| Issue |
EPL
Volume 135, Number 5, September 2021
|
|
|---|---|---|
| Article Number | 54005 | |
| Number of page(s) | 7 | |
| Section | Electromagnetism, Optics, Acoustics, Heat Transfer, Classical Mechanics, and Fluid Dynamics | |
| DOI | https://doi.org/10.1209/0295-5075/ac318a | |
| Published online | 08 November 2021 | |
Dynamics of flow reversals in the presence of a vertical magnetic field(a)
1 Department of Mathematics, National Institute of Technology - Durgapur 713209, India
2 Engineering Mechanics Unit, Jawaharlal Nehru Centre for Advanced Scientific Research Jakkur P.O., Bangalore 560064, India
(b) pinaki.math@gmail.com (corresponding author)
Received: 15 June 2021
Accepted: 20 October 2021
We investigate the dynamics of flow reversals close to the onset of Rayleigh-Bénard convection (RBC) of electrically conducting low Prandtl number (Pr) Boussinesq fluids in the presence of an external vertical magnetic field. The investigation is carried out by performing three-dimensional (3D) direct numerical simulations (DNS) of the related mathematical model considering the quasi-static approximation. The numerical investigation reveals a rich dynamics of the flow reversals close to the onset of convection. Three qualitatively different kinds of flow reversals, namely chaotic, intermittent and periodic are identified and all are found to occur in the presence of weak magnetic field, measured in terms of the Chandrasekhar number (Q). Explored ranges of the Prandtl number (Pr), the Rayleigh number (Ra) and the Chandrasekhar number are 
, 
and 
, respectively. Out of the three different types of flow reversals, intermittent flow reversal is new and has not been reported so far in convective system to the best of our knowledge. The probability density function of the time interval of occurrences of chaotic flow reversals is found to decay exponentially. The heat transfer properties of the system are also numerically investigated and it is observed that magnetic field facilitates the heat transfer in the considered ranges of the parameter space.
© 2021 EPLA
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