A simulation method of aircraft plumes for real-time imaging |
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| Affiliation: | 1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China;2. China Academy of Electronics and Information Technology, Beijing 100041, China;1. University of Belgrade, Faculty of Mechanical Engineering, Weapon Systems Department, Kraljice Marije 16, 11120 Belgrade, Serbia;2. University of Belgrade, Faculty of Mathematics, Department for Computer Science and Informatics, Studentski Trg 16, 11000 Belgrade, Serbia;1. Canadian Hazards Information Service, Natural Resources Canada, Ottawa, Ontario, Canada;2. Department of Physics and Department of Earth Sciences, Carleton University, Ottawa, Ontario, Canada;3. Geological Survey of Canada, Natural Resources Canada, Ottawa, Ontario, Canada;1. Department of Aeronautical·Mechanical Design Engineering, Korea National University of Transportation, Daehak-ro 50, Chungju City, Chungbuk, Republic of Korea;2. Department of Aerospace Engineering, Jeonbuk National University 567 Baekjedaero, Deokjin-gu, Jeonju, Republic of Korea;1. Key Laboratory of Aerospace Thermophysics, MIIT, Harbin Institute of Technology, Harbin 150001, China;2. School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China |
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| Abstract: | Real-time infrared simulation technology can provide a large number of infrared images under different conditions to support the design, test and evaluation of a system having infrared imaging equipment with very low costs. By synthesizing heat transfer, infrared physics, fluid mechanics and computer graphics, a real-time infrared simulation method is proposed based on the method of characteristics to predict the infrared feature of aircraft plumes, which tries to obtain a good balance between simulation precision and computation efficiency. The temperature and pressure distribution in the under-expansion status can be rapidly solved with dynamically changing flight statuses and engine working states. And a modified C–G (Curtis–Godson) spectral band model that combines the plume streamlines with the conventional C–G spectral band model was implemented to calculate the non-uniformly distributed radiation parameters inside a plume field. The simulation result was analyzed and compared with the CFD++, which validates the credibility and efficiency of the proposed simulation method. |
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| Keywords: | Infrared feature prediction Aircraft plumes Flow field solution Real-time imaging |
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