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Dynamic modeling analysis of the gas turbine engine rotor system with SFD

CholUk Ri (Kim Chaek University of Technology, Pyongyang, Democratic People’s Republic of Korea)
KwangChol Ri (Pyongyang University of Mechanical Engineering, Pyongyang, Democratic People’s Republic of Korea)
ZhunHyok Zhang (Kim Chaek University of Technology, Pyongyang, Democratic People’s Republic of Korea)
ChungHyok Chae (Kim Il Sung University, Pyongyang, Democratic People’s Republic of Korea)
Qiang Zhao (Northeast Forestry University, Harbin, China)
HyeIl Pak (Kim Chaek University of Technology, Pyongyang, Democratic People’s Republic of Korea)
JaeHun Kim (Kim Chaek University of Technology, Pyongyang, Democratic People’s Republic of Korea)
Hwan NamGung (Pyongyang University of Transport, Pyongyang, Democratic People’s Republic of Korea)
ChangSop Kim (Pyongyang University of Transport, Pyongyang, Democratic People’s Republic of Korea)

Aircraft Engineering and Aerospace Technology

ISSN: 0002-2667

Article publication date: 1 February 2022

Issue publication date: 26 April 2022

240

Abstract

Purpose

As a core rotating component of power machinery and working machinery, the rotor system is widely used in the fields of machinery, electric power and aviation. When the system operates at high speed, the system stability is of great importance. To enhance the system stability, squeeze film damper (SFD) is being installed in the rotor system to alleviate vibration. The purpose of this paper is to first classify the rotor system into two types, the dual rotor system and the single rotor system, and to comprehensively and specifically mention the method of generating the dynamic model. Next, based on the establishment of a dynamic model with and without SFD in the rotor system, the optimization design of the rotor system with SFD was carried out using a genetic algorithm. Through sensitivity analysis, SFD clearance, shaft stiffness and oil viscosity were determined as design variables of the rotor system, and the objective function was the minimization of the maximum amplitude of the rotor system with SFD within the operation speed range.

Design/methodology/approach

In this paper, first, the rotor system was classified into two types, namely, the dual rotor system and the single rotor system, and the method of creating a dynamic model was comprehensively and specifically mentioned. Here, the dynamic model of the rotor system was derived in detail for the single rotor system and the dual rotor system with and without SFD. Next, based on the establishment of a dynamic model with and without SFD in the rotor system, the optimization design of the rotor system with SFD was carried out using a genetic algorithm. The sensitivity analysis of the unbalanced response was carried out to determine the design variables of the optimization design. Through sensitivity analysis, SFD clearance, shaft stiffness and oil viscosity were determined as design variables of the rotor system, and the objective function was the minimization of the maximum amplitude of the rotor system with SFD within the operation speed range.

Findings

SFD clearance, shaft stiffness and oil viscosity were determined as design variables of the rotor system through sensitivity analysis of the unbalanced response. These three variables are basic factors affecting the amplitude of the rotor system with SFD.

Originality/value

In the existing studies, only a dynamic model of a single rotor system with SFD was created, and the characteristic values of pure SFD were selected as optimization variables and optimization design was carried out. But in this study, the rotor system was classified into two types, namely, the dual rotor system and the single rotor system, and the method of creating a dynamic model was comprehensively and specifically mentioned. In addition, optimization design variables were selected and optimized design was performed through sensitivity analysis on the unbalanced response of factors affecting the vibration characteristics of the rotor system.

Keywords

Citation

Ri, C., Ri, K., Zhang, Z., Chae, C., Zhao, Q., Pak, H., Kim, J., NamGung, H. and Kim, C. (2022), "Dynamic modeling analysis of the gas turbine engine rotor system with SFD", Aircraft Engineering and Aerospace Technology, Vol. 94 No. 6, pp. 915-932. https://doi.org/10.1108/AEAT-08-2021-0256

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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