Non Newtonian Nano Fluid Heat Transfer, Paper Numerical Validation, ANSYS Fluent Training
$480.00 Student Discount
The present project is going to simulate the Non-Newtonian fluid heat transfer containing nanoparticle inside a tube.
Description
Project Description
The present project is going to simulate the heat transfer and the flow of a Non-Newtonian fluid containing nanoparticles inside a tube by ANSYS Fluent software. The base fluid contains water and substances called xanthan which, due to the solubility of xanthan in the water, has the properties of non-Newtonian fluids. This non-Newtonian fluid contains Nano aluminum oxide (Al2O3) to increase the rate of heat transfer. This simulation was carried out by two-dimensional for simplification, considering the heat flux in the wall. For the non-Newtonian fluid simulation, the Herschel-Bulkley model is used in the viscosity tab.
Assumption (Non-Newtonian)
There are several assumptions used for the present simulation:
The solver is Pressure-Based, and the simulation is Steady. Also, the simulation is performed as axisymmetric.
Geometry & Mesh
The present 2-D modeling is done using Design Modeler software. Due to the simulation of the flow in the tube and the symmetry in it, only one plane of symmetry is modeled. The meshing of the present model was done using ANSYS Meshing software with a structured type. Also, due to the physics of the problem and the existence of heat transfer and better flow simulation along the walls, a near-wall boundary layer mesh is used.
Non-Newtonian Fluid Flow CFD Simulation
We present summaries of the problem definition and problem-solving steps in the table:
Models | ||||
Laminar | Viscous model | |||
Herschel-Bulkley | Viscosity | |||
on | Energy | |||
Boundary conditions (Non-Newtonian) | ||||
velocity inlet | Inlet type | |||
1.269787769 m/s | Velocity magnitude (Re=900) | |||
1.732714752 m/s | Velocity magnitude (Re=1600) | |||
295 K | Temperature | |||
Pressure outlet | Outlet type | |||
0 Pa | gauge pressure | |||
300 K | backflow total temperature | |||
wall | Walls type | |||
No slip | Shear condition | |||
8846.4 W.m-2 | heat flux | |||
Solution Methods | ||||
simple | Pressure-velocity coupling | |||
Second order | pressure | Spatial discretization | ||
Second order upwind | momentum | |||
Second order upwind | energy | |||
Initialization | ||||
Standard | Initialization method | |||
295 K | temperature |
Boundary Condition (Non-Newtonian)
At the inlet, the velocity inlet boundary condition is set where the velocity value is entered at two different Reynolds in this section for the different simulations and at the inlet temperature is 295 Kelvin. The thermal heat flux condition is introduced. At the symmetry part of the pipe, the axis condition and at the outlet condition the pressure outlet is applied by atmospheric pressure and in the thermal part, it has a backflow temperature of 300 Kelvin.
Reference Value
Since the purpose of the problem is to investigate the heat transfer and fluid behavior only in the fluid zone, we select the fluid flow inside the tubular space as the reference zone.
Validation (Non-Newtonian)
In this project, we simulate a non-Newtonian fluid flow with the help of Computational Fluid Dynamics (CFD).
We compare the CFD results with the article results for the validation.
“Modeling of forced convective heat transfer of a non-Newtonian nanofluid in the horizontal tube under constant heat flux with computational fluid dynamics”.
We select Figure 3, part “a” as the target diagram for validation, in two Reynolds 900 and 1600 simulations and we compare the results of the heat transfer coefficient with the paper.
The following table presents the results of this simulation:
Error (%) | Present Results | Paper Results | |
1.43 | 1676.070374 | 1700 | Re=900 |
5.53 | 1846.789 | 1750 | Re=1600 |
As you can see in the table above, the error is low, and the simulation results have a good accuracy.
Mae Ritchie –
Can this simulation be customized to model different types of fluidized bed reactors?
MR CFD Support –
Yes, we are open to accommodate your desired simulations. Please share more details about your specific design.