Neural network-driven analysis of MHD boundary layer flow and heat transfer in Sisko nanofluids DOI
K. Jyothi,

B. Venkateswarlu,

P. Chandra Reddy

et al.

Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2025, Volume and Issue: 8(6)

Published: May 7, 2025

Language: Английский

Influence of radiative heat transfer on hybrid nanofluid across a curved surface with porous medium DOI

Roopa K.R.,

P. A. Dinesh,

Sweeti Yadav

et al.

International Journal of Numerical Methods for Heat &amp Fluid Flow, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 17, 2025

Purpose The purpose of this study is to examine how fluid flow and heat transfer are affected by the influence hybrid nanofluids flowing across a stagnation zone stretching curved surface. Stagnation point has garnered considerable attention over past few decades. This because many technical applications, such as cooling nuclear reactors rotating equipment divisions, rely on stagnation-point flow. Design/methodology/approach A thorough analysis conducted impacts several regulating parameters thermal performance, including radiation parameter, source mixed convection porosity parameter curvature nanoparticle concentration. laws governing field equations transformed similarity substitutions into two nonlinear ordinary differential equations, which then solved numerically using Maple. MR-Solve technique in built-in Maple package was used. used solve highly coupled equation problems. approach produced precise consistent results. It also provides best performance while minimum amount CPU shortest phrases. Findings main conclusions show that axial velocity drops, radial increases increases. rate transmission skin friction higher for nanoparticles with volume fraction percentile (0.01–0.03) than those (0.1–0.3). Research limitations/implications Further research topic could broader range values, suction/injection, entropy, mass equation, micropolar fluid, ternary nanofluid Newtonian heating Practical implications By investigating novel physical design combines various effect flow, adds value offers insights prospective improvements discipline mechanics. Mathematical modeling or experimental studies variety multiphysical contexts can be achieve this. Heat exchangers, crystalline procedures, microelectronic machines, systems conserving energy, integrating operations, food manufacturing, climate control, purification other engineering domains all benefit from geometric configurations investigated study. results greatly aid optimizing application domains. it compares percentiles. Originality/value surface’s traversed nanofluids, offering affects efficiency. improvement energy efficiencies commercial biological purposes. offer possibilities increased efficiency applications developing control methods helping create ideal systems.

Language: Английский

Citations

0

Neural network-driven analysis of MHD boundary layer flow and heat transfer in Sisko nanofluids DOI
K. Jyothi,

B. Venkateswarlu,

P. Chandra Reddy

et al.

Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2025, Volume and Issue: 8(6)

Published: May 7, 2025

Language: Английский

Citations

0