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Vibration characteristics of triple-gear-rotor system in compressed air energy storage under variable torque load.
Wang, Xinran; Zhu, Yangli; Li, Wen; Hu, Dongxu; Zhang, Xuehui; Chen, Haisheng.
Afiliação
  • Wang X; Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing, China.
  • Zhu Y; University of Chinese Academy of Sciences, Beijing, China.
  • Li W; Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing, China.
  • Hu D; Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing, China.
  • Zhang X; University of Chinese Academy of Sciences, Beijing, China.
  • Chen H; Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing, China.
Sci Prog ; 104(1): 36850420987058, 2021.
Article em En | MEDLINE | ID: mdl-33427082
ABSTRACT
This paper focuses on the effects of the off-design operation of CAES on the dynamic characteristics of the triple-gear-rotor system. A finite element model of the system is set up with unbalanced excitations, torque load excitations, and backlash which lead to variations of tooth contact status. An experiment is carried out to verify the accuracy of the mathematical model. The results show that when the system is subjected to large-scale torque load lifting at a high rotating speed, it has two stages of relatively strong periodicity when the torque load is light, and of chaotic when the torque load is heavy, with the transition between the two states being relatively quick and violent. The analysis of the three-dimensional acceleration spectrum and the meshing force shows that the variation in the meshing state and the fluctuation of the meshing force is the basic reasons for the variation in the system response with the torque load. In addition, the three rotors in the triple-gear-rotor system studied show a strong similarity in the meshing states and meshing force fluctuations, which result in the similarity in the dynamic responses of the three rotors.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Prog Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Prog Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM