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contributor authorLi, Jiabin
contributor authorLi, Weiwei
contributor authorJi, Lucheng
date accessioned2022-05-08T09:21:06Z
date available2022-05-08T09:21:06Z
date copyright3/11/2022 12:00:00 AM
date issued2022
identifier issn0742-4795
identifier othergtp_144_06_061002.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4285029
description abstractSecondary flow transfers the boundary layer from the endwall to suction side corner region, which deteriorates the performance of compressors. Vortex generators (VGs) can attenuate the secondary flow when implemented at the endwall of the blade passage. In order to make an efficient optimization design of the VGs layout, mathematical models are introduced to replace the actual VGs. However, the model is only effective at the small incidence. In this paper, first, a mathematical model is presented to replace the actual VGs facing a lager incidence, and validated by computational fluid dynamics results with actual VGs. Second, an efficient design method for optimizing VGs layout is presented based on VG model and genetic algorithm (GA)-support vector machine (SVM) method. The method is illustrated in a highly loaded compressor stator, and the VGs layout is optimized and applied in the blade passage. The results show that the VGs can prevent the secondary flow from the suction corner, and reduce the total pressure loss coefficient at the trailing edge of the stator by 15%. Finally, the flow mechanism of the VGs is investigated using numerical method. The results show that the VGs can induce a primary vortex at the tip and prevent the circumferential migration of boundary layers. Moreover, the secondary flow can produce a large incidence at the hub of the VGs, thus increasing the aerodynamic losses of the VGs secondary vortex.
publisherThe American Society of Mechanical Engineers (ASME)
titleEfficient Optimization Design of Vortex Generators in a Highly Loaded Compressor Stator
typeJournal Paper
journal volume144
journal issue6
journal titleJournal of Engineering for Gas Turbines and Power
identifier doi10.1115/1.4053707
journal fristpage61002-1
journal lastpage61002-10
page10
treeJournal of Engineering for Gas Turbines and Power:;2022:;volume( 144 ):;issue: 006
contenttypeFulltext


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