The thermal and mechanical effects of human tissues and physics that governs biological processes has been developed by applying fundamental engineering principles in the investigation of numerous heat and mass transfer applications in biology and medicine. An incompressible magnetohydrodynamic nanofluid flow passing over a stretched surface along with the effect of viscous dissipation is analyzed numerically. In order to create a nonlinear transformed model in terms of ordinary differential equations, suitable similarity transformations are used and solved by employing a Mathematica algorithm. Furthermore, a minimal case comparison standard has been provided to validate the current methodology. The machine learning method is built through very important parameters. Simulations and machine learning approaches could work together to reveal new and fortunate prospects in computational science and engineering problems. The performance of the parameters in terms of heat and mass transfer is presented with an aid of graph to demonstrate the applicability of the current model.
TopIntroduction
Thermal transfer within living organisms, bioheat transport, is a crucial biological and therapeutic problem that incorporates distinctive features in thermal therapies, cryobiology, burn injuries, illness diagnostics, and thermal comfort evaluations. The thermal side impact of different treatments is a crucial problem in bioheat research, such as bone drilling (Davidson, 2003), temperature increase in knee replacement (Sawyer, 2003), and laser eye surgery ((Amara, 1995), (Chua, 2005), (Scott, 1988)). Many researchers are interested in looking at the effects of heat and mass transport on biofluids from both a theoretical and practical or clinical perspective.
The heat transfer phenomenon is caused by a temperature difference between two different types of bodies. Transportation of heat and mass has a significant impact on crystal growth, polyethylene and paper formation, cooling of metallic sheets in cooling baths, metal castings, latent heat storage, and many others. The procedure of heat and mass transfer passing through a stretching sheet is examined in many other sectors, such as glass fiber manufacture, aerodynamic extrusion of plastic sheets, and glass blowing. In all of these applications, the quality of the received product is determined by the rate of heat transfer at the stretching surfaces. Many authors examined heat and mass transport and its uses ((Bhatti, 2017), (Devi, 2009),(Raju, 2016)). There are some other related studies ((Gorla, 1994), (Hassani, 2011)) to the articles mentioned above.
A nanofluid is a fluid in which solid nanoparticles with length scales of 1–100 nm are embedded in a fundamental heat transfer fluid. It has been known that inserting highly conductive particles into basic pure fluids can effectively enhance heat conductivity. Choi et al. (Choi, 1995)analyzed the enhancing thermal conductivity of fluids with nanoparticles. Das et al. (Das, 2007)constructed an introduction to nanofluids and their properties. Kakac et al. (Kakac, 2009)considered nanofluids to offer significant advantages over heat transfer fluids. Buongiorno (Buongiorno, 2006)employed an analytical model for convective transport in nanofluids by the consideration of Brownian motion and thermophoresis. Below Figure 1 shows Schematic Diagram of the Proposed Research Model
Figure 1. Schematic diagram of the proposed research model