The energy and mass transition through Newtonian hybrid nanofluid flow comprised of copper Cu and aluminum oxide (Al₂O₃) nanoparticles (nps) over an extended surface has been reported. The thermal and velocity slip conditions are also considered. Such a type of physical problems mostly occurs in symmetrical phenomena and are applicable in physics, engineering, applied mathematics, and computer science. For desired outputs, the fluid flow has been studied under the consequences of the Darcy effect, thermophoresis diffusion and Brownian motion, heat absorption, viscous dissipation, and thermal radiation. An inclined magnetic field is applied to fluid flow to regulate the flow stream. Hybrid nanofluid is created by the dispensation of Cu and Al₂O₃ nps in the base fluid (water). For this purpose, the flow dynamics have been designed as a system of nonlinear PDEs, which are simplified to a system of dimensionless ODEs through resemblance substitution. The parametric continuation method is used to resolve the obtained set of dimensionless differential equations. It has been noticed that the consequences of heat absorption and thermal radiation boost the energy transmission rate; however, the effect of suction constraint and Darcy–Forchhemier significantly diminished the heat transference rate of hybrid nanofluids. Furthermore, the dispersion of Cu and Al₂O₃ nps in the base fluid remarkably magnifies the velocity and energy transmission rate.

Atherosclerosis is an accumulation of plaque, which can result in changes in blood flow in the vicinity, leading to severe heart attack. This paper presents a phenomenological fluid–structure interaction study of plaque rupture in stenosed bifurcated elastic arteries. We use the coupled monolithic Arbitrary Lagrange Euler (ALE) formulation for fluids and solids. We consider the Navier–Stokes equation to govern the non-Newton blood flow and linear elastic model for walls. We treat the interface as a continuum. We utilize the stable $P_2{P}_1$ finite element pair for velocity and pressure discretization in space. The nonlinear discretized algebraic system is tackled using the Newton method, with the Jacobian matrices approximated via a divided differences approach. The resulting linear systems are addressed using the direct solver MUltifrontal Massively Parallel Sparse direct Solver (MUMPS). We then determine the wall shear stress (WSS) for both minimum and maximum times, accounting for elastic walls. The study’s findings enhance our understanding of the mechanisms behind plaque rupture and aid in developing better diagnostic and therapeutic strategies.

Wind energy is a widely used and renewable source for electricity generation. However, traditional wind turbines face challenges such as large footprints, noise, high costs, and efficiency limitations. To address these issues, bladeless wind turbines (BWTs) have gained popularity, and extensive research is being carried out to develop efficient designs. In this work, we propose a novel BWT design, inspired by the spine structure found in human bodies. The BWT architecture is modular, autonomous, and robust, making it suitable for small, portable, and small-scale applications. Our BWT design was inspired by the spine structure found in the human body and other vertebrates. The BSWT architecture is modular, autonomous, and robust. Detailed 3D models were created using Fusion 360 and SolidWorks software to refine and iterate the design. Our BWT features a complete electrical system with an energy harvesting base, a rectifier, converter, and a storage battery. The stored energy is then converted to AC and connected to the load. Our design utilizes oscillating rods divided into sections, enabling energy generation even at low wind speeds. The casing protects the rods from shear stresses and corrosion. While practical applicates involve a spine design with multiple sections, our experiments primarily focus on a single turbine.