Skip to main navigation Skip to search Skip to main content

Research on rotary parts vibration suppression based on coaxiality measurement and unbalance constraint

  • Harbin Institute of Technology
  • Nuclear Power Institute of China

Research output: Contribution to journalArticlepeer-review

Abstract

To suppress the vibration of rotary parts, this paper established an unbalanced vibration response control model of rotary parts based on rotating axis coordinate system. This model considered the stacking transformation of geometric parameter errors and mass parameter errors of single stage rotor. First of all, the centroid transfer model based on the actual rotation axis was established, and the unbalanced excitation force vector of each stage of the rotor was studied. Secondly, the unbalanced excitation force vector of each stage of the rotor is substituted into the model of assembly vibration control based on the double constraints optimization strategy. Finally, the simulation analysis and the vibration experiment of three-stage rotor stacking assembly is carried out. The results show that the vibration of the engine rotor can be effectively suppressed by adjusting the assembly phase of the rotors, and the vibration amplitude of the combined rotor assembled by the double constraint optimization assembly strategy is 22.5% less than the vibration amplitude assembled by the direct assembly strategy. Besides, the coaxiality and the unbalance are reduced by 44.1% and 78.4%, which fully shows the advantages of the double constraint optimization assembly strategy.

Original languageEnglish
Article number5747
JournalApplied Sciences (Switzerland)
Volume11
Issue number12
DOIs
StatePublished - 2 Jun 2021

Keywords

  • Assembly phase
  • Centroid coordinate transformation
  • Double constraint
  • Rotary parts
  • Vibration suppression

Fingerprint

Dive into the research topics of 'Research on rotary parts vibration suppression based on coaxiality measurement and unbalance constraint'. Together they form a unique fingerprint.

Cite this