Geometric design of friction ring dampers in blisks using nonlinear modal analysis and Kriging surrogate model

Yekai Sun, Enora Denimal, Jie Yuan, Loïc Salles

Research output: Contribution to journalArticlepeer-review

Abstract

Integrally bladed disks (blisk) have been widely used in the turbo-machinery industry due to its high aerodynamic performance and structural efficiency. A friction ring damper (FRD) is usually integrated in the system to improve its low damping. However, the design of the geometry of this FRD become complex and computationally expensive due to the strong nonlinearities from friction interfaces. In this work, we propose an efficient modelling strategy based on advanced nonlinear modal analysis and Kriging surrogate models to design and optimize the geometry of a 3D FRD attached to a high fidelity full-scale blisk. The 3D ring damper is parametrised with a few key geometrical parameters. The impact of each geometric parameter and their sensitivities to nonlinear dynamic response can be efficiently assessed using Kriging meta-modelling based on a few damped nonlinear normal modes. Results demonstrate that the damping performances of ring dampers can be substantially optimized through the proposed modelling strategy whilst key insights for the design of the rings are given. It is also demonstrated that the distribution of the contact normal load on the contact interfaces has a strong influence on the damping performances and can be effectively tuned via the upper surface geometry of the ring dampers.

Original languageEnglish
Article number98
JournalStructural and Multidisciplinary Optimization
Volume65
Issue number3
DOIs
Publication statusPublished - Mar 2022

Keywords

  • Compressor blisk
  • Damped nonlinear normal mode
  • Friction ring damper
  • Geometric study
  • Nonlinear vibration
  • Surrogate model

Fingerprint

Dive into the research topics of 'Geometric design of friction ring dampers in blisks using nonlinear modal analysis and Kriging surrogate model'. Together they form a unique fingerprint.

Cite this