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Optimization design study of low-Reynolds-number high-lift airfoils for the high-efficiency propeller of low-dynamic vehicles in stratosphere

引用

science china(Technological sciences) 2010年第10期53卷 2792-2807页

作者： ma rong1, zhong bowen2 & liu peiqing1 1 key laboratory of fluid mechanics, ministry of education,{3., school of aeronautical science and engineering, beijing University of Aeronautics and Astronautics, beijing 100191, china 2 Department of Aerospace science, school of engineering, Cranfield University, MK43.0AL, United Kingdom 1. key laboratory of fluid {3. Ministry of Education Institute of Fluid Mechanics School of Aeronautical Science and Engineering Beijing University of Aeronautics and Astronautics Beijing 100191 China2. Department of Aerospace Science School of Engineering Cranfield University MK43 0AL Cranfield UK

Aerodynamic performance of low-Reynolds-number high-lift airfoil makes a great impact on designing a high-efficiency propeller for low-dynamic vehicles in stratosphere. At high altitude,low-Reynolds-number airfoils are supposed to have high lift-drag ratio or high endurance factor at cruising attack angle along with good stall characteristics. To design such a high-performance low-Reynolds-number high-lift airfoil,the paper established a hierarchical multi-objective optimization platform by combing direct search optimization algorithm EXTREM and airfoil flow field solver XFOIL to automatically and quickly calculate aerodynamic performance function of airfoil by computer. It provides an effective solution to multi-point design problem of low-speed low-Reynolds-number airfoil. It can be seen from the results of three typical optimization examples,the new airfoil E3.7_OPT2,FX63.13._OPT2 and S1223.OPT2 based on hot low-Reynolds-number high-lift airfoils (Eppler 3.7 airfoil,Wortmann FX63.13. airfoil and S1223.airfoil) can meet the optimization design requirements and have very good aerodynamic characteristics in both design state and non-design state. Thus,the applicability and effectiveness of hierarchical multi-objective optimization platform are verified.

关键词： multi-objective optimization low Reynolds number airfoil EXTREM hierarchical multi-objective optimization

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