Electroviscous Effect of Water-Base Nanofluid Flow between Two Parallel Disks with Suction/Injection Effect

• Published in: Mathematics (Basel) Vol. 10; no. 6; p. 956
• Main Authors: Khan, Muhammad Sohail, Mei, Sun, Shabnam, Fernandez-Gamiz, Unai, Noeiaghdam, Samad, Khan, Aamir, Shah, Said Anwar
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.03.2022
• Subjects: Compressing; Continuation methods; Cooling; Disks; electro-viscous fluid; Fluid flow; Fluids; Friction; Hartmann number; Heat conductivity; Heat exchangers; Heat transfer; Heat transmission; Kerosene; Lorentz force; Magnetic fields; Magnetic properties; Mathematics; nanofluid; Nanofluids; Nanomaterials; Nanoparticles; Nonlinear differential equations; parametric continuation method and BVP4C; Partial differential equations; Physical properties; Power transfer; Prandtl number; Suction
• ISSN: 2227-7390; 2227-7390
• DOI: 10.3390/math10060956

This article, investigates the behaviour of an ionized nanoliquid motion regarding heat transmission between two parallel discs. In the proposed model, the squeezing flow of Cu-water nanofluid with electrical potential force is analysed for studying the flow properties and an uniform magnetic field is applied to that fluid, by taking the surface of the bottom disc porous. We have also studied the effects of different nanomaterials on the transmission of heat through nanofluids. Furthermore, the influence of various physical parameters in the proposed model of nanofluids flow like volume fraction of nanomaterials, squeezing number, Hartmann number, Eckert number, and Prandtl number are analysed and discussed quantitatively through various tables and graphs. The system of nonlinear partial differential equations (PDE’s) has been used to formulate the proposed flow model and later converted to a set of nonlinear ODE’s by mean similarity transformation. Further, the reduced form of ODEs has been solved by Parametric Continuation Method (PCM), which is a stable numerical scheme. The outcomes obtained from the proposed model could also be used to analyse nanofluid flow in several fields, such as polymer processing, power transfer and hydraulic lifts.