摘要: |
为了探索弯曲激波压缩流场性能所能达到的范围,分别在无粘和粘性条件下,通过多目标优化设计和抽样计算获取了高性能弯曲激波压缩方案,并与传统的压缩方式进行了对比。研究结果表明:(1)无粘条件下流场多目标优化Pareto最优解集中存在长度、压缩效率、低马赫数流量系数等性能参数均优于等激波强度三楔压缩的方案;(2)粘性条件下压比均为8.29(1±0.5%)时,弯曲激波压缩流场与等熵压缩流场相比,长度缩短了35%;与等激波强度三楔压缩流场相比,长度缩短了8%,总压恢复系数大小相当,来流马赫数4时流量系数高6%;与斜楔-等熵压缩相比,总压恢复系数仅相差1.1%,而来流马赫数4时流量系数提高了6%;其出口截面附面层厚度、附面层形状因子均低于其他压缩方式。 |
关键词: 高超声速进气道 弯曲激波压缩 气动反设计 多目标优化 |
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基金项目:国家自然科学基金(90916029;11102087;11572155)。 |
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Performance Analysis of Hypersonic 2D Curved Shock Compression Flow Field |
WANG Lei,ZHANG Kun-yuan,SU Wei-yi,JIN Zhi-guang
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(Nanjing University of Aeronautics and Astronautics,Jiangsu Province Key Laboratory of Aerospace Power System,Nanjing 210016,China)
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Abstract: |
To explore performance potential of hypersonic curved shock compression,high performance curved shock compression design results were obtained through multi-objective optimization and sampling computation,and were compared with traditional compression,under both inviscid and viscous condition. The results show that,(1)under inviscid condition,in the Pareto solutions of Multi-objective optimization,there exist curved shock compression cases,which have shorter length,higher compression efficiency and higher mass capture ratio under low flight Mach number,than traditional equal shock strength three ramps compression; (2)under viscous condition,when pressure ratio is 8.29(1±0.5%),compared with isentropic compression,the length of curved compression is 35% shorter; compared with traditional equal shock strength three ramps compression,the length of curved compression is 8% shorter,the total pressure ratio is approximately equal,and the mass capture ratio under flight Mach number of 4 is 6% higher; compared with ramp-isentropic compression,the total pressure ratio of curved compression is 1.1% lower,while the mass capture ratio under flight Mach number of 4 is 6% higher; outlet boundary layer thickness and shape factor of curved shock compression are lower than those of other compression methods. |
Key words: Hypersonic inlet Curved shock compression Gas-dynamic inverse design Multi-objective optimization |