典型高超声速翼身组合体粘性干扰效应模型研究  被引量:7

Study of viscous interaction effect model for typical hypersonic wing-body figuration

在线阅读下载全文

作  者:张益荣[1] 张毅锋[1] 解静 陈坚强[1] 

机构地区:[1]中国空气动力研究与发展中心,四川绵阳621000 [2]中国运载火箭研究院,北京100076

出  处:《空气动力学学报》2017年第2期186-191,共6页Acta Aerodynamica Sinica

基  金:国家自然科学基金(11372342)

摘  要:基于粘性干扰效应的理论研究基础,利用数值模手段获得复杂高超声速外形的气动力数据,建立了完全气体条件下纵向气动力系数的粘性干扰模型;以相对正交距离的形式,给出了粘性干扰模型预测结果的不确定度量化分析。研究表明:从粘性干扰参数的理论研究出发,结合数值模拟手段,是研究高超声速复杂外形粘性干扰效应的有效手段;利用粘性干扰参数和迎角的组合,可以建立具有一定精度的粘性干扰模型,从而将不同高度、马赫数和迎角下的高超声速气动力数据进行关联;利用具有较高计算效率的Euler方程结果,结合粘性干扰模型的修正,获得大规模的用于飞行器设计的气动数据,并建立相应的气动数据库,对于工程设计是一种较为高效、经济的选择。Theory study of viscous interaction effect is reviewed, and aerodynamics data of a complex hypersonic wing-body configuration is obtained by numerical simulation, then the viscous interaction model of longitudinal aerodynamic force coefficient in the condition of perfect gas is established. The quantitative uncertainty of the prediction by viscous interaction model, which is in the form of relative normal distance, is also presented. The results demonstrate that the means combining the theory of viscous interaction parameter and numerical simulation is practicable to assess the viscous interaction effect for hypersonic complex configurations. The viscous interaction model which associated viscous interaction parameter and angle of attack is established, with the ability of correlating varied hypersonic aerodynamics data in different attitudes, Mach numbers and angles of attack; The method in this paper is highly efficient and economic to obtain aerodynamics data during engineering design process. The results using Euler solver efficiently and corrected by presented viscous interaction model can be used to establish massive aerodynamics database for aircraft design in the future.

关 键 词:高超声速流动 数值模拟 粘性干扰 翼身组合体 气动力特性 

分 类 号:V211.3[航空宇航科学与技术—航空宇航推进理论与工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象