Abstract

In a rectangular region, the multilayered laminar unsteady flow and temperature distribution of the immiscible Maxwell fractional fluids by two parallel moving walls are studied. The flow of the fluid occurs in the presence of Robin’s boundaries and linear fluid-fluid interface conditions due to the motion of the parallel walls on its planes and the time-dependent pressure gradient. The problem is defined as a mathematical model which focuses on the fluid memory, which is represented by a constituent equation with the Caputo time-fractional derivative. The integral transformations approach (the Laplace transform and the finite sine-Fourier transform) is used to determine analytical solutions for velocity, shear stress, and the temperature fields with fluid interface, initial, and boundary conditions. For semianalytical solutions, the algorithms of Talbot are used to calculate the Laplace inverse transformation. We used the Mathcad software for graphical illustration and numerical computation. It has been observed that the memory effect is significant on both fluid motion and temperature flow.

Highlights

  • In nature, there often exist flows of immiscible materials

  • A long-wave technique was used for the first study of the linear stability of the viscoelastic two-layered simultaneous Poiseuille and Couette flow by Yih [5]

  • Time-dependent simultaneous n-layer fluid flow in a rectangular channel was examined through heat exchange of Maxwell immiscible fluids with generic constitutive equations for the shear stress and heat flux

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Summary

Introduction

Due to its broad application in research, medicine, geophysics, industry, petroleum engineering, and hydrogeology, the study of simultaneous flow of two or more immiscible fluids is significant [1,2,3,4]. Fluid flow is multicomponent, and there are layers of fluids having different densities and viscosities The interface of these layers creates moving boundaries in between the walls of the channel in which fluid is flowing. This causes flow phenomenon to be nonlinear and very complex and its study challenging.

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