MA4814: Apply the Finite Volume Technique to Discretize and solve one-Dimensional fully Developed Laminar flow Between two Horizontal Parallel Plates Governed by: Computational Fluid Dynamics Continuous Homework, NTU, Singapore

University Nanyang Technological University (NTU)
Subject MA4814: Computational Fluid Dynamics Continuous

Learning Objectives

  • Determine the criterion for grid convergence for a laminar one-dimensional channel flow
  • Solve nonlinear one-dimensional channel flow for non-Newtonian fluid

Problem 1

Apply the finite volume technique to discretize and solve one-dimensional fully developed laminar flow between two horizontal parallel plates governed by

𝑒𝑒 is the velocity, 𝑃𝑃π‘₯π‘₯ is the pressure gradient and Β΅ is the viscosity. In conservative form, this can be written as

In your solution show:
β€’ A sketch for the cells, clearly marking faces and nodes for internal and boundary cells.
β€’ Apply the linear approximation and use Dirichlet (velocity specified) boundary conditions to determine the approximate equations for internal and boundary cells.
β€’ Compute the velocity distribution and compare your result with the exact solution, by adapting one of the uploaded codes. The number of grid cells is left up to you to determine. The solution must be grid converged.
For the numerical solution, let 𝑃𝑃π‘₯π‘₯ = 2Β΅, β„Ž = 0.1, 𝑒𝑒(0) = 𝑒𝑒1 = 0.01, & 𝑒𝑒(β„Ž) = 𝑒𝑒2 = 0. For grid convergence, you may define an error norm , and require that the error is less than 0.01𝑒 = 0.01 Γ— 0.01. The exact solution is given by

Problem 2

Apply the finite volume technique to discretize and solve one-dimensional fully developed laminar non-Newtonian flow between two horizontal parallel plates governed by,

𝑒𝑒 is the velocity, 𝑃𝑃π‘₯π‘₯ is the pressure gradient. For non-Newtonian fluids, the viscosity ¡𝑒𝑒 depends on the flow strain rate, which for one-dimensional fully developed flow is approximated by,

where πœ‡πœ‡π‘œπ‘œ, πœ…πœ… are constants. Non-Newtonian fluids exist in several important applications, particularly in fluids using in printing, molten plastics used in 3D printers and most important for us, in blood and rheological flows. For more insight, you can check

https://www.rheosense.com/applications/viscosity/newtonian-non-newtonian

to learn more about the shear thinning and thickening effects. As this is a non-linear problem, it is highly recommended to follow the suggested algorithm

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1. Solve the case for the Newtonian fluid as a baseline. You already have the solution to problem 1. Call the solution 𝑒1

2. Solve the non-linear problem. Note you need to compute the viscosity πœ‡πœ‡π‘’π‘’ on the faces of the volumes. To do so, use the velocity computed in step 1, and determine the viscosity on the north and south face. After solving, call the solution 𝑒𝑒2.

3. Compute the residual (change in the solution from steps 1 and 2) to determine if you have converged. For the residual use the code β€œresidual = norm(u1-u2,2)” which calculate the difference between two vectors 𝑒𝑒1, 𝑒𝑒2 and obtains the 𝐿𝐿2 norm (standard deviation).

4. Rename the solutions, 𝑒𝑒1 = 𝑒𝑒2ot add a terminating condition at this stage. You already have a code in the distribution package for a non-linear diffusion problem that you can adapt.

Regardless adding an outer loop for the iteration should not be difficult. To make life simpler, use 𝑁𝑁 = 25 grid points, 𝑃𝑃π‘₯π‘₯

5. Repeat step (2)-(4) 50 times. In practice we stop after convergence, however, to simplify the programming for you, I will nΒ = 2Β΅ o, β„Ž = 0.1, 𝑒𝑒(0) = 𝑒𝑒(β„Ž) = 0

To make life simpler, use 𝑁𝑁 = 25 grid points, 𝑃𝑃π‘₯π‘₯ = 2Β΅ o, β„Ž = 0.1, 𝑒𝑒(0) = 𝑒𝑒(β„Ž) = 0. Solve for πœ…πœ… = βˆ’0.3, 0, 0.3. Plot the residuals versus the number of iterations, and the normalized velocity (take your solution 𝑒𝑒2 and divide by the mean of 𝑒𝑒2) versus the channel height. The output should look like the following plots

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