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contributor authorWaite, Joshua J.
contributor authorKielb, Robert E.
date accessioned2017-05-09T01:17:26Z
date available2017-05-09T01:17:26Z
date issued2015
identifier issn1528-8919
identifier othergtp_137_01_012502.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/157844
description abstractSuccessful, efficient turbine design requires a thorough understanding of the underlying physical phenomena. This paper investigates the flutter phenomenon of low pressure turbine (LPT) blades seen in aircraft engines and power turbines. Computational fluid dynamics (CFD) analysis will be conducted in a twodimensional (2D) sense using a frequency domain Reynoldsaveraged Navier—Stokes (RANS) solver on a publicly available LPT airfoil geometry: أ‰cole Polytechnique Fأ©dأ©rale De Lausanne (EPFL's) Standard Configuration 4. An emphasis is placed on revealing the underlying physics behind the threatening LPT flutter mechanism. To this end, flutter sensitivity analysis is conducted on three key parameters: reduced frequency, mode shape, and Mach number. Additionally, exact 2D acoustic resonance interblade phase angles (IBPAs) are analytically predicted as a function of reduced frequency. Made evident via damping versus IBPA plots, the CFD model successfully captures the theoretical acoustic resonance predictions. Studies of the decay of unsteady aerodynamic influence coefficients away from a reference blade are also presented. The influence coefficients provide key insights to the harmonic content of the unsteady pressure field. Finally, this work explores methods of normalizing the work per cycle by the exit dynamic pressure.
publisherThe American Society of Mechanical Engineers (ASME)
titlePhysical Understanding and Sensitivities of Low Pressure Turbine Flutter
typeJournal Paper
journal volume137
journal issue1
journal titleJournal of Engineering for Gas Turbines and Power
identifier doi10.1115/1.4028207
journal fristpage12502
journal lastpage12502
identifier eissn0742-4795
treeJournal of Engineering for Gas Turbines and Power:;2015:;volume( 137 ):;issue: 001
contenttypeFulltext


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