Numerical investigation for entropy‐based magneto nanofluid flow over non‐linear stretching surface with slip and convective boundary conditions

The electromagnetohydrodynamic (EMHD) has a vital role due to its importance in aerospace and plasma physics, including energy transformation systems in which interaction between the liquid and magnetic field is crucial. Further, micropolar fluids with microstructural slip is used in the lubrication and liquid crystals. From this observation, the current study is conducted to express an EMHD flow of liquid on a microstructural slipped surface. The effects of a uniform heat source/sink (HS/S) with homogeneous and heterogeneous chemical reactions have been incorporated in energy and mass profiles. The governing equations are converted to ordinary differential equations using proper similarity variables. The converted equations are computed by the implementation of Runge–Kutta–Fehlberg (RKF) 4th 5th order with shooting technique. A list of the essential dimensionless constraints and graphs showing how they are affected are provided. The outcome of the problem shows that the electric parameter will improve the velocity but decline the microrotation profile. Further, both heterogeneous and homogeneous reactions have a decreasing concentration. While the heat distribution rate increases with greater magnetic and electric fields, the surface drag force decreases.

Section: Introductionmentioning

confidence: 99%

EMHD micropolar fluid flowing through a micro‐structural slipped surface with heat source/sink and chemical reaction

Ramesh,

Hiremath,

Madhukesh

et al. 2024

“…They establish a mutual development of growing in thermal conductivity of produced fluid associated to transport fluid. Numerous causes for thermal conductivity development of nanofluid are advanced thermal conductivity of nano-particles, unsystematic element gesture, nano-layer creation of liquid particles adjacent to nano-particles, nanoparticle collection, and thermo-migration [1][2][3][4][5][6][7][8]. Song et al [9] analyzed Carreau nanofluid with melting mechanism considering Marangoni convective boundary restrictions.…”

Section: Introductionmentioning

confidence: 99%

Computational framework of MHD radiative heat transfer to Carreau nanofluid with Soret‐Dufour effects and activation energy

Irfan,

Muhammad

2023

Recently, the superior rheological, thermo‐physical, and tri‐bological aspects of nanofluids are appropriate for heat transport properties and lubrication in autos. Nanofluids in autos have promising uses for instance a furnace coolant, machine oil, air conditioning structure lubricant, engine oil, foot‐brake fluid, and shock absorber. The thought of nanofluid has made influential devotion from researchers everywhere in world owing to their exceptional thermo‐physical properties and numerous potential assistances and uses in crucial fields for instance, thermosphere, vitality, CPU equipment, and bio‐medicine. Here the article reports the features of heat transport, possessions and persuading parts of fluid, influencing procedures and mechanisms of nanofluids. Furthermore, the purpose of this article is to explore the latest research outcomes in the undeveloped workings on nanofluids, so that scientists in the arena of energy change have a more exhaustive and clears sympathetic view of the energy alteration properties and uses of nanofluids. The 3D Carreau fluid with diverse properties of heat/ mass transportations, that is, MHD, mixed convection, radiation, heat sink/source, Soret‐Dufour impact, zero mass flux and activation energy are examined with bvp4c approach. The Dufour and thermal Biot factors enhance the temperature field; similarly, thermophoretic and Soret factors exaggerate the field of concentration. The larger value of Brownian factor decays the concentration field.

Optimization of micro‐rotation effect on magnetohydrodynamic nanofluid flow with artificial neural network

Shafiq,

Çolak,

Sindhu

2024

It is a major research area in mathematics, physics, engineering, and computer science to study the heat and mass transfer properties of flow. Suspensions containing multiple nanoparticles or nanocomposites have recently gained a wide range of applications in biological research and clinical trials under certain conditions. Nanofluids are important suspensions that allow nanoparticles to disseminate and behave in a homogeneous and stable environment. Therefore, here magnetohydrodynamic micropolar nanofluid flow towards the stretching surface with artificial neural network has been considered. In this study, radiation and heat source phenomena have been presented in heat convection. Brownian and thermophoresis effects and micro‐rotational particles are also taking into account. The non‐linear simplified equations have been calculated numerically via Runge‐Kutta fourth‐order shooting process. The calculation of the Sherwood number, Nusselt number, couple stress coefficient, and skin friction coefficient has been conducted utilizing diverse parameters. Furthermore, the outcomes have been employed to create four distinct artificial neural networks. Our observation indicates that an increase in the heat source quantity leads to a rise in heat generation, resulting in a greater total heat output and an increase in the temperature field. Coefficient of determination “R” values higher than 0.99 have been obtained for the artificial neural network models. The obtained findings have shown that artificial neural networks can predict thermal parameters with high accuracy.