Shrishail Basaprabhu Sollapur

The present analysis elucidates the impact of low-oscillating and high-oscillating magnetic fields on the tetra hybrid nanofluid flow past a rough revolving disk. Additionally, the influence of nonlinear thermal radiation and non-uniform heat source/sink on the fluid flow is considered to evaluate the heat transport attributes. The classical von Karman issue of a revolving disk is examined with partial slip at the disk surface. The similarity variables are used to convert the governing partial differential equations (PDEs) into ordinary differential equations (ODEs). Furthermore, the resultant ODEs are solved numerically using the Runge–Kutta Fehlberg’s fourth-fifth order (RKF-45) approach. Moreover, the Levenberg–Marquardt artificial neural network (LM-ANN) is employed to assess the heat transmission rate for various parameters. Also, the results of RKF-45 are compared with the outcomes of the LM-ANN technique. A sensitivity analysis is performed using response surface methodology (RSM) with analysis of variance (ANOVA) to investigate the heat transport rate for various parameters. The graphical depictions are utilized to investigate the notable impact of several dimensionless parameters on the thermal and velocity profiles. The comparison of the low-oscillating magnetic field and high-oscillating magnetic field for various parameters on the velocity profile is elucidated in this study. The rise in the thermal radiation parameter, along with temperature-and space-dependent heat source/sink parameters, increases the temperature profile.

Rotating disks have major applications in the engineering and industrial sectors. In engineering, kinetic energy is converted to thermal energy using the rotating disk, particularly in vehicle braking systems. Nanofluids have a variety of uses in heat transfer, including fuel cells, electrical devices, hybrid engines, medical procedures and residential refrigerators. High-oscillating magnetic fields are important because of their impact on scientific and technological advancement. Inspired by these applications, the current research inspects the effect of a high-oscillating magnetic field on the time-dependent flow of nanofluid across a slow-rotating disk with permeable media and nanoparticle aggregation. Additionally, the influence of thermal radiation, heterogeneous–homogeneous chemical reactions, suction and heat source/sink are considered in the analysis. The governing partial differential equations (PDEs) are converted into dimensionless ordinary differential equations (ODEs) using appropriate similarity variables. Runge–Kutta Fehlberg’s fourth-fifth order (RKF-45) scheme is employed to solve the obtained ODEs numerically. The comparison of fluid flow with nanoparticle aggregation and without aggregation cases for various parameters is shown graphically. For the porosity parameter, skin friction is enhanced by approximately 15.2% for the case without aggregation and 16.55% for the case with aggregation. The velocity profiles drop as the Brownian relaxation time’s value rises. The thermal profile increases with the rising values of the heat generation/absorption parameter.

Metal matrix composites (MMCs) possess a unique array of mechanical and physical attributes, setting them apart from unreinforced matrix alloys. These include exceptional specific strength, toughness and impact properties, remarkable thermal stability, heightened electrical, elevated wear resistance and commendable corrosion inhibition. To shape discontinuously reinforced MMCs into near-net shapes and enhance their strength, and ductility, secondary deformation processes can be employed. Conventional secondary processes forging, extrusion, rolling and friction stir processing are dealt with in detail in this chapter. Thermo mechanical treatment can be integrated into the manufacturing process immediately or following the initial stages of fabrication or consolidation. To achieve the desired microstructural and mechanical properties, processing conditions such as temperature, total deformation, and deformation rate must be optimized for the system being treated. Many research groups have conducted extensive investigations on the influence of hot and cold manufacturing on the mechanical and microstructural characteristics of MMCs. Comparison of different forming processes are highlighted and the relationship between them is expressed.

The rapid advancement of technology is altering e-commerce with the incorporation of drones. This study digs into the complex influence of drones on logistical efficiency and user experience, addressing last-mile delivery issues. Drones improve supply chain sustainability by reducing delivery times and costs. They also improve the client experience by providing real-time order tracking and personalised delivery choices. Ongoing research looks on synergies with AR/VR to provide immersive retail experiences. Despite the promise, obstacles like law and privacy issues abound. The study's goal is to provide insights regarding drone integration in e-commerce, focusing on transformative prospects and difficulties, and anticipating a paradigm change in delivery techniques and heightened customer expectations.