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首页> 外文期刊>Journal of Engineering for Gas Turbines and Power >Quantitative Computational Fluid Dynamics Analyses of Particle Deposition in a Heavy-Duty Subsonic Axial Compressor
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Quantitative Computational Fluid Dynamics Analyses of Particle Deposition in a Heavy-Duty Subsonic Axial Compressor

机译:重型亚音速轴流压气机内颗粒沉积的定量计算流体动力学分析

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摘要

Solid particle ingestion is one of the principal degradation mechanisms in the compressor and turbine sections of gas turbines. In particular, in industrial applications, the micro particles not captured by the air filtration system can cause deposits on blading and, consequently, result in a decrease in compressor performance. In the literature, there are some studies related to the fouling phenomena in transonic compressors, but in industrial applications (heavy-duty compressors, pump stations, etc.), the subsonic compressors are widespread. It is highly important for the manufacturer to gather information about the fouling phenomenon related to this type of compressor. This paper presents three-dimensional (3D) numerical simulations of the microparticie ingestion (0.15-1.50 mu m) in a multistage (i.e., eight stage) subsonic axial compressor, carried Out by means of a commercial computational fluid dynamic (CFD) code. Particles of this size can follow the main air flow with relatively little slip, while being impacted by flow turbulence. It is of great interest to the industry to determine which zones of the compressor blades are impacted by these small particles. Particle trajectory simulations use a stochastic Lagrangian tracking method that solves the equations of motion separately from the continuous phase. The adopted computational strategy allows the evaluation of particle deposition in a multistage axial compressor thanks to the use of a mixing plane approach to model the rotor/stator interaction. The compressor numerical model and the discrete phase model are set up and validated against the experimental and numerical data available in the literature. The number of particles and sizes is specified in order to perform a quantitative analysis of the particle impacts on the blade surface. The blade zones affected by particle impacts and the kinematic characteristics (velocity and angle) of the impact of micrometric and submicrometric particles with the blade surface are shown. Both blade zones affected by particle impact and deposition are analyzed. The particle deposition is established by using the quantity called sticking probability (SP), adopted from the literature. The SP links the kinematic characteristics of particle impact on the blade with the fouling phenomenon. The results show that microparticles tend to follow the flow by impacting on the compressor blades at full span. The suction side (SS) of the blade is only affected by the impacts of the smallest particles. Particular fluid dynamic phenomena, such as corner separations and clearance vortices, strongly influence the impact location of the particles. The impact and deposition trends decrease according to the stages. The front stages appear more affected by particle impact and deposition than the rear ones.
机译:固体颗粒的摄入是燃气轮机的压缩机和涡轮部分中的主要降解机制之一。特别地,在工业应用中,未被空气过滤系统捕获的微粒会在叶片上造成沉积物,并因此导致压缩机性能下降。在文献中,有一些研究涉及跨音速压缩机的结垢现象,但在工业应用(重型压缩机,泵站等)中,亚音速压缩机已广泛使用。对于制造商而言,收集与此类压缩机相关的结垢现象的信息非常重要。本文介绍了多级(即八级)亚音速轴向压缩机中微粒吸入(0.15-1.50μm)的三维(3D)数值模拟,是通过商业计算流体动力学(CFD)代码进行的。这种大小的颗粒可以以较小的滑移跟随主气流,同时受到湍流的影响。工业界非常感兴趣的是确定压缩机叶片的哪些区域受到这些小颗粒的影响。粒子轨迹模拟使用随机拉格朗日跟踪方法,该方法独立于连续相来求解运动方程。由于采用了混合平面方法来模拟转子/定子相互作用,因此采用的计算策略可以评估多级轴向压缩机中的颗粒沉积。建立压缩机数值模型和离散相模型,并根据文献中提供的实验和数值数据进行验证。指定颗粒的数量和大小,以便对叶片表面上的颗粒撞击进行定量分析。显示了受颗粒冲击影响的叶片区域以及微米级和亚微米级颗粒与叶片表面碰撞的运动学特征(速度和角度)。分析了两个受颗粒撞击和沉积影响的叶片区域。通过使用从文献中采用的称为粘附概率(SP)的数量来建立粒子沉积。 SP将颗粒撞击叶片的运动学特性与结垢现象联系在一起。结果表明,微粒趋于通过在全跨度上撞击压缩机叶片而跟随流动。叶片的吸力侧(SS)仅受最小颗粒的影响。特殊的流体动力学现象,例如拐角分离和间隙涡旋,强烈影响颗粒的撞击位置。冲击和沉积趋势根据阶段而降低。前阶段比后阶段受颗粒冲击和沉积的影响更大。

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