Multi-mode and multi-target method for optimizing kinetic parameters of missile-supported dry friction damper

By optimizing the dynamic parameters of the branch-branch friction damper under multimodal and multi-target conditions, the problem of inability to effectively suppress complex vibrations of the aero engine rotor system in the prior art is solved, and a better vibration suppression effect is achieved.

CN119740330AActive Publication Date: 2025-04-01NORTHWESTERN POLYTECHNICAL UNIV
5 Cites 2 Cited by

Patent Information

Application Number
CN202411779622.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-05
Publication Date
2025-04-01
Estimated Expiration
2044-12-05

AI Technical Summary

Technical Problem

When designing elastic-branch friction dampers, it is difficult to achieve accurate dynamic parameter optimization in multimodal and multi-objectives, resulting in the inability to effectively suppress complex vibrations in the rotor system of the aero engine.

Method used

The dynamic parameter optimization method of the multi-modal multi-objective elastic branch and dry friction damper is adopted. By determining the controlled mode and its matching damper, a multi-objective optimization function is established, and a particle swarm algorithm is used to optimize the parameters to obtain the optimal and suboptimal dynamic parameters.

Benefits of technology

The dynamic parameters optimization of the elastic branch and dry friction damper under multi-modal and multi-target conditions are achieved, which improves the vibration suppression effect of the rotor system and ensures that all fulcrum dampers can play the best vibration damper within the working speed range.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention relates to the technical field of aero-engine design, in particular to a multi-mode and multi-target missile-supported dry friction damper kinetic parameter optimization method, which comprises the following steps of: determining a controlled mode and a missile-supported dry friction damper matched with the controlled mode; dynamic parameters of the elastic support dry friction damper in the single mode are optimized; and dynamic parameters of the multi-mode elastic support dry friction damper are optimized. According to the method, in the dynamic parameter optimization stage of the elastic-supported dry friction damper in a single mode and the dynamic parameter optimization stage of the elastic-supported dry friction damper in a multi-mode, the dynamic parameters of the elastic-supported dry friction damper are automatically optimized in combination with the particle swarm optimization, so that the final dynamic parameters are determined; therefore, the design efficiency and accuracy of the kinetic parameters are improved.
Need to check novelty before this filing date? Find Prior Art