Lattice Boltzmann Modeling of Electro‐Thermo‐Convection in Dielectric Liquids With Electric Conduction

ABSTRACT This paper develops a two‐relaxation‐time lattice Boltzmann method (TRT‐LBM) framework for simulating electro‐thermo‐convection (ETC) driven by conduction‐based charge transport in a two‐dimensional sidewall‐heated square cavity. The coupled flow, temperature, and charge density fields are resolved using the TRT‐LBM, while the electric potential is computed via a fast Fourier transform (FFT) based Poisson solver with domain extension. Numerical validations under hydrostatic and convective conditions demonstrate strong agreement with analytical and literature results. Parametric studies on the conduction number (), Rayleigh number (), and ion mobility ratio () reveal that the electric field suppresses natural convection by modifying the structure and thickness of heterogeneous charge layers. In the ohmic regime, a lower leads to stronger suppression of flow and heat transfer. At low Rayleigh numbers, the coupling between the electric body force and buoyancy within the charge layer can even induce symmetric secondary vortices. Furthermore, heat transfer suppression initially becomes more pronounced but gradually stabilizes as increases, as indicated by the decreasing relative Nusselt number . Within the investigated parameter range, the strongest suppression occurs at and , where . When the ion mobility ratio deviates from unity, the asymmetry introduced by unequal ion mobilities significantly alters the flow structure and heat transfer performance. As increases from 0.5 to 2.0, the average Nusselt number decreases from 2.49 to 2.21, corresponding to a reduction of approximately .

Authors

Institutions

Publication Details

Journal
International Journal for Numerical Methods in Fluids
Published
2026-09-17
DOI
https://doi.org/10.1002/fld.70099
Primary Topic
Lattice Boltzmann Simulation Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Lattice Boltzmann Modeling of Electro‐Thermo‐Convection in Dielectric Liquids With Electric Conduction

Yifei Guan, Jian Wu, Yung Qin, Kang Luo
International Journal for Numerical Methods in Fluids
Lattice Boltzmann Simulation Studies
article

Lattice Boltzmann Modeling of Electro‐Thermo‐Convection in Dielectric Liquids With Electric Conduction

Yifei Guan, Jian Wu, Yung Qin, Kang Luo
article en

Abstract

ABSTRACT This paper develops a two‐relaxation‐time lattice Boltzmann method (TRT‐LBM) framework for simulating electro‐thermo‐convection (ETC) driven by conduction‐based charge transport in a two‐dimensional sidewall‐heated square cavity. The coupled flow, temperature, and charge density fields are resolved using the TRT‐LBM, while the electric potential is computed via a fast Fourier transform (FFT) based Poisson solver with domain extension. Numerical validations under hydrostatic and convective conditions demonstrate strong agreement with analytical and literature results. Parametric studies on the conduction number (), Rayleigh number (), and ion mobility ratio () reveal that the electric field suppresses natural convection by modifying the structure and thickness of heterogeneous charge layers. In the ohmic regime, a lower leads to stronger suppression of flow and heat transfer. At low Rayleigh numbers, the coupling between the electric body force and buoyancy within the charge layer can even induce symmetric secondary vortices. Furthermore, heat transfer suppression initially becomes more pronounced but gradually stabilizes as increases, as indicated by the decreasing relative Nusselt number . Within the investigated parameter range, the strongest suppression occurs at and , where . When the ion mobility ratio deviates from unity, the asymmetry introduced by unequal ion mobilities significantly alters the flow structure and heat transfer performance. As increases from 0.5 to 2.0, the average Nusselt number decreases from 2.49 to 2.21, corresponding to a reduction of approximately .

International Journal for Numerical Methods in Fluids
Union College (US), Harbin Institute of Technology (CN), Heilongjiang Institute of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 14%
Lattice Boltzmann Simulation Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.