contributor author | Zhou, Biao | |
contributor author | Xie, Chengyu | |
contributor author | Battiato, Giuseppe | |
contributor author | Berruti, Teresa Maria | |
date accessioned | 2025-04-21T10:23:07Z | |
date available | 2025-04-21T10:23:07Z | |
date copyright | 9/19/2024 12:00:00 AM | |
date issued | 2024 | |
identifier issn | 0742-4795 | |
identifier other | gtp_147_01_011014.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4306075 | |
description abstract | This 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. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Forced Response of Rotating Blisks: Prediction and Correlation to Blade Tip-Timing Measurements | |
type | Journal Paper | |
journal volume | 147 | |
journal issue | 1 | |
journal title | Journal of Engineering for Gas Turbines and Power | |
identifier doi | 10.1115/1.4066291 | |
journal fristpage | 11014-1 | |
journal lastpage | 11014-10 | |
page | 10 | |
tree | Journal of Engineering for Gas Turbines and Power:;2024:;volume( 147 ):;issue: 001 | |
contenttype | Fulltext | |