摘要
采用多面体网格、切割体网格和四面体网格对空天飞机模型进行数值模拟,将模拟获得的气动力数据与试验值进行对比分析,通过计算误差来对比研究不同网格模拟的高超声速飞行器气动力计算精度。数值模拟结果表明,各工况下3种网格都能较准确地模拟空天飞机的气动力特性。其中,多面体网格对气动力的计算精度最高,计算得到的气动力系数值误差最小;而四面体网格计算得到的气动力系数值误差最大。但在部分工况下,通过四面体网格模拟得到的升、阻力系数相对于试验值的误差倍数相当,使得计算得到的升阻比更接近试验值。此外,通过与试验纹影图对比,3种网格都能较为准确地模拟空天飞机模型的流场结构。然而,多面体网格和切割体网格对激波的分辨能力要强于四面体网格。随着攻角的增大,通过多面体网格模拟得到的激波分辨能力更强,而切割体网格对激波内部流场的捕捉更为准确。
The aerodynamic performances of the aerospace plane model were numerically simulated using polyhedral mesh,trim mesh and tetrahedral mesh in this work.The obtained aerodynamic coefficients were compared with the corresponding experimental results,and the accuracy of different meshes on the aerodynamic calculation was investigated through the calculation error.It was found that the three types of meshes could simulate the aerodynamic coefficients of aerospace plane accurately,among which the polyhedral mesh had the best accuracy on aerodynamic calculation,while having the lowest numerical error of aerodynamic coefficients.By contrast,the numerical error of aerodynamic coefficients calculated by tetrahedral mesh was highest.However,in some cases,the ratio of lift coefficient to experimental value calculated by tetrahedral mesh was close to the ratio of resistance coefficient to experimental value,making the lift to drag ratio closer to the experimental result.In addition,by comparing with the experimental schlieren images,the three meshes could simulate the flow field structure of the aerospace plane model accurately.Among them,the polyhedral mesh and trim mesh had better resolution capacity of shock waves than the tetrahedral mesh.However,with the increased attack angle,the polyhedral mesh had better performance in capturing shock waves around the aerospace plane model,while trim mesh could capture the internal flow structures more accurately.
作者
贡天宇
胡宋健
李怡庆
Gong Tian-yu;Hu Song-jian;Li Yi-qing(School of Flight Vehicle Engineering,Nanchang Hangkong University,Nanchang 330063,China)
出处
《南昌航空大学学报（自然科学版）》
CAS
2023年第2期10-18,共9页
Journal of Nanchang Hangkong University(Natural Sciences)
基金
国家自然科学基金(12002144)
江西省教育厅科技项目(GJJ190523)
南昌航空大学研究生创新专项资金(YC2021-058)。
