涡轮叶栅端壁损失对入口边界层厚度的敏感性

IF 1.1 Q4 ENGINEERING, MECHANICAL
J. Coull, C. Clark, R. Vázquez
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引用次数: 2

摘要

叶轮机轮毂和机匣边界层的发展是难以预测的,造成了每排叶片所经历的边界条件的不确定性。涡轮叶栅以往的研究在端壁损失对这种进口条件的敏感性上存在分歧。本文通过研究大量涡轮叶栅和改变进气道附面层厚度,从计算上探讨了这一问题。结果表明,端壁损失对进口条件的敏感性取决于设计,并由与二次流相关的端壁损失分量决定。在经典二次流理论的基础上,用涡度因子来表征二次流损失。产生高水平二次涡量的设计往往会产生更多的损失,并且对进口条件更敏感。这种敏感性很大程度上是由二次动能(SKE)的耗散驱动的:进气道边界层加厚导致叶栅出口的二次涡量在通道内更加分散,导致二次流结构更大,SKE更高。利用基于经典二次流理论的简单流函数模型捕获了这些效应,该模型具有初步设计和敏感性评估的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The sensitivity of turbine cascade endwall loss to inlet boundary layer thickness
The development of hub and casing boundary layers through a turbomachine is difficult to predict, giving rise to uncertainty in the boundary conditions experienced by each blade row. Previous studies in turbine cascades disagree on the sensitivity of endwall loss to such inlet conditions. This paper explores the problem computationally, by examining a large number of turbine cascades and varying the inlet boundary layer thickness. It is demonstrated that the sensitivity of endwall loss to inlet conditions is design dependent, and determined by the component of endwall loss associated with the secondary flow. This Secondary-Flow-Induced loss is characterised by a vorticity factor based on classical secondary flow theory. Designs that produce high levels of secondary vorticity tend to generate more loss and are more sensitive to inlet conditions. This sensitivity is largely driven by the dissipation of Secondary Kinetic Energy (SKE): thickening the inlet boundary layer causes the secondary vorticity at the cascade exit to be more dispersed within the passage, resulting in larger secondary flow structures with higher SKE. The effects are captured using a simple streamfunction model based on classical secondary flow theory, which has potential for preliminary design and sensitivity assessment.
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来源期刊
Journal of the Global Power and Propulsion Society
Journal of the Global Power and Propulsion Society Engineering-Industrial and Manufacturing Engineering
CiteScore
2.10
自引率
0.00%
发文量
21
审稿时长
8 weeks
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