Multi-Objective Optimization Design of a Novel Integral Squeeze Film Bearing Damper

Gang Zhu,Jianjiang Yang,Lidong He,Wei Yan,Xingyun Jia,Yipeng Zhang

doi:10.3390/machines9100206

Gang Zhu, Jianjiang Yang + Show 4 more

Open Access

https://doi.org/10.3390/machines9100206

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Journal: Machines	Publication Date: Sep 23, 2021
Citations: 9	License type: CC BY 4.0

Affiliation: Beijing University of Chemical Technology

Abstract

In order to better control the vibration of the rotor system so as to improve the stability and safety of the rotor, a novel vibration control solution is needed. In this paper, the multi-objective optimization problem is used for designing a novel integral squeeze film bearing damper (ISFBD). The method attempts to reduce the stiffness and stress convergence of ISFBD, which can greatly decrease the transmitted force of the rotor system and better use the damping effect to dissipate the vibration energy. The finite element model of ISFBD is established to analyze the stiffness and stress, and the correctness of the calculation is verified by setting up a stiffness test platform. The sensitivity of different structural parameters of stiffness and stress is analyzed by ANOVA. Meanwhile, the non-dominated sorting genetic algorithm (NSGA-II) and grey correlation analysis (GRA) algorithms are coupled for multi-objective optimization of stiffness and stress. The results indicate that optimized ISFBD can distribute 26.6% of the rotor system’s energy and reduce 59.3% of the transmitted force at the bearing location. It is also proved that the optimization strategy is effective, which can provide a useful method for ISFBD design in practical applications.

Highlights

With the development of modern science and technology, the rotor of a machine is developing towards higher speed and heavier loads
Zhang et al [11] applied a multi-dimensional optimization method based on a sequential quadratic programming (SQP) algorithm for the unbalanced force and unbalanced moment of multi-stage disks to solve the vibration problem of the tie rod rotor
The results showed that the algorithm can achieve optimal design in an effective way

Summary

Introduction

With the development of modern science and technology, the rotor of a machine is developing towards higher speed and heavier loads. Zhang et al [11] applied a multi-dimensional optimization method based on a sequential quadratic programming (SQP) algorithm for the unbalanced force and unbalanced moment of multi-stage disks to solve the vibration problem of the tie rod rotor. The transmitted force of the rotor can be reduced and the energy dissipation can be enhanced at the same time It has a good vibration control effect on a wide frequency range. The structural design of ISFBD can change its structural performance, such as through stiffness and stress, which will lead to a change in the rotor system characteristics, affecting the safety and stability of the rotor system and providing a good vibration control strategy for industrial machines. The weight coefficients of other factors B, C, D and so on are similar to Equation (13) in this way

Multi-Objective Optimization Based on NSGA-II and GRA Algorithm

Sensors

Findings

Preamplifier