Aerothermal prediction of hypersonic flow around spherical capsule model using IDDES approach

Aerothermal prediction of hypersonic flow around spherical capsule model using IDDES approach
复制标题

使用 IDDES 方法对球囊模型周围高超声速流动进行气热预测

DOI:
10.1142/s0217979220400780
复制
发表时间:
2020-06
影响因子:
1.7
通讯作者:
Zhang Han-Xin
Zhang Han-Xin
中科院分区:
物理与天体物理4区
文献类型:
--
作者:
Li Chen;Guo Qi-Long;Sun Dong;Zhang Han-Xin

文献摘要

参考文献

相似文献

钝体在高超声速流动中的换热预测仍然是一个巨大的挑战。特别是,由于尾流的复杂性,背风侧的不确定性更大。一般情况下,雷诺平均的N-S(RANS)模型会过高地预测换热。本文采用改进的延迟分离涡模拟(IDDES)方法,模拟了一个缩比球形胶囊模型的6马赫绕流。此外,无粘通量采用低耗散WENO格式,时间推进采用双时间步长方法。将计算结果与实验数据进行了比较,得到了尾翼背风面的平均换热和瞬时换热。结果表明,RANS法的积分误差为75.49%,IDDES法的积分误差为35.69%。此外,IDDES方法也很好地分辨了分离区的多尺度结构。
The prediction of heat transfer for blunt bodies in hypersonic flows remains a great challenge. In particular, the uncertainties are larger in the leeside due to the complexity of the wake flow. Generally, the heat transfer is over-predicted using the Reynolds-averaged Navier–Stokes (RANS) models. In this paper, the improved delayed detached eddy simulation (IDDES) method is used to simulate the Mach 6 flow around a scaled spherical capsule model. In addition, a low dissipative WENO scheme is used for inviscid fluxes and dual-time stepping method is applied for time advancement. Results are compared to experimental data for mean and instantaneous heat transfer in the leeside of the aftbody. It is shown that the integrated error is 75.49% for RANS while 35.69% for IDDES method. Moreover, the multi-scale structures in the separation region are also resolved well by the IDDES method.
DOI: 10.1007/978-981-13-3305-7_56
发表时间: 2018-10
期刊: Lecture Notes in Electrical Engineering
影响因子: --
作者:
Chen Li;Qin Li;Hanxin Zhang
通讯作者: Chen Li;Qin Li;Hanxin Zhang
DOI: 10.2514/1.j052771
发表时间: 2015
期刊: AIAA Journal
影响因子: 2.5
作者:
Joseph M. Brock;P. Subbareddy;G. Candler
通讯作者: Joseph M. Brock;P. Subbareddy;G. Candler
DOI: 10.2514/1.a32729
发表时间: 2014-08
影响因子: 1.6
作者:
Giovanni Salazar;J. Edwards
通讯作者: Giovanni Salazar;J. Edwards
DDES-Tr 对高超声速转变和经过猎户座太空舱的大规模分离的数值研究
DOI: 10.1016/j.ijheatmasstransfer.2019.03.119
发表时间: 2019-07
影响因子: 5.2
作者:
Zhixiang Xiao;Guangxing Wang;Muchen Yang;Lianzhong Chen
通讯作者: Lianzhong Chen