Deep Galerkin method computation for high machinery cooling with microbial swimmers in viscoelastic nanofluids with non-Fourier and non-Fick fluxes
Purpose Efficient thermal management remains a critical challenge for modern spacecraft due to increasing power densities and extreme operating conditions. This study aims to investigate the flow, heat and mass transfer characteristics of third-grade nanofluid containing microbial swimmers over a horizontal cylinder under the influence of an inclined magnetic field, incorporating non-Fourier heat flux and non-Fick mass flux models. Design/methodology/approach The highly nonlinear coupled system of ordinary differential equations is solved numerically using the deep Galerkin method (DGM), a robust physics-informed deep learning approach. Findings The effects of key parameters such as thermal relaxation parameter (λ1), concentration relaxation parameter (λt), curvature parameter (γ) and third-grade viscoelastic fluid parameter on velocity, temperature, concentration and motile density profiles are thoroughly analyzed. Quantitative results show that an increase in the thermal relaxation parameter reduces the skin-friction coefficient by approximately 13% (from 3.417 to 2.968) while decreasing the local Nusselt number and increasing the local Sherwood and density numbers. A similar trend is observed with the concentration relaxation parameter. Microbial swimmers significantly enhance micro-convection and the inclined magnetic field together with the relaxation parameters provide effective control over thermal and mass boundary layers. Overall, the third-grade viscoelastic nanofluid with microbial swimmers demonstrates superior and tunable thermal performance compared with conventional fluids. Originality/value The present analysis demonstrates that third grade viscoelastic nanofluids with microbial swimmers offer superior thermal performance compared to conventional fluids, making them promising candidates for advanced bio-inspired spacecraft cooling systems. This work provides valuable insights for the development of next-generation passive and active thermal management technologies for satellites and deep-space missions.
Authors
- Rahila Naz (ORCID: https://orcid.org/0000-0002-5494-2699)
- Noreen Sher Akbar (ORCID: https://orcid.org/0000-0003-4530-5978)
- Taseer Muhammad (ORCID: https://orcid.org/0000-0002-0838-2731)
Institutions
- Prince Mohammad bin Fahd University (SA)
- Institute of Space Technology (PK)
- King Khalid University (SA)
Publication Details
- Journal
- International Journal of Numerical Methods for Heat & Fluid Flow
- Published
- 2026-11-05
- DOI
- https://doi.org/10.1108/hff-07-2026-0928
- Primary Topic
- Nanofluid Flow and Heat Transfer
- Type
- article
- Field-Weighted Citation Impact
- 0.00