首页> 外文期刊>Journal of the Brazilian Society of Mechanical Sciences and Engineering >Optimization of NACA 4412 augmented with a gurney flap by using grey relational analysis
【24h】

Optimization of NACA 4412 augmented with a gurney flap by using grey relational analysis

机译:使用灰色关系分析优化 NACA 4412 的轮床瓣增强

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

The gurney flap which has increased the lift coefficient at the trailing edge is used to improve the aerodynamic performance of the airfoil. In this study, the effect of the aerodynamic performance of baseline augmented with various dimensions of gurney flap (GF) structures was optimized by Taguchi method-based grey relational analysis (GRA) unlike previous works. Based on Taguchi's L-16 orthogonal array method, the designs of the experiments were employed to optimize four control factors that were position (Delta x), angle (alpha), thickness (Delta t), and length (Delta L) of the GF on the airfoils. In aerodynamic studies based on GRA method, optimum parameters for alpha, Delta L, Delta t, and Delta x of GF were obtained as 75 degrees, 1.5c, 2c, and 0c. The degree of effect in aerodynamic performance was investigated by analysis of variance (ANOVA). The results show that the effect order of these four control factors was obtained as Delta x > Delta h > Delta t > alpha which means that while Delta x parameter with 37.62 has the strongest effect on the lift coefficient (C-L) and drag coefficient (C-D), alpha parameter with 3.06 has the lowest effect. The use of the GF model, which has the most optimal parameter, increased the efficiency (high C-L; low C-D) by 35.62 compared to the baseline in terms of GRA. In addition, empirical equations of the C-L and C-D on the airfoils were derived by regression analysis (RA). The values attained from empirical and numerical results (confirmation test) were highly compatible with each other.
机译:轮床襟翼增加了后缘的升力系数,用于改善翼型的空气动力学性能。本研究采用田口方法的灰色关联分析(GRA)优化了不同维度轮床皮瓣(GF)结构增强基线空气动力学性能的影响。基于田口L-16正交阵列方法,采用实验设计优化了GF在翼型上的位置(Delta x)、角度(alpha)、厚度(Delta t)和长度(Delta L)4个控制因子。在基于GRA方法的空气动力学研究中,GF的α、Delta L、Delta t和Delta x的最佳参数为75度、1.5%c、2%c和0%c。通过方差分析(ANOVA)研究了对空气动力学性能的影响程度。结果表明,这4个控制因子的效应顺序为Delta x>Delta h>Delta t > alpha,这意味着37.62%的Delta x参数对升力系数(C-L)和阻力系数(C-D)的影响最大,而3.06%的alpha参数对升力系数(C-D)的影响最小。使用具有最优参数的GF模型,与基线相比,GRA的效率(高C-L;低C-D)提高了35.62%。此外,通过回归分析(RA)推导了翼型上C-L和C-D的经验方程。从经验和数值结果(确认检验)获得的值彼此高度兼容。

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号