Parametric study and uncertainty quantification of the nonlinear modal properties of frictional dampers
Parametric study and uncertainty quantification of the nonlinear modal properties of frictional dampers
A numerical methodology is described to study the influence of the contact location and contact condition of friction damper in aircraft engines. A simplified beam model is used to represent the blade for the preliminary design stage. The frictional damper is numerically analyzed based on two parameters, contact angle and vertical position of the platform. The nonlinear modal analysis is used to investigate the nonlinear dynamic behavior and damping performances of the system. The harmonic balanced method with the continuation technique is used to compute the nonlinear modes for a large range of energy levels. By using such a modeling strategy, the modal damping ratio, resonant amplitude, and resonant frequency are directly and efficiently computed for a range of design parameters. Monte Carlo simulations together with Latin hypercube sampling is then used to assess the robustness of the frictional damper, whose contact parameters involve much uncertainties due to manufacturing tolerance and also wear effects. The influences of those two parameters are obtained, and the best performances of the frictional damper can be achieved when the contact angle is around 25 deg–30 deg. The vertical position of the platform is highly mode dependent, and other design considerations need to be accounted. The results have proved that the uncertainties that involved contact surfaces do not have significant effects on the performance of frictional damper.
Sun, Y.
7d536759-a700-4839-8511-5378746ba8a9
Yuan, J.
4bcf9ce8-3af4-4009-9cd0-067521894797
Pesaresi, L.
f42c3347-5b3e-4317-9bb1-85d3ab306f13
Denimal, E.
49fe7e8d-c02b-4ebe-b126-4ca1000c939d
Salles, L.
1b179daa-7bb9-4f34-8b5f-dfc05b496969
18 April 2020
Sun, Y.
7d536759-a700-4839-8511-5378746ba8a9
Yuan, J.
4bcf9ce8-3af4-4009-9cd0-067521894797
Pesaresi, L.
f42c3347-5b3e-4317-9bb1-85d3ab306f13
Denimal, E.
49fe7e8d-c02b-4ebe-b126-4ca1000c939d
Salles, L.
1b179daa-7bb9-4f34-8b5f-dfc05b496969
Sun, Y., Yuan, J., Pesaresi, L., Denimal, E. and Salles, L.
(2020)
Parametric study and uncertainty quantification of the nonlinear modal properties of frictional dampers.
Journal of Vibration and Acoustics, Transactions of the ASME, 142 (5).
(doi:10.1115/1.4046953).
Abstract
A numerical methodology is described to study the influence of the contact location and contact condition of friction damper in aircraft engines. A simplified beam model is used to represent the blade for the preliminary design stage. The frictional damper is numerically analyzed based on two parameters, contact angle and vertical position of the platform. The nonlinear modal analysis is used to investigate the nonlinear dynamic behavior and damping performances of the system. The harmonic balanced method with the continuation technique is used to compute the nonlinear modes for a large range of energy levels. By using such a modeling strategy, the modal damping ratio, resonant amplitude, and resonant frequency are directly and efficiently computed for a range of design parameters. Monte Carlo simulations together with Latin hypercube sampling is then used to assess the robustness of the frictional damper, whose contact parameters involve much uncertainties due to manufacturing tolerance and also wear effects. The influences of those two parameters are obtained, and the best performances of the frictional damper can be achieved when the contact angle is around 25 deg–30 deg. The vertical position of the platform is highly mode dependent, and other design considerations need to be accounted. The results have proved that the uncertainties that involved contact surfaces do not have significant effects on the performance of frictional damper.
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Accepted/In Press date: 6 December 2019
Published date: 18 April 2020
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Local EPrints ID: 479218
URI: http://eprints.soton.ac.uk/id/eprint/479218
PURE UUID: 9a99ae57-40cd-48ac-93ab-aeb657251ec9
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Date deposited: 20 Jul 2023 16:46
Last modified: 17 Mar 2024 04:20
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Author:
Y. Sun
Author:
J. Yuan
Author:
L. Pesaresi
Author:
E. Denimal
Author:
L. Salles
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