Chemical Radiative Magnetohydrodynamics Flows of Micropolar Nanofluid from a Horizontal Circular Non-Permeable Cylinder: A Numerical Analysis
Asra Anjum, S. Abdul Gaffar, D. Sateesh Kumar, Samdani Peerusab
Abstract
This study numerically and theoretically investigates the buoyancy-driven, laminar, incompressible, non-similar computational solution of chemically radiative magnetohydrodynamics flows of micropolar nanofluid from a horizontal circular non-permeable cylinder. Buongiorno’s two-phase Nanofluid model is used in the present study which generates both thermophoresis and Brownian motion. Under physically appropriate boundary conditions, the modified conservation equations are mathematically solved using the flexible implicit second-order finite difference Keller box method. An excellent correlation is obtained when our current code is validated using previous research from the literature. The discoveries offer novelty perspectives and creative insights into the intricate interactions between different physical phenomena in nanofluid convection, contributing to a deeper understanding of heat transmission and fluid dynamics with prospective applications in thermal management systems, and sophisticated cooling technologies. The intricate interactions inside the fluid are clarified through extensive numerical simulations. Observations show that by increasing Magnetic parameter ( M ) there is a substantial decline in velocity and angular velocity, but temperature concentration boosts strongly, conversely as chemical reaction parameter ( K 2 ) enhances, velocity, angular velocity is depreciated, however, temperature and concentration profiles are elevated steadily. Moreover, as thermal radiation ( R ) appreciates skin friction, Nusselt number amplifies on the contrary Sherwood number and wall couple stress depreciate. The study significantly advances the understanding of magnetohydrodynamic (MHD) flows of micropolar nanofluids, incorporating radiative heat transfer and chemical reactions. It provides valuable insights into optimizing heat transfer and fluid dynamics in advanced cooling systems and energy-efficient applications. The findings contribute to both theoretical modeling and practical applications in industries such as aerospace, power generation, and nanotechnology.