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16 December 2022 Research on parametric modelling method of aero-engine guide vane adjustment mechanism of variable geometry turbine reflecting dimensional uncertainty
Kai Zhou, Jia Li, Liyang Xie, Fei Zhao, Yi Wang
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Proceedings Volume 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022); 125002O (2022) https://doi.org/10.1117/12.2660380
Event: 5th International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 2022, Chongqing, China
Abstract
Aiming at the problem of low control accuracy of aero-engine kinematics, the multidisciplinary coupled dynamics simulation method and reliability modelling method are studied. In this paper, based on the ADAMS software platform, the parametric modelling is proposed for aero-engine guide vane adjustment mechanism of variable geometry turbine, and the parametric model is simulated. The equation of motion for the mechanism is established based on MATLAB and is theoretically analyzed and verified. The result is consistent with the theoretical analysis result, which verifies the correctness of the mathematical model and the simulation model. The dimensional uncertainty caused by machining errors and the effect of component deformation caused by external loads on the vane motion accuracy are considered in this paper. Through the simulation analysis, the key factors affecting the vane motion accuracy can be identified, providing guidance for the establishment of the reliability model. Finally, the reliability of the vane rotation angle is calculated by Monte Carlo method. The method proposed in this paper can be used to improve the reliability design and optimize the structure of the guide vane adjustment mechanism of variable geometry turbine.
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Kai Zhou, Jia Li, Liyang Xie, Fei Zhao, and Yi Wang "Research on parametric modelling method of aero-engine guide vane adjustment mechanism of variable geometry turbine reflecting dimensional uncertainty", Proc. SPIE 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 125002O (16 December 2022); https://doi.org/10.1117/12.2660380
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KEYWORDS
Motion models
Monte Carlo methods
Error analysis
Reliability
Modeling
Motion analysis
Mathematical modeling
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