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contributor authorLiu, Xiaolan
contributor authorYang, Bo
contributor authorJi, Chunning
contributor authorChen, Qian
contributor authorSong, Moru
date accessioned2019-02-28T10:59:47Z
date available2019-02-28T10:59:47Z
date copyright2/6/2018 12:00:00 AM
date issued2018
identifier issn0098-2202
identifier otherfe_140_06_061402.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4251541
description abstractThis paper is concerned with the study of a kind of discrete forcing immersed boundary method (IBM) by which the loosely aero-elasticity coupled method is developed to analyze turbine blade vibration. In order to reduce the spurious oscillations at steep gradients in the compressible viscous flowing field, a five orders weighted essentially nonoscillatory scheme (WENO) is introduced into the flow solver based on large eddy simulation (LES). The three-dimensional (3D) full-annulus domain of the last two stages of an industrial steam axial turbine is adopted to validate the developed method. By the method, the process of grid generation becomes very simple and the unsteady data transferring between stator and rotor is realized without the process of being averaged or weighted. Based on the analysis of some important aerodynamic parameters, it is believed that hypothesis of azimuthal periodicity is not reasonable in this case and full-annulus passages model is more feasible and suitable to the research of turbine blade vibration. Meanwhile, the blade vibration data are also discussed. It is at about 65% of rotor blade height of the last stage that an inflection point is observed and the midspan region of the blade is the vulnerable part damaged potentially by the blade vibration.
publisherThe American Society of Mechanical Engineers (ASME)
titleResearch on the Turbine Blade Vibration Base on the Immersed Boundary Method
typeJournal Paper
journal volume140
journal issue6
journal titleJournal of Fluids Engineering
identifier doi10.1115/1.4038866
journal fristpage61402
journal lastpage061402-10
treeJournal of Fluids Engineering:;2018:;volume( 140 ):;issue: 006
contenttypeFulltext


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