2019
DOI: 10.3390/app9224762
|View full text |Cite
|
Sign up to set email alerts
|

A Reduced-Order Model for the Vibration Analysis of Mistuned Blade–Disc–Shaft Assembly

Abstract: An effective reduced-order model is presented in this paper for the vibration analysis of a mistuned blade–disc–shaft assembly considering the flexibility of the shaft and the rotordynamic effects. For the sake of accurate modeling and quantitative analysis, three-dimensional (3D) finite element models were employed in obtaining the governing equations of motion with the Coriolis force, centrifugal stiffening, and spin softening effects taken into account. Then, an efficient model order reduction technique bas… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 31 publications
0
1
0
Order By: Relevance
“…This deviation from the nominal shape is usually referred to as "mistuning" and can be distinguished into just random mistuning and intentional mistuning, and this latter is introduced to mitigate the vibrations of the random mistuning itself [4,5]. A dedicated modeling is therefore required, usually based on reduced-order models [5][6][7], and this can provide a tool for the optimization of the intentional mistuning pattern [8,9]. The mistuning can even be obtained by applying a coating on the blades with an intentional different thickness on each blade, which can be easily controlled at the manufacturing stage [6].…”
Section: Introductionmentioning
confidence: 99%
“…This deviation from the nominal shape is usually referred to as "mistuning" and can be distinguished into just random mistuning and intentional mistuning, and this latter is introduced to mitigate the vibrations of the random mistuning itself [4,5]. A dedicated modeling is therefore required, usually based on reduced-order models [5][6][7], and this can provide a tool for the optimization of the intentional mistuning pattern [8,9]. The mistuning can even be obtained by applying a coating on the blades with an intentional different thickness on each blade, which can be easily controlled at the manufacturing stage [6].…”
Section: Introductionmentioning
confidence: 99%