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Ao HE Honggang GAO Shanshan ZHANG Zhenghong GAO Bodi MA Lulu CHEN Wei DAI 《中国航空学报》2022,35(10):95-105
The Stopped-Rotor(SR) UAV combines the advantages of vertical take-off and landing of helicopter and high-speed cruise of fixed-wing aircraft. At the same time, it also has a unique aerodynamic layout, which leads to great differences in the control and aerodynamic characteristics of various flight modes, and brings great challenges to the flight dynamics modelling and control in full-mode flight. In this paper, the flight dynamics modelling and control method of SR UAV in full-mode flight is st... 相似文献
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Qianpeng ZHAO Jinhu YANG Cunxi LIU Fuqiang LIU Shaolin WANG Yong MU Gang XU Junqiang ZHU 《中国航空学报》2022,35(12):130-143
Lean Blow Out(LBO) poses a significant safety hazard when occurring in aero-engines.Understanding the lower stability limits of gas turbine combustors and the characteristics of spray flame close to LBO are imperative for safe operation. The objective of this work is to evaluate the effects of fuel decreasing rates and pressure drops of the injector on LBO performances in a multiswirl staged combustor equipped with an airblast injector. A set of hardware and control system was developed to reali... 相似文献
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《中国航空学报》2021,34(10):248-264
This study presents a method for measuring the imbalance in a small-sized cylindrical roller. The roller imbalance was calibrated on the built static-pressure-air flotation measurement machine. The impact of the roller imbalance on the dynamic characteristics of a cage were then studied on the aero-bearing test rig. The displacement spectrums with different roller imbalance of the obtained cage orbits under various bearing speed and radial load were used to evaluate the cage stability. The results show that the cage cannot form a stable operating state at a lower bearing speed with or without the unbalanced rollers. The cage with balanced rollers gradually develops stable motion with the increase of the bearing speed. The existence of a small roller imbalance causes the stability of the cage to deteriorate. With an increase in the bearing speed and radial load, the cage with the unbalanced rollers runs unsteadily accompanied by a high-frequency vibration when the roller imbalance is large enough. The vibration amplitude of the cage in the horizontal direction is greater than that in the vertical direction during an unstable operation, which is similar in the stable status. 相似文献
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无人机高速着陆过程中,由于侧风或初始干扰导致的滑跑侧偏极其危险。基于高速状态下方向舵纠偏效率高的特点,建立某无人机高速着陆动力学模型,设计方向舵纠偏控制策略,并基于Matlab/Simulink平台建立无人机滑跑非线性动力学模型及方向舵纠偏控制模型;对具有初始1°偏航角和1m/s持续垂直侧风情况下的无人机着陆工况进行仿真分析,并通过控制着陆速度、着陆初始姿态角和侧风强度,分析纠偏控制系统的性能。结果表明:所设计的纠偏控制系统具有一定的航向纠偏和抗持续侧风能力,最大侧偏距小于3 m,偏航角小于5°,较好地实现了高速滑跑阶段的侧向纠偏性能。 相似文献
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通过对TC21钛合金进行高速铣削加工试验,测量不同切削参数下的表面粗糙度.采用正交方法来安排试验和极差分析法对实验数据处理,分析了不同切削参数对粗糙度的影响.其中对TC21钛合金表面粗糙度影响最为显著的因素是每齿进给量,其次为切削深度和切削速率,最后为切削宽度.通过对粗糙度影响机理分析在加工中宜采用较小的进给量和切削深度、较大的切削速率和切削宽度. 相似文献
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《中国航空学报》2021,34(5):438-451
Requirements for the service performance of aeronautic microelectronic components are increasingly strict. However, sever issues, that the acquisition of the service performance such as micro-mechanical properties is destructive, limit the subsequent application of the tested components. Addressing this issue, this paper proposes a nondestructive acquisition method of the micro-mechanical properties of the accelerometer micro-components, based on analyzing surface traits. To select qualified components without damage, we firstly developed a quasi-static micro-tensile tester and then established a combination prediction model of mechanical properties based on micro-milled surface traits. The model works due to the thin-walled structure, which makes the machined surface traits have significant influences on the mechanical properties such as Young’s modulus, yield strength, tensile strength, and elongation at break. Surface roughness, surface structure, and surface anisotropy are extracted to comprehensively present surface traits from different aspects. For improving the practicability of the model, the principal component analysis (PCA) is adopted to reduce high-dimensional traits explanatory variable space into two dimensions, and regression analysis models are comparative established in predicting the mechanical properties. Residuals analysis and error analysis are carried out to show the prediction accuracy. The maximum prediction error is about 10.62%, but the significance levels in the t-test of the predicted Young’s modulus and yield strength are not ideal. Therefore, kernel support vector regression (SVR) is imported to improve the prediction ability of the combination prediction model. The residuals analysis result shows that SVR is effective in enhancing the prediction ability of this model. 相似文献