Supercritical Natural Laminar Flow Airfoil Optimization

摘要：

　　In this paper,supercritical natural laminar flow airfoil is optimized by genetic algorithm based on computational fluid dynamics.The SST γ-Reθtransition model is used to predict the transition location for a laminar-turbulent boundary layer.The capacity of the transition model is validated by NLF0416 airfoil.A hybrid optimization algorithm based on Non-dominated Sorting Genetic Algorithm-II(NSGA-II)and Kriging surrogate model is used to minimize the total drag and to maximize the lift-to-drag ratio.An airfoil with good laminar performance is obtained after optimization.Based on the optimized airfoil,some suggestions are proposed for supercritical natural laminar flow airfoil design.

关键词： Natural laminar flow transition model supercritical airfoil optimization methods design rules

作者: Xiaoming Fang Yufei Zhang Haixin Chen

作者单位: School of Aerospace Engineering,Tsinghua University,Beijing,100084,China

会议类型: 国际会议

会议名称: 2014 Asia-Pacific International Symposium on Aerospace Technology(2014亚太航空航天技术学术会议)

会议地点: 上海

会议语种:英文

页码: 1-9

在线出版日期: 2014-09-24（万方平台首次上网日期，不代表论文的发表时间）