The data driven surrogate model based dynamic design of aero-engine fan systems

Yun Peng Zhu, Jie Yuan, Z. Q. Lang, C. W. Schwingshackl, Loic Salles, V. Kadirkamanathan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

High cycle fatigue failures of fan blade systems due to vibrational loads are of great concern in the design of aero engines, where energy dissipation by the relative frictional motion in the dovetail joints provides the main damping to mitigate the vibrations. The performance of such a frictional damping can be enhanced by suitable coatings. However, the analysis and design of coated joint roots of gas turbine fan blades are computationally expensive due to strong contact friction nonlinearities and also complex physics involved in the dovetail. In this study, a data driven surrogate model, known as the Nonlinear in Parameter AutoRegressive with eXegenous input (NP-ARX) model, is introduced to circumvent the difficulties in the analysis and design of fan systems. The NP-ARX model is a linear input-output model, where the model coefficients are nonlinear functions of the design parameters of interest, such that the Frequency Response Function (FRF) can be directly obtained and used in the system analysis and design. A simplified fan bladed disc system is considered as the test case. The results show that by using the data driven surrogate model, an efficient and accurate design of aero-engine fan systems can be achieved. The approach is expected to be extended to solve the analysis and design problems of many other complex systems.

Original languageEnglish
Title of host publicationStructures and Dynamics
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791884225
DOIs
Publication statusPublished - 2020
Externally publishedYes
EventASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition, GT 2020 - Virtual, Online
Duration: 21 Sep 202025 Sep 2020

Publication series

NameProceedings of the ASME Turbo Expo
Volume10B-2020

Conference

ConferenceASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition, GT 2020
CityVirtual, Online
Period21/09/2025/09/20

Keywords

  • Contact friction
  • Data driven
  • Design
  • Dry film lubricant coating
  • Fan blade system
  • Surrogate model

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