在大分离区内使用三孔探针测试的探索

随着叶轮机领域研究的深入,在非定常大分离区进行测试的要求开始提出。传统的三孔探针进行稳态测量,校准范围一般在±18°左右。在笔者进行的平面叶栅吹风试验中,由于试验工况的攻角比较大,测试位置靠近端壁,因此栅后不同点气流的角度变化很大。针对这种情况,笔者将三孔探针的校准范围扩大到了±50°,并对数据处理进行了合理的改进。     

超音轴向分速风扇/压气机叶栅流动特征分析

本文介绍了三种带冲波的超音轴向分速叶型设计,及其叶栅流场计算,分析了这些叶栅流场特征。在计算的反压条件下,全部波系均控制在槽道内,叶栅槽道内存在不同大小的轴向分速超音区,这种叶型叶栅可承受的增压比高,总压恢复系数较低,这类叶栅的性能和流动特征尚缺少实验数据和理论分析。     

航空发动机高压旋转涡轮盘腔流动与换热

在同模型实验参数范围内，且数值解和实验解基本吻合的前提下，对发动机原型参数进行数值模拟，求解了旋转系下流体流动与换热微分方程组，通过对气体域和固体域进行共扼计算，并将动量方程与能量方程福合求解。结果表明利用低参数下实验数据支持的数值计算程序对真实参数的模拟是合理的，对于复杂的非线性现象，数值外推法比传统实验外推更加准确。     

串接式BENFIELD对接加载约束子结构法——带冠涡轮叶片和压气机叶片的动力分析

本文把Benfield和Hruda的对接加载约束子结构法加以推广,导出一组适用于多部件串接式系统的递推公式。应用两种有限单元:八结点超参厚壳元和非协调位移模式的八结点三维块单元,以带冠涡轮叶片和压气机叶片作为实例,它和全结构整体计算方法以及试验数据作对比,证明了本文方法在保持高的计算精度的同时,可以成倍地节省机时和费用。     

A combined application of micro-vortex generator and boundary layer suction in a high-load compressor cascade

In the current study, the effects of a combined application between micro-vortex generator and boundary layer suction on the flow characteristics of a high-load compressor cascade are investigated. The micro-vortex generator with a special configuration and the longitudinal suction slot are adopted. The calculated results show that a reverse flow region, which is considered the main reason for occurring stall at 7.9° incidence, grows and collapses rapidly near the leading edge and leads to two critical points occurring on the end-wall with the increasing incidence in the baseline. As the micro-vortex generator is introduced in the baseline cascade, the corner separation is switched to a trailing edge separation by the thrust from the induced vortex. Meanwhile, the occurrence of failure is delayed due to the mixed low energy fluid and main flow. The synergistic effects between the micro-vortex generator and the boundary layer suction on the performance of the cascade are superior to the baseline at all the incidence conditions before the occurrence of failure, and the sudden deterioration of the cascade occurs at 10.3° incidence. The optimal results show that the farther upstream suction position, the lower total pressure loss of the cascade with vortex generator at the near stall condition. Moreover, the induced vortex with a leg can migrate the accumulated low energy fluid backward to delay the occurrence of stall.     

Reduced order model for unsteady aerodynamic performance of compressor cascade based on recursive RBF

Based on Recursive Radial Basis Function (RRBF) neural network, the Reduced Order Model (ROM) of compressor cascade was established to meet the urgent demand of highly efficient prediction of unsteady aerodynamics performance of turbomachinery. One novel ROM called ASA-RRBF model based on Adaptive Simulated Annealing (ASA) algorithm was developed to enhance the generalization ability of the unsteady ROM. The ROM was verified by predicting the unsteady aerodynamics performance of a highly-loaded compressor cascade. The results show that the RRBF model has higher accuracy in identification of the dimensionless total pressure and dimensionless static pressure of compressor cascade under nonlinear and unsteady conditions, and the model behaves higher stability and computational efficiency. However, for the strong nonlinear characteristics of aerodynamic parameters, the RRBF model presents lower accuracy. Additionally, the RRBF model predicts with a large error in the identification of aerodynamic parameters under linear and unsteady conditions. For ASA-RRBF, by introducing a small-amplitude and high-frequency sinusoidal signal as validation sample, the width of the basis function of the RRBF model is optimized to improve the generalization ability of the ROM under linear unsteady conditions. Besides, this model improves the predicting accuracy of dimensionless static pressure which has strong nonlinear characteristics. The ASA-RRBF model has higher prediction accuracy than RRBF model without significantly increasing the total time consumption. This novel model can predict the linear hysteresis of dimensionless static pressure happened in the harmonic condition, but it cannot accurately predict the beat frequency of dimensionless total pressure.     

A physics-based framework for online surface roughness assessment for high-pressure turbines

Surface roughness is a critical health parameter of a turbine blade due to its implications on blade surface heat transfer and structural integrity. This paper proposes a physics-based online framework for Gas Turbine Engines (GTE), in order to assess the blade surface roughness in a high-pressure turbine without engine shutdown. The framework consolidates Gas Path Analysis (GPA) based performance monitoring models and meanline turbomachinery analysis, using a novel GPA-meanline matching process. This extracts meaningful performance deviation trends from GPA, while addressing the uncertainties associated with the measurements and modelling. To relate efficiency loss to surface roughness severity, a meanline-based system-identification process has been developed to establish the meanline representation of the turbine stage, and to incorporate the empirical surface roughness loss correlations. The roughness loss correlations have been evaluated against recent transonic test data in the literature. A modification to the compressibility correction factor has been made according to the evaluation outcome, which improved loss predictions compared to the experimental measurements. The framework was tested on the three-year operational data of a cogeneration GTE, and the results verified the framework's potential for online surface roughness monitoring. The predicted surface roughness showed agreement in both trend and the magnitude-level with the measurements reported in the literature.     

平面扩压叶栅最佳弯叶片生成线与叶栅折转角的关系

用优化的方法研究了扩压叶栅最佳弯叶片生成线与叶栅折转角之间的关系,在8个不同叶栅折转角下优化弯叶片生成线的弯角和弯高.积叠线是由两段贝塞尔曲线和一段直线组成,在这种积叠线形式下,相同弯角下弯叶片损失随弯高增大不断减小,弯叶片的最佳弯高为0.5.在相同的叶栅折转角下弯叶片损失随弯角增大先减小后增大,存在最佳弯角使弯叶片总损失最小.随着叶栅折转角增大,弯叶片收益增大.最佳弯角随着叶栅折转角的增加有增大的趋势.在给定计算条件下,最佳弯角与叶栅折转角之间呈类似线性变化规律.      

跨声叶栅角区激波/附面层干扰的开槽控制措施

提出了使用叶根槽作为一种被动控制手段来控制跨声叶栅的角区分离问题。在压力面与吸力面的压差作用下,叶根槽可产生自发射流,为叶栅吸力面侧角区注入高能流体,从而控制跨声叶栅的角区分离问题。通过数值模拟的方法分析了在不同攻角下叶根槽对压气机叶栅性能的影响及作用机理。结果表明:在小攻角下,叶根槽射流可破坏角区环形涡,从而有效减小跨声叶栅角区分离,提高叶栅的流通能力,改善叶栅性能;在大攻角下,叶根槽射流已不能破坏角区环形涡,但仍能为角区低能流体充能,减弱角区分离,从而拓宽叶栅工作范围。在0°攻角下总压损失系数可降低11.6%,同时叶栅攻角裕度由2°拓宽为3°。