涡轮机械
机械
计算流体力学
刀(考古)
动力学(音乐)
轴流压缩机
涡轮叶片
物理
流量(数学)
机械工程
叶轮
涡轮机
作者
Richard D. Sandberg,Vittorio Michelassi
出处
期刊:Annual Review of Fluid Mechanics
[Annual Reviews]
日期:2022-01-05
卷期号:54 (1)
标识
DOI:10.1146/annurev-fluid-031221-105530
摘要
The current generation of axial turbomachines are the culmination of decades of experience, and detailed understanding of the underlying flow physics has been a key factor for achieving high efficiency and reliability. Driven by advances in numerical methods and relentless growth in computing power, computational fluid dynamics has increasingly provided insights into the rich fluid dynamics involved and how it relates to loss generation. This article presents some of the complex flow phenomena occurring in bladed components of gas turbines and illustrates how simulations have contributed to their understanding and the challenges they pose for modeling. The interaction of key aerodynamic features with deterministic unsteadiness, caused by multiple blade rows, and stochastic unsteadiness, i.e., turbulence, is discussed. High-fidelity simulations of increasingly realistic configurations and models improved with help of machine learning promise to further grow turbomachinery performance and reliability and, thus, help fluid mechanics research have a greater industrial impact. Expected final online publication date for the Annual Review of Fluid Mechanics, Volume 54 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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