Field balancing of flexible rotors without trial runs using the Numerical Assembly Technique

Titel in Übersetzung: Wuchten flexiblerRotoren ohne Testläufe mittels der Numerical Assmebly Technique

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

Abstract

The balancing of flexible rotor-bearing systems throughout multiple critical speeds is one of the most challenging
tasks in rotor dynamics. The disadvantage of conventional balancing methods is that they require multiple trial
runs, which are costly and time-consuming. Therefore, flexible rotor balancing methods based on the Numerical
Assembly Technique (NAT) have been proposed in recent years, which substitute the measurement of influence
coefficients with simulations. The advantages of NAT are that it leads to analytical solutions and is very computationally
efficient.
The work aims to validate and improve the utility of NAT for the field balancing of flexible rotors. Therefore,
a NAT simulation is used to balance the first two modes of a test bed without trial runs. The internal damping
is included with a viscoelastic material model using fractional time derivatives. The mode shapes, eigenvalues
and unbalance responses are measured and compared to values calculated with NAT, to show the accuracy of the
simulation. The system is successfully balanced using influence coefficients calculated with NAT and a significant
reduction of the vibration amplitude is achieved.
Titel in ÜbersetzungWuchten flexiblerRotoren ohne Testläufe mittels der Numerical Assmebly Technique
Originalspracheenglisch
TitelProceedings of the SIRM2023: 15th European Conference on Rotordynamics
PublikationsstatusVeröffentlicht - 23 Feb. 2023
Veranstaltung15th SIRM – European Conference on Rotordynamics: SIRM 2023 - Technische Universität Darmstadt, Darmstadt, Deutschland
Dauer: 22 Feb. 202324 Feb. 2023

Konferenz

Konferenz15th SIRM – European Conference on Rotordynamics
KurztitelSIRM 2023
Land/GebietDeutschland
OrtDarmstadt
Zeitraum22/02/2324/02/23

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