Abstract

With the rapid development of aero-engine manufacturing technology, the dual-rotor system has been employed in part of turbofan engine in order to improve the working performance of aircraft more efficiently. In this study, taking the counter-rotation dual-rotor as the research object, the dynamic model of dual rotor-casing coupling system is established by the aid of MATLAB. The dynamic frequency curves are in good agreement with the results in references and calculated by FEM method, that shows the validity and feasibility of the model. The local rub-impact dynamic model of dual rotor-casing coupling system is established, and rubbing analysis is carried out using Newmark- β method. The effects of rotating speed and speed ratio on local rub-impact response are deeply discussed. The results show that with the increase of rotating speed, combined frequencies and frequency multiplication components are more significant. In addition, speed ratio has a great influence on the periodic motion of the system. With the increase of the absolute value of the speed ratio, the whirl radius of the outer rotor and the normal rubbing force increase dramatically.

Highlights

  • The dual rotor system is widely used in aeroengine

  • The dynamic characteristics of the dual rotor system become more complex compared with single rotor system

  • The model of dual rotor-casing coupling system is established, and the local rubbing response is analyzed in this article

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Summary

Introduction

The dual rotor system is widely used in aeroengine. In order to reduce vibration amplitudes and improve the performance of the whole machine, such as reliability, stability, and so on, the research of dual rotor structure is deeply studied. In order to further understand the steady-state response characteristics of the dual rotor system under blade-casing rubbing, they discussed the effects of different control parameters such as mass eccentricity, intershaft bearing stiffness, and rotating speed on the dynamic characteristics of the system.

Results
Conclusion
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