| 引用本文: | 罗世彬,罗文彩,丁猛,等.超燃冲压发动机二维进气道多级多目标优化设计方法.[J].国防科技大学学报,2004,26(3):1-6.[点击复制] |
| LUO Shibin,LUO Wencai,DING Meng,et al.The Multi-level and Multiobjective Optimization Design Method for Two Dimensional Scramjet Inlet[J].Journal of National University of Defense Technology,2004,26(3):1-6[点击复制] |
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| 超燃冲压发动机二维进气道多级多目标优化设计方法 |
| 罗世彬, 罗文彩, 丁猛, 王振国 |
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(国防科技大学 航天与材料工程学院，湖南 长沙 410073)
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| 摘要: |
| 提出了超燃冲压发动机二维进气道的多级多目标设计方法。选择总压恢复系数、压升比和阻力系数为性能目标，引入多级设计概念，分别基于一维气动力学分析方法和计算流体力学方法，采用混合遗传算法对4楔角外压和2楔角内压混合压缩进气道进行了多级多目标优化设计，得到了问题的Pareto非劣解集。采用上述方法可以提升超燃冲压发动机进气道的设计水平，得到高性能的设计方案。 |
| 关键词: 超燃冲压发动机 高超声速进气道 多目标优化 数值模拟 混合遗传算法 |
| DOI： |
| 投稿日期：2003-11-05 |
| 基金项目:国家863基金资助项目；国防科技大学创新基金资助项目 |
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| The Multi-level and Multiobjective Optimization Design Method for Two Dimensional Scramjet Inlet |
| LUO Shibin, LUO Wencai, DING Meng, WANG Zhenguo |
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(College of Aerospace and Materials Engineering, National Univ. of Defense Technology, Changsha 410073, China)
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| Abstract: |
| A multi-level and multiobjective optimization (MLMOO) design method for two-dimensional scramjet inlet was established. Total pressure recovery coefficient, static pressure rise and drag coefficient were selected as performance objective functions to form the multiobjective optimization problem (MOP) of the two-dimensional scramjet mixed compression inlet with 4 external compression ramps and 2 internal compression ramps. The concept of multi-level design was introduced into the inlet performance analysis, one dimensional analysis method and computational fluid dynamics (CFD) method were used on the different stages during the optimization design process. To avoid converging to local optimal solutions and using gradient information which was hard to reach for numerical simulation, a multiobjective hybrid genetic algorithm was employed to find Pareto-optimal solutions in one single run for the present MOP. Following the MLMOO design method, the higher performance scramjet inlet would be worked out steadily. |
| Keywords: scramjet hypersonic inlet multiobjective optimization numerical simulation hybrid genetic algorithms |
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