Yingzhi Zhang , Huibin Sun , Xiaoxia Zhang , Wanxuan Liu , Kai Chen , Cheng Yan
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引用次数: 0
Abstract
Rotor Tip Assembly Clearance (RTAC) significantly affects the aerodynamic performance and safety of aero-engines. Accurate prediction of RTAC is essential for effective control. However, existing prediction models fail to consider multi-sources uncertainty induced by limited measurement data and process execution. To address this issue, this paper proposes a prediction method for RTAC under multi-sources un-certainties. The uncertainties related to the RTAC and the quantification method are studied. Based on the deterministic prediction model and probability box theory, the formation mechanism of RTAC uncertainty is revealed. RTACs and their distribution at different phases, blades and stages are predicted and analyzed. Furthermore, the estimation methods for probability of RTAC overproof are proposed based on prediction responses. The feasibility of the proposed method is verified through a case study. The results provide more reliable reference for engineers in decision-making.
期刊介绍:
Aerospace Science and Technology publishes articles of outstanding scientific quality. Each article is reviewed by two referees. The journal welcomes papers from a wide range of countries. This journal publishes original papers, review articles and short communications related to all fields of aerospace research, fundamental and applied, potential applications of which are clearly related to:
• The design and the manufacture of aircraft, helicopters, missiles, launchers and satellites
• The control of their environment
• The study of various systems they are involved in, as supports or as targets.
Authors are invited to submit papers on new advances in the following topics to aerospace applications:
• Fluid dynamics
• Energetics and propulsion
• Materials and structures
• Flight mechanics
• Navigation, guidance and control
• Acoustics
• Optics
• Electromagnetism and radar
• Signal and image processing
• Information processing
• Data fusion
• Decision aid
• Human behaviour
• Robotics and intelligent systems
• Complex system engineering.
Etc.