
叶顶间隙偏差对泄漏量以及下游总压损失系数的方差占比分别达88.02%与85.31%; 在叶顶传热特性的不确定性方面
3个研究变量对气膜冷却有效度不确定性的贡献均不可忽略。本文研究的3个变量中
叶顶间隙对凹槽状叶顶气动和气膜冷却有效度的综合影响最大
所以在叶片的加工装配过程中需要保证叶顶间隙的精度。
Combining the non-embedded polynomial chaotic expansion method
sparse grid
Sobol Indic technology and Reynolds-averaged Navier-Stokes(RANS)equation solving method
an uncertainty quantitative analysis method for the aerodynamic and heat transfer performance of the turbine blade squealer tip was proposed. Numerical simulations were consistent with experimental data
which verified the effectiveness of the numerical method for predicting the aerody
namic and heat transfer performance of the squealer tip. The aerodynamic and heat transfer performance of the GE-E
3
rotor blade tip was quantified on the basis of the uncertainties of the tip clearance
the total temperature of the mainstream inlet and the blowing ratio. The influences of the uncertain inputs on the average film cooling effectiveness
gap leakage and downstream total pressure loss coefficient were analyzed in detail. The Sobol Indic method was used to quantify the contribution of each uncertain variable to the uncertainty of the tip aerothermal characteristics. The results of the uncertainty analysis show that the leakage in the leading edge area of the blade tip is not sensitive to the uncertain input
but the uncertain deviation of the leakage in the trailing edge area can reach 25%. The downstream total pressure loss coefficient is generally less affected by uncertain fluctuations. Under the influence of the uncertainty of geometry and working conditions
the statistical mean value of the blade tip film cooling effectiveness is reduced by 29.52% compared with the design value
and the probability of 10% deviation from the design value is as high as 91.83%. The sensitivity analysis results show that the tip clearance deviation is the dominant variable in the uncertainty of the tip aerodynamic performance. The variances of the tip clearance deviation to the leakage and the total downstream pressure loss coefficient account for 88.02% and 85.31%
respectively. Among the three variables studied in this paper
tip clearance has the greatest comprehensive influence on the aerodynamic performance and film cooling effectiveness of the blade squealer tip
so the machining accuracy of tip clearance should be strictly guaranteed in the process of blade machining and assembly.
BUNKER R S. A review of turbine blade tip heat transfer [J]. Annals of the New York Academy of Sciences, 2001, 934: 64-79.
HAN J C, DUTTA S, EKKAD S. Gas turbine heat transfer and cooling technology [M]. London, UK: CRC Press, 2012.
MONTOMOLI F, MASSINI M, SALVADORI S. Geometrical uncertainty in turbomachinery: tip gap and fillet radius [J]. Computers Fluids, 2011, 46(1): 362-368.
DE MAESSCHALCK C, LACOR C, PANIAGUA G, et al. Performance robustness of turbine squealer tip designs due to manufacturing and engine operation [J]. Journal of Propulsion and Power, 2017, 33(3): 740-749.
WUNSCH D, HIRSCH C, NIGRO R, et al. Quantification of combined operational and geometrical uncertainties in turbo-machinery design [C]∥Proceedings of the ASME Turbo Expo 2015. New York, USA: ASME, 2015: GT2015-43399.
SHI Wei, CHEN Pingting, LI Xueying, et al. Uncertainty quantification of the effects of squealer tip geometry deviation on aerothermal performance [J]. Proceedings of the Institution of Mechanical Engineers: Part A Journal of Power and Energy, 2020, 234(7): 1026-1038.
MONTOMOLI F, MASSINI M. Uncertainty quantification applied to gas turbine components: uncertainty quantification in computational fluid dynamics and aircraft engines[M/OL]. [2020-09-10]. DOI: 10.1007/978-3-319-92943-9_4.
BUNKER R S. The effects of manufacturing tolerances on gas turbine cooling [J]. Journal of Turbomachinery, 2009, 131(4): 041018.
D'AMMARO A, MONTOMOLI F. Uncertainty quantification and film cooling [J]. Computers Fluids, 2013, 71: 320-326.
BABAEE H, WAN Xiaoliang, ACHARYA S. Effect of uncertainty in blowing ratio on film cooling effectiveness [J]. Journal of Heat Transfer, 2014, 136(3): 031701.
陶志, 郭振东, 李琛玺, 等. 基于Kriging的不确定性量化及鲁棒性优化的研究 [J]. 工程热物理学报, 2019, 40(3): 537-542.
TAO Zhi, GUO Zhendong, LI Chenxi, et al. Research on Kriging-based uncertainty quantification and robust design optimization [J]. Journal of Engineering Thermophysics, 2019, 40(3): 537-542.
宋英杰, 聂俊, 郭振东, 等. 高温叶片换热性能不确定性量化 [J]. 工程热物理学报, 2015, 36(8): 1666-1671.
SONG Yingjie, NIE Jun, GUO Zhendong, et al. Uncertainty quantification of heat transfer performance of high temperature blade [J]. Journal of Engineering Thermophysics, 2015, 36(8): 1666-1671.
颜勇, 祝培源, 宋立明, 等. 基于非平稳高斯过程的叶栅加工误差不确定性量化 [J]. 推进技术, 2017, 38(8): 1767-1775.
YAN Yong, ZHU Peiyuan, SONG Liming, et al. Uncertainty quantification of cascade manufacturing error based non-stationary Gaussian process [J]. Journal of Propulsion Technology, 2017, 38(8): 1767-1775.
KWAK J S, HAN J C. Heat transfer coefficients and film cooling effectiveness on the squealer tip of a gas turbine blade [J]. Journal of Turbomachinery, 2003, 125(4): 648-657.
AHN J, MHETRAS S, HAN J C. Film-cooling effectiveness on a gas turbine blade tip using pressure-sensitive paint [J]. Journal of Heat Transfer, 2005, 127(5): 521-530.
XIU Dongbin, KARNIADAKIS G E. The Wiener: Askey polynomial chaos for stochastic differential equations [J]. SIAM Journal on Scientific Computing, 2002, 24(2): 619-644.
BUNGARTZ H J, GRIEBEL M. Sparse grids [J]. Acta Numerica, 2004, 13: 147-269.
HALILA E E, LENAHAN D T, THOMAS T T. High pressure turbine test hardware detailed design report: NASA-CR-167956 [R]. Washington, DC, USA: NASA Lewis Research Center, 1982.
YOUNG J B, WILCOCK R C. Modeling the air-cooled gas turbine: Part 2 Coolant flows and losses [J]. Journal of Turbomachinery, 2002, 124(2): 214-221.
WANG Yabo, SONG Yanping, YU Jianyang, et al. Effect of cooling injection on the leakage flow of a turbine cascade with honeycomb tip [J]. Applied Thermal Engineering, 2018, 133: 690-703.
ZOU Zhengping, SHAO Fei, LI Yiran, et al. Dominant flow structure in the squealer tip gap and its impact on turbine aerodynamic performance [J]. Energy, 2017, 138: 167-184.
0
浏览量
5
下载量
3
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621