### 电导率模拟对高超声速MHD控制影响

1. 中国空气动力研究与发展中心 计算空气动力研究所, 绵阳 621000
• 收稿日期:2019-03-18 修回日期:2019-04-08 出版日期:2019-12-03 发布日期:2019-04-17
• 通讯作者: 董维中 E-mail:dongwz1966@163.com

### Impact of simulation of electrical conductivity on hypersonic MHD control

DING Mingsong, JIANG Tao, LIU Qingzong, DONG Weizhong, GAO Tiesuo, FU Yang'aoxiao

1. Computational Aerodynamics Institute, China Aerodynamics Research and Development Center, Mianyang 621000, China
• Received:2019-03-18 Revised:2019-04-08 Online:2019-12-03 Published:2019-04-17

Abstract: Electrical conductivity of high temperature air is one of the most import parameters in numerical studies of hypersonic flow Magneto-Hydro-Dynamic(MHD) control. Considering the thermochemical non-equilibrium effect in the hypersonic flow, a numerical simulation of MHD method using 3D low magnetic Reynolds number and the corresponding computational codes is carried out, addressing the accuracy of the electrical conductivity simulation and its impact on hypersonic flow MHD control. Based on several common computational approaches to electrical conductivity, the numerical simulation analyzes the impact of simulation of electrical conductivity on the hypersonic flow MHD control. The results show that the relationship between the descent degree of heat flux by using MHD control and electrical conductivity is nonlinear. The thermal saturation phenomenon of electrical conductivity in MHD control exists at high electrical conductivity, and its mechanism may be related to chemical equilibrium state.Using the given electrical conductivity condition will magnify the magneto-resistance effect, overestimating the predicted drag coefficient. Electrical conductivities calculated by different conductivity models can be quite different, even not of the same order, thus can have a great influence on the control effect of hypersonic MHD flow. This is relevant to the application scope of conductivity model and select principle of parameter. For the high temperature hypersonic flow that contains multiple dissociated and ionized components, using electrical conductivity model, identified as M8 in this paper, which is based on multiple ionized components, can produced best consistency between the computational results and the experimental results.