Linear and Nonlinear Stability Analysis of Nano-Fluid Flow through a Low-Permeable Porous Channel

The stability of thermal convection in a nanofluid-saturated porous layer with impermeable boundaries is investigated by considering the unsteady Darcy’s model along with the horizontal pressure gradient. The analysis employs linear stability theory, with water as the base fluid in thermal equilibrium with the porous matrix under a single thermal phase. The governing stability equations are formulated as an eigenvalue problem and solved using one-term and higher-order Weighted Residual Galerkin Methods (WRGM). Critical values of the Darcy-Rayleigh number, wave number and wave speed are examined for varying horizontal pressure gradients, Prandtl numbers, nanoparticle volume fractions and thermal diffusivity ratios. The findings indicate that higher thermal diffusivity ratios and pressure gradients stabilize the system, while increased nanoparticle volume fractions and higher Prandtl numbers promote instability. The time evolution of streamlines and isotherms is simulated by solving a nonlinear system of PDEs using the method of lines, combined with regularization and finite difference techniques. Nonlinear stability analysis reveals that nanofluids demonstrate enhanced stability compared to the base fluid. Notably, the analysis identifies a subcritical region between the convection onsets predicted by linear and nonlinear methods, showing that convection begins earlier in the nonlinear regime. These insights are crucial for optimizing nanoparticle concentrations in thermally driven systems, ultimately enhancing heat transfer efficiency.

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Publication Details

Journal
CFD letters
Published
2025-05-31
DOI
https://doi.org/10.37934/cfdl.17.11.160186
Citations
1
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
Field-Weighted Citation Impact
0.67

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article

Linear and Nonlinear Stability Analysis of Nano-Fluid Flow through a Low-Permeable Porous Channel

Harsha Sanathkumar Veerappa, Hemanth Kumar Chelivaraj, Mayur Dhruvaraja Harihara
1 citations
CFD letters
Nanofluid Flow and Heat Transfer
0.67
article

Linear and Nonlinear Stability Analysis of Nano-Fluid Flow through a Low-Permeable Porous Channel

Harsha Sanathkumar Veerappa, Hemanth Kumar Chelivaraj, Mayur Dhruvaraja Harihara
article en
1 citations

Abstract

The stability of thermal convection in a nanofluid-saturated porous layer with impermeable boundaries is investigated by considering the unsteady Darcy’s model along with the horizontal pressure gradient. The analysis employs linear stability theory, with water as the base fluid in thermal equilibrium with the porous matrix under a single thermal phase. The governing stability equations are formulated as an eigenvalue problem and solved using one-term and higher-order Weighted Residual Galerkin Methods (WRGM). Critical values of the Darcy-Rayleigh number, wave number and wave speed are examined for varying horizontal pressure gradients, Prandtl numbers, nanoparticle volume fractions and thermal diffusivity ratios. The findings indicate that higher thermal diffusivity ratios and pressure gradients stabilize the system, while increased nanoparticle volume fractions and higher Prandtl numbers promote instability. The time evolution of streamlines and isotherms is simulated by solving a nonlinear system of PDEs using the method of lines, combined with regularization and finite difference techniques. Nonlinear stability analysis reveals that nanofluids demonstrate enhanced stability compared to the base fluid. Notably, the analysis identifies a subcritical region between the convection onsets predicted by linear and nonlinear methods, showing that convection begins earlier in the nonlinear regime. These insights are crucial for optimizing nanoparticle concentrations in thermally driven systems, ultimately enhancing heat transfer efficiency.

CFD lettersVol. 17(11)
Jain University (IN), PES University (IN), Visvesvaraya Technological University (IN), Bangalore Medical College and Research Institute (IN)
Visvesvaraya Technological University, Vision Group on Science and Technology
Openalex Percentile: Top 31%
Nanofluid Flow and Heat Transfer
0.67
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