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Students of SAA won the "Excellent postgraduate dissertation Award of Chinese Society of Aeronautics and Astronautics in 2023"
Published：2023-09-19
Recently, the "Excellent postgraduate dissertation Award of Chinese Society of Aeronautics and Astronautics in 2023" has completed the review and announced the results.
3 students of SAA won the awards: Chen Junming and Liang Zhenqi won the Award of Excellent Master's thesis, and Zhuang Haowan won the nomination award of Excellent Master's thesis.
A total of 100 materials nominated by 16 unit members, 14 professional branches and 11 academicians of the Chinese Academy of Sciences participated in the review, coming up with 45 excellent doctoral dissertations and 55 excellent master's degree theses. After formal review, professional preliminary evaluation (double-blind) and comprehensive review (double-blind), 30 dissertations were awarded.
Name: Chen Junming
Supervisor: Liu Longquan
Title: Thermal control performance of phase change material combined with ultra-light hollow metallic microlattice for microsatellites
Instruction: A method of the fabrication of the microlattice phase change material (MPCM) is reported, which is a lightweight heat storage material using a combination of PCMs and hollow metallic microlattice materials. The thermal control performance of the MPCM is studied using a combination of theoretical analysis, experimental tests, and numerical simulations. Parametric analysis reveals that the thermal control performance of MPCM is quite sensitive to the micro-structure of the microlattice. The equivalent heat flux is determined to realize the homogenization of the thermal properties of MPCM. The application of hollow microlattice materials in the field of aerospace thermal management materials has been developed.
Name: Liang Zhenqi
Supervisor: Xiao Gang
Title: MotionTrack: rethinking the motion cue for multiple object tracking in USV videos
Introduction: Unmanned aerial vehicles (UAV) and unmanned aerial vehicles (USV) are widely used in military and civilian fields by virtue of their size and low cost. With the development of artificial intelligence, visual multi-object tracking task has become an influential technology in the field of autonomous driving. Aiming at the specific problems of target scale, large-scale change and real-time performance in UAV video, this thesis proposes a multi-target tracking algorithm for UAV video based on attention mechanism and feature alignment. Aiming at the problem of large position variation between frames in USV video, a multi-target tracking algorithm for USV video based on Gaussian distance cascade matching and observation-centered Kalman filter is further designed. Results show that the proposed algorithm has good performance in accuracy and speed, and has certain practical significance for intelligent video understanding and analysis and vision-based applications of unmanned aerial vehicle and unmanned aerial vehicle.
Name: Zhuang Haowan
Supervisor: Teng Jinfang
Title: Impacts of non-axisymmetric stagger angle on performance of compressor rotor blade
Introduction: Higher economic benefits and better design performance are always pursued in the development of modern civil turbofan engines with large bypass ratio. Compressor, the key component of function conversion, will directly affect the performance and stability of the whole machine by its performance. And it is practical to study the aerodynamic performance of non-axisymmetric installation Angle distribution. This thesis aims to explore the influence of installation Angle error of non-axisysymmetric compressor blade on blade performance under different working conditions, and summarize the relationship between blade design characteristics and compressor working state and installation Angle change on performance.
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