Flow Stability of Hunt Flow under Low-intensity Magnetic Field

Authors

Dong Shuai, School of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China;
Li Shuang, School of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China;
Xuemin Ye, School of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China;

Abstract

Abstract: The stability of conducting fluid flow in ducts under magnetic field is vital to materials preparation and the design and operation of thermonuclear fusion cooling system. A model of MHD duct flow which is known as Hunt’s flow is simulated by non-normal mode stability analysis in this study^.. The amplification and distribution of optimal primary perturbations are obtained by solving iteratively the direct and adjoint governing equations with respect of the perturbation variables. Four modes of perturbations with different symmetries in the space are considered, and the effect of the low-intensity magnetic field is also taken into account. The results show that, when the Hartmann number Ha is small, the perturbations in the form of different modes exhibit transient growth. By contrast, when Ha is large, these perturbations behave differently: the perturbations in the form of mode I, III and IV grow transiently; the perturbations of mode II grows exponentially, meanwhile, the flow stability is related to jets.

Recommended Citation

Shuai, Dong; Shuang, Li; and Ye, Xuemin (2019) "Flow Stability of Hunt Flow under Low-intensity Magnetic Field," Journal of System Simulation: Vol. 31: Iss. 8, Article 14.
DOI: 10.16182/j.issn1004731x.joss.17-0301
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss8/14

First Page

1605

Revised Date

2017-11-26

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.17-0301

Last Page

1616

CLC

O361.5

Recommended Citation

Dong Shuai, Li Shuang, Ye Xuemin. Flow Stability of Hunt Flow under Low-intensity Magnetic Field[J]. Journal of System Simulation, 2019, 31(8): 1605-1616.

DOI

10.16182/j.issn1004731x.joss.17-0301