Optimization design and experiment on the cooling structure of turbine guide vane in an engine
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摘要:
针对某型发动机涡轮导向器叶片尾缘出现烧蚀及裂纹的问题,结合增材制造复杂型面快速成型的工艺特点,采用数值模拟方法对涡轮叶片冷却结构进行优化设计,并对涡轮导向器叶片冷却结构方案进行了实验研究。搭建的涡轮叶片综合冷效实验平台可以模拟真实的发动机工作参数,基于实验平台开展了落压比、温度比及流量比等关键参数对叶片综合冷却效率及无量纲温度分布的试验研究。实验结果表明:流量比对涡轮叶片综合冷却效率的影响高于温度比及落压比,在实验工况范围内,当流量比从0.75%增大至1.50%时,叶片综合冷却效率从0.123增大至0.183,提高了48.78%;当温度比从1.5增大至2.0时,叶片综合冷却效率从0.165增大至0.199,提高了20.61%;当落压比从1.4增大至2.2时,叶片综合冷却效率从0.141增大至0.162,提高了14.08%。
Abstract:To address the issue of ablation and cracks on the trailing edge of the turbine guide blade in an aeroengine, the process characteristics of rapid prototyping of complex surfaces were combined using additive manufacturing, numerical simulation methods were employed to optimize the design of turbine blade cooling structures, and experimental research on the cooling structure schemes of turbine guide blades was conducted. The constructed experimental platform can simulate real engine operating parameters for turbine blade cooling efficiency. Based on this experimental platform, experiments were conducted on the effects of parameters such as pressure ratio, temperature ratio, and flow ratio on the overall cooling efficiency and dimensionless temperature distribution of the blade. The experimental results indicated that the effect of flow rate ratio on the cooling efficiency of the turbine blades was greater than that of temperature ratio and pressure ratio. Within the experimental operating range, as the flow ratio increased from 0.75% to 1.50%, the blade cooling efficiency increased from 0.123 to 0.183, representing an improvement of 48.78%. When the temperature ratio increased from 1.5 to 2.0, the blade cooling efficiency rose from 0.165 to 0.199, an increase of 20.61%. As the pressure ratio increased from 1.4 to 2.2, the blade cooling efficiency grew from 0.141 to 0.162, an enhancement of 14.08%.
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Key words:
- additive manufacturing /
- turbine blade /
- cooling structure /
- film cooling /
- cooling efficiency
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表 1 实验中测量参数、范围及精度
Table 1. Experimental parameters, ranges, and measurement uncertainties
参数 测量仪器 范围 精度/% 叶片表面温度
进/出口总温
进/出口总压
进/出口静压K型热电偶
K型热电偶
压力传感器A
压力传感器B273~ 1000 K
273~1000 K
0.5~1.5 MPa
0.1~5.0 MPa0.5
0.5
0.5
0.5二次流
质量流量流量计 0.1~100 g/s 1.0 流量控制器 0.1~5.0 g/s 0.05 表 2 网格无关性验证
Table 2. Gird-independence validation
网格数量/106 3.0 4.0 6.5 9.0 叶片平均温度/K 1069.7 1075.3 1078.6 1074.3 表 3 计算工况
Table 3. Calculation conditions
参数 数值 $p_{{\mathrm{in}}}^*$/MPa 1.34 Tg/K 1284.6 $\dot m_{\mathrm{g}} $/(kg/s) 0.585 pc/MPa 1.41 Tc/K 708.5 表 4 冷却结构方案1~3空气流量参数对比
Table 4. Comparison of cooling air flow parameters among cooling structure scheme 1—3
方案编号 冷却空气质量流量/(kg/s) 前缘 尾缘 1 0.063 0.027 2 0.042 0.040 3 0.033 0.033 表 5 原涡轮叶片和冷却结构方案3的气动参数对比
Table 5. Comparison of aerodynamic parameters between prototype turbine blade and cooling structure scheme 3
参数 原叶片 方案3 偏差/% 燃气出口总压/MPa 1.244 1.210 2.8 燃气出口静压/MPa 0.625 0.624 0.2 二次流出口总压/MPa 1.385 1.382 0.2 二次流出口静压/MPa 1.378 1.377 0.1 表 6 叶片实验工况
Table 6. Turbine blade experimental conditions
参数 数值 B/% 0.75,1.00,1.25,1.50 K 1.5,1.6,1.7,1.9,2.0 β 1.4,1.6,1.8,2.0,2.2 -
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