Abstract:Carbon nanotubes (CNTs) are highly recognized for their diverse biomedical applications. The present study aims to numerically and statistically study the stratification effects of bioconvective electromagnetohydrodynamic flow past a stretching sheet using water-based CNT. The current study, with applications ranging from biomedical imaging, targeted drug delivery, and cancer therapy, provides a theoretical perspective that is beneficial in biomedical engineering. The mathematically modeled system of partial d… Show more
“…include the local Sherwood number, skin friction coefficients, local motile density number and local Nusselt number, which measure the mass transfer rate, surface drag, heat transfer rate and microbe density number, respectively [33,34]. skin friction coefficients,…”
The present study examines the outcome of viscous dissipation chemical reaction, and stratification in porous media on electromagnetohydrodynamic (EMHD) bioconvective hybrid nanofluid flow over an extending surface, using efficient similarity transformations. The system of partial differential equations (PDEs), which is very nonlinear, is converted to a set of ordinary differential equations (ODEs), which is then numerically solved using MATHMATICA's NDSOLVE METHOD and MATLAB's built-in numerical algorithm, bvp4c, is based on finite differences. Graphical representation between the Numerical results for various values of factors related to buoyancy, magnetic, thermal, and solute stratification include profiles of concentration, motion, and temperature. According to the skin friction coefficient, and local Nusselt and Sherwood numbers graphs, the effect of the magnetic field on the velocity profile is shown to be outweighed by the electric field. the electric field dominates the magnetic field in a physical sense. So the velocity profile speeds up with increasing values of M. The fluid temperature and concentration decrease with the increment of the thermal buoyancy ๐ and solutal stratification parameters, respectively, whereas the magnetic and buoyancy parameters reduce both temperature and concentration profiles. due to the velocity profile acceleration when ๐ increases.
“…include the local Sherwood number, skin friction coefficients, local motile density number and local Nusselt number, which measure the mass transfer rate, surface drag, heat transfer rate and microbe density number, respectively [33,34]. skin friction coefficients,…”
The present study examines the outcome of viscous dissipation chemical reaction, and stratification in porous media on electromagnetohydrodynamic (EMHD) bioconvective hybrid nanofluid flow over an extending surface, using efficient similarity transformations. The system of partial differential equations (PDEs), which is very nonlinear, is converted to a set of ordinary differential equations (ODEs), which is then numerically solved using MATHMATICA's NDSOLVE METHOD and MATLAB's built-in numerical algorithm, bvp4c, is based on finite differences. Graphical representation between the Numerical results for various values of factors related to buoyancy, magnetic, thermal, and solute stratification include profiles of concentration, motion, and temperature. According to the skin friction coefficient, and local Nusselt and Sherwood numbers graphs, the effect of the magnetic field on the velocity profile is shown to be outweighed by the electric field. the electric field dominates the magnetic field in a physical sense. So the velocity profile speeds up with increasing values of M. The fluid temperature and concentration decrease with the increment of the thermal buoyancy ๐ and solutal stratification parameters, respectively, whereas the magnetic and buoyancy parameters reduce both temperature and concentration profiles. due to the velocity profile acceleration when ๐ increases.
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