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contributor authorLopez, Diego I.;Ghisu, Tiziano;Kipouros, Timoleon;Shahpar, Shahrokh;Wilson, Mark
date accessioned2023-04-06T13:02:11Z
date available2023-04-06T13:02:11Z
date copyright9/19/2022 12:00:00 AM
date issued2022
identifier otherturbo_144_12_121009.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4288960
description abstractThe tip clearance size has historically been considered to be the main factor affecting stability range in axial fan and compressors. This paper reveals that the stall characteristics are defined by the axial momentum flux of the tip leakage flow and that tip clearance is primarily a strong driver for this metric. A bespoke methodology for carefully tailoring the axial momentum via threedimensional design is presented, which enables a higher degree of control over the stability range for cases where the tip clearance responds to other considerations and cannot be defined for this purpose. The effect of the axial momentum on efficiency is also addressed and the tradeoff between operability range and design point performance is derived. The results show that the conditions for optimal stability differ from those for optimal efficiency and that control over the axial momentum enables tuning the design for a desired exchange. Numerical simulations have been employed to drive the analysis through a highfidelity computational model whose behavior is supported by rich set of experimental data. Contrary to current belief, results further indicate that an accurate characterization of stall, including onset mechanism, can be achieved through steadystate simulations, minimizing the need for expensive timeaccurate computations during the design phase.
publisherThe American Society of Mechanical Engineers (ASME)
titleExtending Highly Loaded Axial Fan Operability Range Through Novel Blade Design
typeJournal Paper
journal volume144
journal issue12
journal titleJournal of Turbomachinery
identifier doi10.1115/1.4055350
journal fristpage121009
journal lastpage12100910
page10
treeJournal of Turbomachinery:;2022:;volume( 144 ):;issue: 012
contenttypeFulltext


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