Comprehensive Aerothermal Investigation of Turbine Blade Multi-Cavity Squealer Tip using a Novel Methodology with Uncertainty Quantification

IF 1.6 4区 工程技术 Q3 ENGINEERING, MECHANICAL Journal of Thermal Science and Engineering Applications Pub Date : 2023-06-26 DOI:10.1115/1.4062836
Ming Huang, Kai Zhang, Zhigang Li, Jun Li
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Abstract

A novel and efficient approach is proposed for quantifying uncertainties in aerothermal performance using a combination of Universal Kriging, Polynomial Chaos Expansions, and Smolyak sparse grid technology. This method was applied to investigate the aerothermal performance of a high-pressure gas turbine rotor blade tip with high dimensional robustness. The outcomes of the uncertainty quantification calculation reveal that the downstream total pressure loss coefficient and leakage flow rate increase under normal-speed (subsonic) and high-speed (transonic) conditions. The key uncertainty input that affects the aerodynamic performance of normal-speed and high-speed squealer tip is inlet total pressure fluctuation, with a variance index on the leakage flow rate of normal-speed and high-speed squealer tip of up to 73.92% and 83.85%, respectively. The study suggests that it is more important to control the operating conditions fluctuation than the cavity depth machining accuracy for aerodynamic performance robustness, which applies to both normal-speed and high-speed squealer tips. In line with the aerodynamic performance, the heat flux of normal-speed and high-speed squealer tip increases during operation. Notably, the sensitivity of high-speed squealer tip aerodynamic performance to operating condition fluctuations increases compared to the normal-speed squealer tip, necessitating active intervention for fluctuations in operating conditions at a higher cost for the high-speed squealer tip. The sensitivity analysis results indicate that the inlet total temperature fluctuation is the key parameter that controls the normal-speed and high-speed squealer tip heat flux uncertainty.
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基于不确定度定量方法的涡轮叶片多腔尖部气动热综合研究
结合通用克里格、多项式混沌展开和Smolyak稀疏网格技术,提出了一种新的、有效的空气热性能不确定性量化方法。应用该方法对具有高维鲁棒性的高压燃气轮机转子叶顶气动热性能进行了研究。不确定度量化计算结果表明,在正速(亚音速)和高速(跨音速)工况下,下游总压损失系数和泄漏流量均有所增加。影响正速和高速尖尖气动性能的关键不确定性输入是进口总压波动,其对正速和高速尖尖泄漏流量的方差指数分别高达73.92%和83.85%。研究表明,相对于空腔深度加工精度,控制工况波动对气动性能的鲁棒性更为重要,这适用于正速和高速尖尖。与气动性能一致,常速和高速尖叫尖的热流密度在运行过程中增大。值得注意的是,与正速尖瓣相比,高速尖瓣气动性能对工况波动的敏感性增加,需要对工况波动进行主动干预,且高速尖瓣成本较高。灵敏度分析结果表明,进口总温度波动是控制正常转速和高速尖叫尖热流密度不确定性的关键参数。
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来源期刊
Journal of Thermal Science and Engineering Applications
Journal of Thermal Science and Engineering Applications THERMODYNAMICSENGINEERING, MECHANICAL -ENGINEERING, MECHANICAL
CiteScore
3.60
自引率
9.50%
发文量
120
期刊介绍: Applications in: Aerospace systems; Gas turbines; Biotechnology; Defense systems; Electronic and photonic equipment; Energy systems; Manufacturing; Refrigeration and air conditioning; Homeland security systems; Micro- and nanoscale devices; Petrochemical processing; Medical systems; Energy efficiency; Sustainability; Solar systems; Combustion systems
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