Numerical investigation for thermal optimization of magnetized hybrid nanofluid regulated by peristalsis involving electroosmosis effects

Abstract

Investigation of hydromagnetic peristaltic activity has significance in biomedical, engineering and industrial processes. Such consideration in medical processes has pivotal role for treatment of diseases associated with liver, hernias, skin, jaundice, cancer therapy, gout and spams, nervous disorder and diagnosis by Magnetic Resonance Imaging (MRI). Importance of nanoparticles in peristalsis cannot be denied when considering processes like biosensor, drug delivery, injury repair, vaccine adjuvant etc. Especially the peristalsis through nanoparticles and electromagnetic fields is useful for pain control, wound healing, cancer gene therapy, bleeding reduction during surgeries, bone repair, electro-chemotherapy, nerve electrophysiology and particle filtrations. The concept of heat transfer resulting from peristalsis cannot be ignored. Motivated by these facts the hydromagnetic mixed convective peristalsis of blood in an asymmetric channel is addressed. Here hybrid nanomaterial containing silver (Ag) and copper (Cu) nanoparticles are employed. Analysis is addressed with electroosmosis, radiation, Joule heating and dissipation. Electroosmosis effects are explained with the help of Poisson and Nernst–Planck equations. Debye–Huckel approximations is taken to attain the electric potential’s distribution along the electron double layer (EDL). Impacts of magnetohydrodynamics through Lorentz force is invoked. Viscosity and thermal conductivity are not constant. Convective and velocity slip boundary constraints are applied. Long wavelength and small Reynolds number are adopted. Solutions development is numerically organized. Outcomes for pertinent variables on velocity, temperature, pressure gradient and streamlines are studied with the help of graphs. Heat transfer rates are discussed in detail. Heat transmission intensifies up to 42% and 33% by enhancing Grashof and Brinkman number respectively and it reduces for Radiation parameter up to 20%. Results are analyzed physically.