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contributor authorZhou, Biao
contributor authorXie, Chengyu
contributor authorBattiato, Giuseppe
contributor authorBerruti, Teresa Maria
date accessioned2025-04-21T10:23:07Z
date available2025-04-21T10:23:07Z
date copyright9/19/2024 12:00:00 AM
date issued2024
identifier issn0742-4795
identifier othergtp_147_01_011014.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4306075
description abstractThis paper explores two different blisk dynamic models for resonant vibration prediction of a rotating blisk test piece, i.e., the Model-BDTID and geometrically mistuned models (GMM). The former represents a mistuned blisk model with blade mistuning pattern experimentally retrieved by a recently proposed blade mistuning identification method based on blade detuning tests (BDTID). It falls into the scope of the frequency-mistuning modeling approach. The latter refers to a geometrically mistuned model constructed upon high-precision blisk geometry data by leveraging the advanced optical geometry measurement technology. A specifically developed “Sector Mode Assembling Reduction Technique” is exploited for efficient dynamic analyses of the large-sized GMM. Forced response tests are performed in a spinning rig under well-controlled laboratory condition. The blade tip-timing (BTT) technique is employed to give all-blade vibration measurements of the rotating blisk. Correlation results between the forced response predictions to BTT measurements demonstrate that both the Model-BDTID constructed upon the identified blade mistuning of the blisk at rest and the GMM, can predict the resonant vibration of the rotating blisk with satisfactory accuracy.
publisherThe American Society of Mechanical Engineers (ASME)
titleForced Response of Rotating Blisks: Prediction and Correlation to Blade Tip-Timing Measurements
typeJournal Paper
journal volume147
journal issue1
journal titleJournal of Engineering for Gas Turbines and Power
identifier doi10.1115/1.4066291
journal fristpage11014-1
journal lastpage11014-10
page10
treeJournal of Engineering for Gas Turbines and Power:;2024:;volume( 147 ):;issue: 001
contenttypeFulltext


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