Lattice Boltzmann simulation of cross diffusion via Soret and Dufour effects on natural convection of experimental data based MWCNTs-H2O nanofluids in an L-shaped enclosure

• DOI: 10.1016/j.ijft.2023.100546
• Publication Date: 2023-12-14T11:00:37Z
• Authors: Khairunnahar Suchana; Md. Mahadul Islam; Md. Mamun Molla
• Keywords: Lattice Boltzmann methods; Lewis number; Sherwood number

The cross-diffusion via Soret and Dufour impacts on natural convection in an L-shaped enclosure full of multi-walled carbon nanotubes (MWCNTs)-H2O (water) nanofluids has been studied numerically utilizing the multiple-relaxation-time (MRT) lattice Boltzmann method (LBM) through graphics processing unit (GPU) computing. indented part L-shape is cold (Tc), while left bottom walls chamber maintain a heated (Th) temperature. adiabatic boundary condition present cavity's remaining walls. thermal conductivity viscosity are function fluid temperature, corresponding correlation was derived from experimental data. current methodology data based outcomes wholly noble. Numerical simulations have done for numeroust relevant pertinent such as Rayleigh number, 3×103≤Ra≤3×105, buoyancy ratio, −2≤Br≤2, volume fraction, 0.0≤ϕ≤0.01, 0.0≤Sr≤0.2, 0.0≤Df≤0.2, Prandtl Pr=6.2, Lewis Le=2 fixed. results presented regarding streamlines, isotherms, isoconcentration, velocity temperature distribution, local Nusselt average Sherwood total entropy production. It discovered that with growing numbers, fractions, Nu¯ Sh¯ rise. For various numbers Ra = (3×103, 3×104, 3×105), grew by 29.95%, 19.86%, 1.77% respectively when ϕ increased 0.0 to 0.01. graph reaches its maximum Ra=3×105. streamlines grow enhances. In addition, fraction rises 0.02, Nu because more potent conductivity, but Sh falls. highest formation found Ra=(3×105), general rate improves enlarged Bejan number stays constant. Finally, response surface analysis done, output closely matches original simulation results.