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contributor authorYang, Hongkai
contributor authorZhang, Weihao
contributor authorZou, Zhengping
contributor authorZhang, Shaowen
contributor authorZeng, Fei
contributor authorXu, Wenqi
date accessioned2022-02-04T22:22:03Z
date available2022-02-04T22:22:03Z
date copyright6/30/2020 12:00:00 AM
date issued2020
identifier issn0889-504X
identifier otherturbo_142_7_071005.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4275426
description abstractThe prediction of tip leakage flow aerothermal loss plays a crucial role in turbine preliminary design, which strongly affects the turbine performance. A new tip leakage loss model for unshrouded turbine is developed in this paper, considering the compressible flow aerothermal process inside the clearance. By coupling with a parameterized loading distribution model proposed in this work, in which the blade loading can be described by four independent parameters, Zweifel coefficient (Zw), diffusion factor (DF), peak velocity location (PVL), and leading edge acceleration (LEA), the loss model can evaluate the tip leakage loss in aerodynamic design process conveniently and accurately. The proposed models are validated by numerical simulations and the results show that, compared with the other acknowledged loss models, the loss model can reduce the deviations by more than 50%. Based on the models, the effects of blade loading design parameters on tip leakage losses are discussed via analysis of variance (ANOVA). The results show that Zw has the most significant influence. As Zw decreases from 1.0 to 0.7, tip leakage losses can be reduced by about 16%. Under lower Zw conditions, the joint effect of PVL and LEA is remarkable. However, under higher Zw conditions, the joint effect of the DF and PVL is more important.
publisherThe American Society of Mechanical Engineers (ASME)
titleThe Development and Applications of a Loading Distribution Based Tip Leakage Loss Model for Unshrouded Gas Turbines
typeJournal Paper
journal volume142
journal issue7
journal titleJournal of Turbomachinery
identifier doi10.1115/1.4047382
journal fristpage071005-1
journal lastpage071005-12
page12
treeJournal of Turbomachinery:;2020:;volume( 142 ):;issue: 007
contenttypeFulltext


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