Nonlinear Dynamic Analysis on Dual-Rotor-Bearing-Casing System for Marine Gas Turbine

IF 1.7 4区 工程技术 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Complexity Pub Date : 2024-07-17 DOI:10.1155/2024/8747551
Zhikai Xing, Qiang Wang, Yongbao Liu, Mo Li, Xin Zhang
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Abstract

Taking the marine gas turbine as a research background, a dual-rotor-bearing-casing system model was established considering the bearing nonlinearities and unbalanced excitation. Based on Lagrange’s equation of motion and rotor dynamics theory, the effects of key parameters such as radial clearance of intershaft bearing, rotor mass eccentricity, and rotational speed on the nonlinear characteristics of the system are investigated. The results indicate that the typical parameters have a significant effect on the system’s nonlinearities. To alleviate the vibration jump phenomenon, the radial clearance should be reduced to improve the coupling between the high- and low-pressure rotors. Reducing the mass eccentricity can effectively degrade the resonance peaks, but it will highlight the hard resonance characteristics. The work process should pass through the resonant-speed regions and the low-speed regions of start-stop phase as soon as possible. The research findings contribute to understanding the nonlinear dynamic characteristics of dual-rotor systems, providing a theoretical basis for their stable operation and the optimal design of working speeds.

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船用燃气轮机双转子轴承套管系统的非线性动态分析
以船用燃气轮机为研究背景,建立了考虑轴承非线性和不平衡激励的双转子-轴承-机壳系统模型。基于拉格朗日运动方程和转子动力学理论,研究了轴间轴承径向游隙、转子质量偏心率和转速等关键参数对系统非线性特性的影响。结果表明,典型参数对系统的非线性有显著影响。为缓解振动跳跃现象,应减小径向间隙,以改善高压转子和低压转子之间的耦合。减小质量偏心可以有效降低共振峰值,但会突出硬共振特性。工作过程应尽快通过共振速度区和起停阶段的低速区。研究成果有助于理解双转子系统的非线性动态特性,为其稳定运行和工作速度的优化设计提供理论依据。
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来源期刊
Complexity
Complexity 综合性期刊-数学跨学科应用
CiteScore
5.80
自引率
4.30%
发文量
595
审稿时长
>12 weeks
期刊介绍: Complexity is a cross-disciplinary journal focusing on the rapidly expanding science of complex adaptive systems. The purpose of the journal is to advance the science of complexity. Articles may deal with such methodological themes as chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. Papers treating applications in any area of natural science or human endeavor are welcome, and especially encouraged are papers integrating conceptual themes and applications that cross traditional disciplinary boundaries. Complexity is not meant to serve as a forum for speculation and vague analogies between words like “chaos,” “self-organization,” and “emergence” that are often used in completely different ways in science and in daily life.
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