Optimization of drag-reduction by suction using multi-island genetic algorithm
摘要: 针对吸气减阻技术吸气质量较大的缺点,采用多岛遗传算法与计算流体力学(CFD)相结合的方法,对吸气减阻技术进行了优化.数值计算采用E387二维翼型,将吸气开口位置和吸气质量通量作为优化参数,通过寻找上翼面最佳的吸气开口位置,使翼型阻力和吸气质量最小.结果表明:多岛遗传算法能够有效地优化吸气开口位置和吸气质量;当吸气开口位于最佳位置时,吸气质量达到了寻优区间下限,而翼型减阻效果可达8.3%;吸气没有延缓流动转捩的发生,翼型阻力减小的原因主要是由于压差阻力的减小.Abstract: To overcome the drawback of large suction mass requirement, the suction control for drag reduction was optimized. Computational fluid dynamics (CFD) in conjunction with multi-island genetic algorithm was employed as the tool to achieve the optimization. E387 airfoil was employed as the physical model. The suction location and mass flux of slot were set as the design optimization variables. The goal was to minimize both the airfoil drag and suction mass requirement by identifying the optimal suction location on the upper airfoil surface. The results show that the suction location and the suction mass requirement could be optimized by multi-island genetic algorithm. When the suction location is optimal, the mass flux of slot reaches the lower limit of the optimization interval with the airfoil drag reduced up to 8.3%. The occurrence of transition is not delayed by suction control so that friction drag is not reduced and the airfoil drag reduction is mainly due to the reduction in pressure drag.
- multi-island genetic algorithm /
- airfoil /
- suction /
- drag reduction /
- numerical simulation
 Abbas A,de Vicente J,Valero E.Aerodynamic technologies to improve aircraft performance[J].Aerospace Science and Technology,2013,28(1):100-132.  马汉东,崔尔杰. 大型飞机阻力预示与减阻研究[J].力学与实践,2007,29(2):1-7. Ma H D,Cui E J.Drag prediction and reduction for civil transportation aircraft[J].Mechanics in Engineering,2007,29(2):1-7(in Chinese).  Schlichting H. Boundary layer theory[M].7th ed.New York:McGraw Hill Book Company,1979:380-381.  段会申,刘沛青,何雨薇,等.二维翼型微吸吹气减阻控制新技术数值研究[J].航空学报,2009,30(7):1220-1226. Duan H S,Liu P Q,He Y W,et al.Numerical investigation of drag-reduction control by micro-suction-blowing on airfoil[J].Acta Aeronautica et Astronautica Sinica,2009,30(7):1220-1226(in Chinese).  周明,孙树栋. 遗传算法原理及应用[M].北京:国防工业出版社,1999:4. Zhou M,Sun S D.Genetic algorithms:theory and applications[M].Beijing:National Defence Industry Press,1999:4(in Chinese).  Menter F R,Esch T,Kubacki S.Transition modelling based on local variables[C]//Proceedings of the 5th International Symposium on Engineering Turbulence Modelling and Measurements. Amsterdam:Elsevier,2002:555-564.  Langtry R B,Menter F R.Correlation-based transition modeling for unstructured parallelized computational fluid dynamics codes[J].AIAA Journal,2009,47(12):2894-2906.  Selig M S,McGranahan B D.Wind tunnel aerodynamic tests of six airfoils for use on small wind turbines,AIAA-2004-1188[R].Reston:AIAA,2004.
- 文章访问数: 947
- HTML全文浏览量: 18
- PDF下载量: 770
- 被引次数: 0