Dynamic Model Of Rotor System And Research On Unbalance Identification Method

Rotor system is the core component of aero engine, has an important influence on the dynamic characteristics of the performance and reliability of the engine. In the aero engine design process, dynamic characteristics of the rotor system need to be predicted accurately, and the dynamic characteristics of rotor system with rotor, bearing has a direct relationship. Therefore, Based on the rotor- bearing system as the research object, diagonal contact ball bearing dynamic stiffness etc. Based on the analysis of the performance parameters. Combining with the model correction technology. To establish the accurate finite element model of the rotor bearing system, Based on model rotor rough measure of identification methods are studied.First, analysis of the modeling method of rolling bearing, on the basis of kinetics of using simulation method to establish the analysis model of angular contact ball bearing. Considering rolling body of centrifugal force and gyroscopic moment factors such as the analysis of the different rotating speed of the bearing contact Angle, contact load and deformation, and the influence law of dynamic stiffness, Put forward the dynamic rigidity of the angular contact ball bearing equivalent test method, the dynamic stiffness of Angle contact ball bearing test, identified the relatively accurate dynamic stiffness of bearing.The second, rotor roulette structure finite element model is established. The test modal data is used for the finite element model updating, Make the analysis of the finite element model of the revised result is consistent with the experimental results. More real reflect dynamic characteristics of structure, Get the more accurate finite element model. Considering the bearing stiffness along with the change of rotating speed, Established finite element model of the rotor bearing system, analyzes the dynamic stiffness and the stiffness of the bearing to the influence of the rotor bearing system critical speed.Based on the revised finite element model of the rotor- bearing system, The unbalance of recognition method is presented based on the model, In turn the Huber-M estimation method and Tukey-M estimation method, Fast accurately identify the size of the unbalance, phase position and role. In order to verify the estimation method of robustness, In the simulation calculation of vibration displacement response data with different levels of noise, Comparative analysis the Huber-M estimation method and the Tukey-M estimation method for different SNR noise signal recognition results, Huber-M estimation of noise signal anti-interference ability is better than that of Tukey-m estimation method, In the case of noise is bigger, still can obtain more accurate estimates of the results. Finally, the rotor test rig, Measured the unbalance response signal of bearing rotor system, combined with the finite element model, the unbalance identification test validation, Test results show that using the test data with noise, can more accurately identify the unbalance of the rotor system, and the identification results of the finite element model before and after correction has carried on the experiment contrast, using the revised is used to identify the unbalance of the finite element model can improve the identification accuracy.