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Estimation of the Particle Deposition on a Subsonic Axial Compressor Blade

机译:亚音速轴流压气机叶片上颗粒沉积的估算

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The quality and purity of the air entering a gas turbine is a significant factor influencing its performance and life. Foulants in the ppm range which are not captured by the air filtration system usually cause deposits on blading, which results in a severe drop in the performance of the compressor. Through the interdisciplinary approach proposed in this paper, it is possible to determine the evolution of the fouling phenomenon through the integration of studies in different research fields: (ⅰ) numerical simulation, (ⅱ) power plant characteristics and (ⅲ) particle-adhesion characteristics. In fact, the size of the particles, their concentrations and adhesion ability, and filtration efficiency represent the major contributors to performing a realistic quantitative analysis of fouling phenomena in an axial compressor. The aim of this work is the estimation of the actual deposits on the blade surface in terms of location and quantity. This study combines the impact/adhesion characteristic of the particles obtained through a CFD and the real size distribution of the contaminants in the air swallowed by the compressor. The blade zones affected by deposits are clearly reported by using easy-to-use contaminant maps realized on the blade surface, in terms of contaminant mass. The analysis has shown that particular fluid-dynamic phenomena and airfoil shape influence the pattern deposition. The use of a filtration system decreases the contamination of the blade and the charge level of the electrostatic seems to be less important than the air contaminant concentration. From these analyses, some guidelines for proper installation and management of the power plant (in terms of filtration systems and washing strategies) can be drawn up. Characterization of the air contaminants in the power plant location represents the most important step in improving the management of the gas turbine power plant.
机译:进入燃气轮机的空气的质量和纯度是影响其性能和寿命的重要因素。空气过滤系统无法捕获的ppm范围内的污垢通常会在叶片上形成沉积物,从而导致压缩机性能严重下降。通过本文提出的跨学科方法,可以通过整合不同研究领域中的研究来确定结垢现象的演变:(ⅰ)数值模拟,(ⅱ)电厂特性和(ⅲ)颗粒附着特性。实际上,颗粒尺寸,浓度和粘附能力以及过滤效率是对轴向压缩机中结垢现象进行实际定量分析的主要因素。这项工作的目的是根据位置和数量估算叶片表面上的实际沉积物。这项研究结合了通过CFD获得的颗粒的冲击/粘附特性和压缩机吞入的空气中污染物的实际尺寸分布。通过使用在叶片表面上实现的易于使用的污染物分布图(根据污染物质量),可以清楚地报告受沉积物影响的叶片区域。分析表明,特定的流体动力学现象和机翼形状会影响图案沉积。过滤系统的使用减少了叶片的污染,并且静电的电荷水平似乎不如空气污染物的浓度重要。从这些分析中,可以制定一些有关正确安装和管理电厂的准则(就过滤系统和清洗策略而言)。电厂位置空气污染物的表征是改善燃气轮机电厂管理的最重要步骤。

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