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contributor authorBerg, Rachel A.
contributor authorTan, C. S.
contributor authorDing, Zhongman
contributor authorLaskowski, Gregory
contributor authorPalafox, Pepe
contributor authorMiorini, Rinaldo
date accessioned2019-02-28T10:56:49Z
date available2019-02-28T10:56:49Z
date copyright1/17/2018 12:00:00 AM
date issued2018
identifier issn0742-4795
identifier othergtp_140_06_062502.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4251059
description abstractFast response pressure data acquired in a high-speed 1.5-stage turbine hot gas ingestion rig (HGIR) show the existence of pressure oscillation modes in the rim-seal-wheelspace cavity of a high pressure gas turbine stage with purge flow. The experimental results and observations are complemented by computational assessments of pressure oscillation modes associated with the flow in canonical cavity configurations. The cavity modes identified include shallow cavity modes and Helmholtz resonance. The response of the cavity modes to variation in design and operating parameters are assessed. These parameters include cavity aspect ratio (AR), purge flow ratio, and flow direction defined by the ratio of primary tangential to axial velocity. Scaling the cavity modal response based on computational results and available experimental data in terms of the appropriate reduced frequencies appears to indicate the potential presence of a deep cavity mode as well. While the role of cavity modes on hot gas ingestion cannot be clarified based on the current set of data, the unsteady pressure field associated with turbine rim cavity modal response can be expected to drive ingress/egress.
publisherThe American Society of Mechanical Engineers (ASME)
titleExperimental and Analytical Assessment of Cavity Modes in a Gas Turbine Wheelspace
typeJournal Paper
journal volume140
journal issue6
journal titleJournal of Engineering for Gas Turbines and Power
identifier doi10.1115/1.4038474
journal fristpage62502
journal lastpage062502-11
treeJournal of Engineering for Gas Turbines and Power:;2018:;volume( 140 ):;issue: 006
contenttypeFulltext


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