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contributor authorGutierrez Salas, Mauricio
contributor authorPetrie-Repar, Paul
contributor authorKielb, Robert E.
contributor authorKey, Nicole L.
date accessioned2019-03-17T10:23:20Z
date available2019-03-17T10:23:20Z
date copyright10/11/2018 12:00:00 AM
date issued2019
identifier issn0742-4795
identifier othergtp_141_03_032505.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4256105
description abstractAccuracy when assessing mistuned forced response analyses is still a major concern. Since a fully coupled analysis is still very computational expensive, several simplifications and reduced-order models (ROMs) are carried out. The use of a reduction method, the assumptions and simplifications, generate different uncertainties that challenge the accuracy of the results. Experimental data are needed for validation and also to understand the propagation of these uncertainties. This paper shows a detailed mistuned forced response analysis of a compressor blisk. The blisk belongs to the Purdue Three-Stage (P3S) Compressor Research Facility. Two different stator–rotor–stator configurations of 38 and 44 upstream stator vanes are taken into consideration. Several loading conditions are analyzed at three different speed lines. A ROM known as subset nominal mode (SNM), has been used for all the analyses. This reduction takes as a basis a set of modes within a selected frequency spectrum. It can consider a complete family of modes to study the disk–blade modal interaction. A detailed comparison between the predicted and measured results has been performed, showing a good agreement for the high loading (HL) conditions.
publisherThe American Society of Mechanical Engineers (ASME)
titleA Mistuned Forced Response Analysis of an Embedded Compressor Blisk Using a Reduced-Order Model
typeJournal Paper
journal volume141
journal issue3
journal titleJournal of Engineering for Gas Turbines and Power
identifier doi10.1115/1.4041280
journal fristpage32505
journal lastpage032505-13
treeJournal of Engineering for Gas Turbines and Power:;2019:;volume( 141 ):;issue: 003
contenttypeFulltext


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